You searched for subject:(Intelligent vehicles).
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Queens University
1.
Abdelhamid, Sherin.
Towards Provisioning Vehicle-Based Information Services
.
Degree: Computing, 2014, Queens University
URL: http://hdl.handle.net/1974/12631 
► Smart vehicles are considered key enablers for intelligent transport systems. They are equipped with components to enable services for vehicle occupants, other vehicles on roads,…
(more)
▼ Smart vehicles are considered key enablers for intelligent transport systems. They are equipped with components to enable services for vehicle occupants, other vehicles on roads, and third parties. In-vehicle sensors, diversified communication modules, and an on-board unit with high computing and storage capabilities enable the smart vehicle to work as a mobile resource of diverse scopes of services.
With the high benefits the public sensing paradigm brought to the application domain, there is interest nowadays to widen the scope of applications by engaging more resources in the sensing loop. Although smartphones have been the main players in this domain, their use suffers from limitations due to the scarcity of their on-board resources and their unpredictable mobility patterns. Concurrently, the plethora of on-board resources in smart vehicles along with their ubiquitous mobility are pushing towards utilizing them for providing remarkable public sensing services.
In this thesis, we unveil the different resources a smart vehicle can provide on roads or at parking lots highlighting diversified information services that can come into action through utilizing such resources. Motivated by the high rise of the public sensing paradigm, we propose a vehicular public sensing platform that aims at exploiting the sensing, storage, processing and relaying resources of smart vehicles for provisioning ubiquitous, sensing-based information services. As parts of the proposed platform, we present a collection of solutions to handle some challenges facing such use of vehicles for public sensing. Our proposed solutions involve a framework to handle reputation-aware recruitment and selection of smart vehicles for achieving desired coverage of an area of interest within a budget limit. In addition, the presented solutions involve a data delivery scheme that considers on-road caching and forwarding assistance in accessing the sensing-based vehicular resources targeting improving the incurred access cost and delay. Extensive performance evaluation is conducted showing the improvements achieved by the proposed solutions in their targeted objectives compared to other popular systems and schemes.
Subjects/Keywords: Smart Vehicles
;
Intelligent Transport Systems
;
Public Sensing
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APA (6th Edition):
Abdelhamid, S. (2014). Towards Provisioning Vehicle-Based Information Services
. (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/12631
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Abdelhamid, Sherin. “Towards Provisioning Vehicle-Based Information Services
.” 2014. Thesis, Queens University. Accessed March 08, 2021.
http://hdl.handle.net/1974/12631.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Abdelhamid, Sherin. “Towards Provisioning Vehicle-Based Information Services
.” 2014. Web. 08 Mar 2021.
Vancouver:
Abdelhamid S. Towards Provisioning Vehicle-Based Information Services
. [Internet] [Thesis]. Queens University; 2014. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1974/12631.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Abdelhamid S. Towards Provisioning Vehicle-Based Information Services
. [Thesis]. Queens University; 2014. Available from: http://hdl.handle.net/1974/12631
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Delft University of Technology
2.
van Laar, Patrick (author).
Acoustic recognition of motorized vehicles with a moving listener.
Degree: 2019, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:3e74c3a7-9099-48c0-ab26-afb0fa785629
► New measures have to be taken to combat fatalities caused by traffic accidents. Intelligent vehicles have the potential to increase safety, but depend heavily on…
(more)
▼ New measures have to be taken to combat fatalities caused by traffic accidents. Intelligent vehicles have the potential to increase safety, but depend heavily on their automated perception ability. Acoustic perception, an unused sensing modality in this field, has potential for the detection of nearby vehicles, an ability both human drivers and autonomous vehicles could use assistance with. In this thesis two existing datasets, AudioSet a large general purpose dataset and RoadCube a small dedicated vehicle recognition set, are evaluated. Furthermore commonly used acoustic features and classifier algorithm are evaluated. Special attention is given to the influence of a moving listener vehicle on the performance. For the evaluation a new dataset, DriveSound, is captured. It contains samples captured from a listener car, both when its moving or idle. Results show that RoadCube can be used for the detection of road vehicles, but only when the listener is idle. The best performing classifier from RoadCube, a Gaussian Mixture Model classifier surpassed classifiers trained on the evaluation dataset itself with a Matthews Correlation Coefficient (MCC) of 0.34. None of the classifiers performed well on the samples captured by a moving listener, except for the DriveSound-driving classifiers. The Support Vector Machine trained on this dataset attained a MCC of 0.56.
Mechanical Engineering | Vehicle Engineering
Advisors/Committee Members: Hehn, Thomas (mentor), Kooij, Julian (mentor), de Winter, Joost (graduation committee), Jonker, Pieter (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: Acoustic perception; Intelligent Vehicles; Machine Learning
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APA (6th Edition):
van Laar, P. (. (2019). Acoustic recognition of motorized vehicles with a moving listener. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:3e74c3a7-9099-48c0-ab26-afb0fa785629
Chicago Manual of Style (16th Edition):
van Laar, Patrick (author). “Acoustic recognition of motorized vehicles with a moving listener.” 2019. Masters Thesis, Delft University of Technology. Accessed March 08, 2021.
http://resolver.tudelft.nl/uuid:3e74c3a7-9099-48c0-ab26-afb0fa785629.
MLA Handbook (7th Edition):
van Laar, Patrick (author). “Acoustic recognition of motorized vehicles with a moving listener.” 2019. Web. 08 Mar 2021.
Vancouver:
van Laar P(. Acoustic recognition of motorized vehicles with a moving listener. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Mar 08].
Available from: http://resolver.tudelft.nl/uuid:3e74c3a7-9099-48c0-ab26-afb0fa785629.
Council of Science Editors:
van Laar P(. Acoustic recognition of motorized vehicles with a moving listener. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:3e74c3a7-9099-48c0-ab26-afb0fa785629
3.
Dominguez-Sanchez, Alex.
Recognition of driving objects in real time with computer vision and deep neural networks
.
Degree: 2018, University of Alicante
URL: http://hdl.handle.net/10045/88751
► Traffic is one of the key elements nowadays that affect our lives more or less in a every day basis. Traffic is present when we…
(more)
▼ Traffic is one of the key elements nowadays that affect our lives more or less in a every day basis. Traffic is present when we go to work, is on week ends, on holidays, even if we go shopping in our neighborhood, traffic is present. Every year, we can see on TV how after a bank holiday (United Kingdom public holiday), the traffic incidents are a figure that all TV news are obliged to report. If we see the accident causes, the ones caused by mechanical failures are always a minimal part, being human causes the majority of times. In our society, the tasks where technology help us to complete those with 100% success are very frequent. We tune our TVs for digital broadcasting, robots complete thousands of mechanical tasks, we work with computers that do not crash for months or years, even weather forecasting is more accurate than ever. All those aspects in our lives are successfully carried out on a daily basis. Nowadays, in traffic and road transport, we are starting a new era where driving a vehicle can be assisted partially or totally, parking our car can be done automatically, or even detecting a child in the middle of the road can be automatically done instead of leaving those tasks to the prone-to-fail human. The same features that today amaze us (as in the past did the TV broadcast in colour), in the future, those safety features will be a common thing in our cars. With more and more
vehicles in the roads, cars, motorbikes, bicycles, more people in our cities and the necessity to be in a constant move, our society needs a zero-car-accidents conception, as we have now the technology to achieve it. Computer Vision is the computer science field that since the 80s has been obsessed with emulating the way human see and perceive their environment and react to it in an
intelligent way. One decade ago, detecting complex objects in a scene as a human was impossible. All we could do was to detect the edges of an object, to threshold pixel values, detect motion, but nothing as the human capability to detect objects and identify their location. The advance in GPUs technology and the development of neural networks in the computer vision community has made those impossible tasks possible. GPUs now being a commodity item in our lives, the increase of amount and speed of RAM and the new and open models developed by experts in neural networks, make the task of detecting a child in the middle of a road a reality. In particular, detections with 99.79% probability are now possible, and the 100% probability goal is becoming a closer reality. In this thesis we have approached one of the key safety features in systems for traffic analysis, that is monitoring pedestrian crossing. After researching the state-of-the-art in pedestrian movement detection, we have presented a novel strategy for such detection. By locating a fixed camera in a place where pedestrians move, we are able to detect the movement of those and their direction. We have achieved that task by using a mix of old and new methodologies. Having a fixed camera, allow us to…
Advisors/Committee Members: Cazorla, Miguel (advisor), Orts-Escolano, Sergio (advisor).
Subjects/Keywords: Deep Learning;
Intelligent vehicles;
Traffic data
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APA (6th Edition):
Dominguez-Sanchez, A. (2018). Recognition of driving objects in real time with computer vision and deep neural networks
. (Thesis). University of Alicante. Retrieved from http://hdl.handle.net/10045/88751
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Dominguez-Sanchez, Alex. “Recognition of driving objects in real time with computer vision and deep neural networks
.” 2018. Thesis, University of Alicante. Accessed March 08, 2021.
http://hdl.handle.net/10045/88751.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Dominguez-Sanchez, Alex. “Recognition of driving objects in real time with computer vision and deep neural networks
.” 2018. Web. 08 Mar 2021.
Vancouver:
Dominguez-Sanchez A. Recognition of driving objects in real time with computer vision and deep neural networks
. [Internet] [Thesis]. University of Alicante; 2018. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10045/88751.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Dominguez-Sanchez A. Recognition of driving objects in real time with computer vision and deep neural networks
. [Thesis]. University of Alicante; 2018. Available from: http://hdl.handle.net/10045/88751
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Sydney
4.
Zyner, Alex Grzegorz.
Naturalistic Driver Intention and Path Prediction using Machine Learning
.
Degree: 2018, University of Sydney
URL: http://hdl.handle.net/2123/20505
► Autonomous vehicles are still yet to be available to the public. This is because there are a number of challenges that have not been overcome…
(more)
▼ Autonomous vehicles are still yet to be available to the public. This is because there are a number of challenges that have not been overcome to ensure that autonomous vehicles can safely and efficiently drive on public roads. Accurate prediction of other vehicles is vital for safe driving, as interacting with other vehicles is unavoidable on public streets. This thesis explores reasons why this problem of scene understanding is still unsolved, and presents methods for driver intention and path prediction. The thesis focuses on intersections, as this is a very complex scenario in which to predict the actions of human drivers. There is very limited data available for intersection studies from the perspective of an autonomous vehicle. This thesis presents a very large dataset of over 23,000 vehicle trajectories, used to validate the algorithms presented in this thesis. This dataset was collected using a lidar based vehicle detection and tracking system onboard a vehicle. Analytics of this data is presented. To determine the intent of vehicle at an intersection, a method for manoeuvre classification through the use of recurrent neural networks is presented. This allows accurate predictions of which destination a vehicle will take at an unsignalised intersection, based on that vehicle's approach. The final contribution of this thesis presents a method for driver path prediction, based on recurrent neural networks. It produces a multi-modal prediction for the vehicle’s path with uncertainty assigned to each mode. The output modes are not hand labelled, but instead learned from the data. This results in there not being a fixed number of output modes. Whilst the application of this method is vehicle prediction, this method shows significant promise to be used in other areas of robotics.
Subjects/Keywords: Machine Learning;
Intelligent Vehicles;
Path Prediction
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APA (6th Edition):
Zyner, A. G. (2018). Naturalistic Driver Intention and Path Prediction using Machine Learning
. (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/20505
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Zyner, Alex Grzegorz. “Naturalistic Driver Intention and Path Prediction using Machine Learning
.” 2018. Thesis, University of Sydney. Accessed March 08, 2021.
http://hdl.handle.net/2123/20505.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Zyner, Alex Grzegorz. “Naturalistic Driver Intention and Path Prediction using Machine Learning
.” 2018. Web. 08 Mar 2021.
Vancouver:
Zyner AG. Naturalistic Driver Intention and Path Prediction using Machine Learning
. [Internet] [Thesis]. University of Sydney; 2018. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/2123/20505.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Zyner AG. Naturalistic Driver Intention and Path Prediction using Machine Learning
. [Thesis]. University of Sydney; 2018. Available from: http://hdl.handle.net/2123/20505
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Rutgers University
5.
Chantzialexiou, Georgios, 1992-.
Developing messaging and real time processing system for cloud connected cars.
Degree: MS, Electrical and Computer Engineering, 2019, Rutgers University
URL: https://rucore.libraries.rutgers.edu/rutgers-lib/61708/
► In the recent years, the interest in developing self driving cars, autonomous drones and connected cars skyrockets. That is leading to the need to develop…
(more)
▼ In the recent years, the interest in developing self driving cars, autonomous drones and connected cars skyrockets. That is leading to the need to develop a cloud messaging system with close to real time capabilities that enable
vehicles share information to each other in order to help them improve their navigation. Although, there are many popular existing cloud messaging and processing solutions, these engines introduce diverse characteristics and runtime architectures, so there is a need to analyze not only the resources they require but also the execution time they manage to achieve. The complexity of the task, is also affected by execution parameters of the underlying algorithm. The outcome of such analysis will provide us with the means to understand the advantages and disadvantages of every execution engine under specific circumstances, and also let us deploy user policies in cloud environments that relate to the cost and the time restraints of the executions. For this purpose, we must conduct an experimental analysis on those engines through a profiling process, where we will measure the usage of the resources as well as the overall execution time. The results of this process will enable us to construct static predictive models that could simulate the performance of the engines for varying execution parameters.
In this thesis we used Kafka as our distributed messaging system and measured the communication between cars. We choose Kafka instead of other messaging systems due to its reliability, scalability, ease of use, proven success, and popularity across the big data community.
Furthermore, we used Apache Spark as the real-time processing engine. We chose Spark because it is easy to integrate it with Kafka, for its scalability, reliability, ease of use and its popularity. Moreover, the Machine Learning library of Spark is widely used. In order to analyze the suitability of the above system we developed mini applications that simulate real-world scenarios to analyze the performance of the system. We run experiments using different settings and different workloads and measure performance that help us understand the behavior of the system.
Advisors/Committee Members: Striki, Maria (chair), School of Graduate Studies.
Subjects/Keywords: Automated vehicles – Design; Intelligent agents (Computer software)
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APA (6th Edition):
Chantzialexiou, Georgios, 1. (2019). Developing messaging and real time processing system for cloud connected cars. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/61708/
Chicago Manual of Style (16th Edition):
Chantzialexiou, Georgios, 1992-. “Developing messaging and real time processing system for cloud connected cars.” 2019. Masters Thesis, Rutgers University. Accessed March 08, 2021.
https://rucore.libraries.rutgers.edu/rutgers-lib/61708/.
MLA Handbook (7th Edition):
Chantzialexiou, Georgios, 1992-. “Developing messaging and real time processing system for cloud connected cars.” 2019. Web. 08 Mar 2021.
Vancouver:
Chantzialexiou, Georgios 1. Developing messaging and real time processing system for cloud connected cars. [Internet] [Masters thesis]. Rutgers University; 2019. [cited 2021 Mar 08].
Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/61708/.
Council of Science Editors:
Chantzialexiou, Georgios 1. Developing messaging and real time processing system for cloud connected cars. [Masters Thesis]. Rutgers University; 2019. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/61708/
Florida Atlantic University
6.
Klinger, Wilhelm B.
Adaptive controller design for an autonomous twin-hulled surface vessel with uncertain displacement and drag.
Degree: MS, 2014, Florida Atlantic University
URL: http://purl.flvc.org/fau/fd/FA00004130
;
(URL)
http://purl.flvc.org/fau/fd/FA00004130
► Summary: The design and validation of a low-level backstepping controller for speed and heading that is adaptive in speed for a twin-hulled underactuated unmanned surface…
(more)
▼ Summary: The design and validation of a low-level backstepping controller for speed and
heading that is adaptive in speed for a twin-hulled underactuated unmanned surface
vessel is presented. Consideration is given to the autonomous launch and recovery of an
underwater vehicle in the decision to pursue an adaptive control approach. Basic system
identification is conducted and numerical simulation of the vessel is developed and
validated. A speed and heading controller derived using the backstepping method and a
model reference adaptive controller are developed and ultimately compared through
experimental testing against a previously developed control law. Experimental tests show
that the adaptive speed control law outperforms the non-adaptive alternatives by as much
as 98% in some cases; however heading control is slightly sacrificed when using the
adaptive speed approach. It is found that the adaptive control law is the best alternative
when drag and mass properties of the vessel are time-varying and uncertain.
2014
Degree granted: Thesis (M.S.) – Florida Atlantic University, 2014.
Collection: FAU
Advisors/Committee Members: von Ellenrieder, Karl (Thesis advisor), Florida Atlantic University (Degree grantor), College of Engineering and Computer Science, Department of Ocean and Mechanical Engineering.
Subjects/Keywords: Adaptive control systems; Drag (Aerodynamics); Intelligent control systems; Intelligent control systems; Vehicles, Remotely piloted
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APA (6th Edition):
Klinger, W. B. (2014). Adaptive controller design for an autonomous twin-hulled surface vessel with uncertain displacement and drag. (Masters Thesis). Florida Atlantic University. Retrieved from http://purl.flvc.org/fau/fd/FA00004130 ; (URL) http://purl.flvc.org/fau/fd/FA00004130
Chicago Manual of Style (16th Edition):
Klinger, Wilhelm B. “Adaptive controller design for an autonomous twin-hulled surface vessel with uncertain displacement and drag.” 2014. Masters Thesis, Florida Atlantic University. Accessed March 08, 2021.
http://purl.flvc.org/fau/fd/FA00004130 ; (URL) http://purl.flvc.org/fau/fd/FA00004130.
MLA Handbook (7th Edition):
Klinger, Wilhelm B. “Adaptive controller design for an autonomous twin-hulled surface vessel with uncertain displacement and drag.” 2014. Web. 08 Mar 2021.
Vancouver:
Klinger WB. Adaptive controller design for an autonomous twin-hulled surface vessel with uncertain displacement and drag. [Internet] [Masters thesis]. Florida Atlantic University; 2014. [cited 2021 Mar 08].
Available from: http://purl.flvc.org/fau/fd/FA00004130 ; (URL) http://purl.flvc.org/fau/fd/FA00004130.
Council of Science Editors:
Klinger WB. Adaptive controller design for an autonomous twin-hulled surface vessel with uncertain displacement and drag. [Masters Thesis]. Florida Atlantic University; 2014. Available from: http://purl.flvc.org/fau/fd/FA00004130 ; (URL) http://purl.flvc.org/fau/fd/FA00004130
Nelson Mandela Metropolitan University
7.
Harvey, Luke Gareth.
A monitoring and control system for an accelerated weather test chamber.
Degree: 2019, Nelson Mandela Metropolitan University
URL: http://hdl.handle.net/10948/40360
► In the Automotive Sector, weathering tests of components are of paramount importance. The most critical components to the overall comfort and durability of a vehicle…
(more)
▼ In the Automotive Sector, weathering tests of components are of paramount importance. The most critical components to the overall comfort and durability of a vehicle are the interior components and thus is important to guarantee the quality of these components. The interior components are generally made of plastic, fabric, leather and various painted components. These components are prone to fading, cracking and distortion which is caused by natural factors such as solar radiation, temperature and moisture. This is known as natural weathering. Over the years many weathering tests have been carried out on automotive components to address critical issues during the design process. Many of these tests are simulated in chambers to mimic real life cycles. Although these accelerated tests provide somewhat accurate results in much shorter periods, natural weathering is still essential as it is uncontrolled and unpredictable. This dissertation looks at the method of a metallic chamber used to carry out weathering tests on automotive components and to simulate the conditions inside a vehicle. It addresses the current state and improvement: accurate tracking, intelligent fuzzy logic control and cloud-based monitoring. Currently weather testing chambers are stationery, which does not allow for maximum exposer to solar radiation. Therefore, a system was designed to allow the weather testing chamber to track the azimuth and elevation of the sun to increase the solar radiation on the components tested, a GPS will achieve this. Currently systems lack remote monitoring. A further shortcoming is the lack of controlling the temperature and humidity inside the chamber for sufficient tests. The use of a fuzzy logic controller was implemented to achieve this. The fuzzy logic was compared to other types of logic controllers. To further IoT integration, two main control devices were used, these control devices were two Arduino Mega’s. One Arduino Mega was used for the intelligent fuzzy logic control and the second for solar tracking. The weathering system and controllers were powered by using solar power. The fuzzy logic controller was tested while tracking the sun and then not tracking the sun. The results obtained were compared and it was seen that the fuzzy logic performed very well in both instances, however, the test with tracking the sun performed better. A second test was performed. The second test was similar to the previously mentioned test, but the fuzzy logic had a set point control. It was concluded that both tests performed as expected as the fuzzy logic controlled the temperature and humidity at the given setpoint, but during the solar tracking test the fuzzy logic control performed the best. The fuzzy logic worked well in general use as well as set point control, both for tracking and non-tracking. The tracking performed better than the non-tracking.
Subjects/Keywords: Materials – Deterioration – Testing; Motor vehicles – Testing; Motor vehicles – Automatic control; Intelligent control systems
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APA (6th Edition):
Harvey, L. G. (2019). A monitoring and control system for an accelerated weather test chamber. (Thesis). Nelson Mandela Metropolitan University. Retrieved from http://hdl.handle.net/10948/40360
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Harvey, Luke Gareth. “A monitoring and control system for an accelerated weather test chamber.” 2019. Thesis, Nelson Mandela Metropolitan University. Accessed March 08, 2021.
http://hdl.handle.net/10948/40360.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Harvey, Luke Gareth. “A monitoring and control system for an accelerated weather test chamber.” 2019. Web. 08 Mar 2021.
Vancouver:
Harvey LG. A monitoring and control system for an accelerated weather test chamber. [Internet] [Thesis]. Nelson Mandela Metropolitan University; 2019. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10948/40360.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Harvey LG. A monitoring and control system for an accelerated weather test chamber. [Thesis]. Nelson Mandela Metropolitan University; 2019. Available from: http://hdl.handle.net/10948/40360
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Delft University of Technology
8.
van den Berg, Berend (author).
Curvature Aware Motion Planning with Closed-Loop Rapidly-exploring Random Trees: Towards a generic motion planning algorithm.
Degree: 2020, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:d24b1082-8d07-492d-838f-4cc979528c33
► Last decades the autonomous driving research field has shown exponential growth. The social benefits, which include increased safety, mobility and productivity, are the main factor…
(more)
▼ Last decades the autonomous driving research field has shown exponential growth. The social benefits, which include increased safety, mobility and productivity, are the main factor that drive this growth. One of the most difficult problems that vehicle engineers must solve to develop autonomous vehicles is the motion planning problem. They must solve the motion planning problem for environments ranging from unstructured to structured, such as parallel parking up to high-speed highway driving. Current literature presents many implementations that solve either the structured or unstructured planning environment or a small range of environments. Yet, the generic implementation of a single motion planning method, that can plan in the full range of environments, is still an open question. The aim of this thesis is to address the identified gap in the literature, by realizing a real-time implementation of a single motion planning method, that shows human-like and safe driving behavior, and can deal with any environment it encounters. In this thesis, a method is proposed that solves the planning problem by enhancing the Closed-Loop Rapidly-exploring Random Tree (CL-RRT) algorithm for planning on curved structured roads. The planner is aware of the road curvature and deforms the motion plan, so it follows the shape of the road. Extensive simulations have demonstrated that the proposed method can improve the path quality on curved highway roads when compared with the standard RRT and CL-RRT. Although the method can plan in any environment it encounters, it demonstrated limitations in its capability of dealing with complex dynamic environments.
Mechanical Engineering
Advisors/Committee Members: Alirezaei, Mohsen (mentor), Alonso Mora, Javier (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: Intelligent Vehicles; Autonomous Vehicles; Motion Planning; RRT; Closed-Loop; Road curvature; Frénet Frame
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APA ·
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APA (6th Edition):
van den Berg, B. (. (2020). Curvature Aware Motion Planning with Closed-Loop Rapidly-exploring Random Trees: Towards a generic motion planning algorithm. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:d24b1082-8d07-492d-838f-4cc979528c33
Chicago Manual of Style (16th Edition):
van den Berg, Berend (author). “Curvature Aware Motion Planning with Closed-Loop Rapidly-exploring Random Trees: Towards a generic motion planning algorithm.” 2020. Masters Thesis, Delft University of Technology. Accessed March 08, 2021.
http://resolver.tudelft.nl/uuid:d24b1082-8d07-492d-838f-4cc979528c33.
MLA Handbook (7th Edition):
van den Berg, Berend (author). “Curvature Aware Motion Planning with Closed-Loop Rapidly-exploring Random Trees: Towards a generic motion planning algorithm.” 2020. Web. 08 Mar 2021.
Vancouver:
van den Berg B(. Curvature Aware Motion Planning with Closed-Loop Rapidly-exploring Random Trees: Towards a generic motion planning algorithm. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Mar 08].
Available from: http://resolver.tudelft.nl/uuid:d24b1082-8d07-492d-838f-4cc979528c33.
Council of Science Editors:
van den Berg B(. Curvature Aware Motion Planning with Closed-Loop Rapidly-exploring Random Trees: Towards a generic motion planning algorithm. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:d24b1082-8d07-492d-838f-4cc979528c33
New Jersey Institute of Technology
9.
Gutesa, Slobodan.
Development and evaluation of cooperative intersection management algorithm under connected vehicles environment.
Degree: PhD, Civil and Environmental Engineering, 2018, New Jersey Institute of Technology
URL: https://digitalcommons.njit.edu/dissertations/1367
► Recent technological advancements in the automotive and transportation industry established a firm foundation for development and implementation of various automated and connected vehicle (C/AV)…
(more)
▼ Recent technological advancements in the automotive and transportation industry established a firm foundation for development and implementation of various automated and connected vehicle (C/AV) solutions around the globe. Wireless communication technologies such as the dedicated short-range communication (DSRC) protocol are enabling instantaneous information exchange between
vehicles and infrastructure. Such information exchange produces tremendous benefits with the possibility to automate conventional traffic streams and enhance existing signal control strategies. While many promising studies in the area of signal control under connected vehicle (CV) environment have been introduced, they mainly offer solutions designed to operate a single isolated intersection or they require high technology penetration rates to operate in a safe and efficient manner. Applications designed to operate on a signalized corridor with imperfect market penetration rates of connected vehicle technology represent a bridge between conventional traffic control paradigm and fully automated corridors of the future.
Assuming utilization of the connected vehicle environment and vehicle to infrastructure (V2I) technology, all vehicular and signal-related parameters are known and can be shared with the control agent to control automated
vehicles while improving the mobility of the signalized corridor. This dissertation research introduces an intersection management strategy for a corridor with automated
vehicles utilizing vehicular trajectory-driven optimization method. The Trajectory-driven Optimization for Automated Driving (TOAD) provides an optimal trajectory for automated
vehicles while maintaining safe and uninterrupted movement of general traffic, consisting of regular unequipped
vehicles. Signal status parameters such as cycle length and splits are continuously captured. At the same time,
vehicles share their position information with the control agent. Both inputs are then used by the control algorithm to provide optimal trajectories for automated
vehicles, resulting in the reduction of vehicle delay along the signalized corridor with fixed-time signal control. To determine the most efficient trajectory for automated
vehicles, an evolutionary-based optimization is utilized. Influence of the prevailing traffic conditions is incorporated into a control algorithm using conventional data collection methods such as loop detectors, Bluetooth or Wi-Fi sensors to collect vehicle counts, travel time on corridor segments, and spot speed. Moreover, a short-term, artificial intelligence prediction model is developed to achieve reasonable deployment of data collection devices and provide accurate vehicle delay predictions producing realistic and highly-efficient longitudinal vehicle trajectories.
The concept evaluation through microsimulation reveals significant mobility improvements compared to contemporary corridor management approach. The results for selected test-bed locations on signalized arterials in New Jersey reveals up to…
Advisors/Committee Members: Joyoung Lee, Lazar Spasovic, I-Jy Steven Chien.
Subjects/Keywords: Automated vehicles; Connected vehicles; Cooperative vehicle infrastructure; Intelligent transportation systems; Signalization; Trajectory optimization; Transportation Engineering
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APA (6th Edition):
Gutesa, S. (2018). Development and evaluation of cooperative intersection management algorithm under connected vehicles environment. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/1367
Chicago Manual of Style (16th Edition):
Gutesa, Slobodan. “Development and evaluation of cooperative intersection management algorithm under connected vehicles environment.” 2018. Doctoral Dissertation, New Jersey Institute of Technology. Accessed March 08, 2021.
https://digitalcommons.njit.edu/dissertations/1367.
MLA Handbook (7th Edition):
Gutesa, Slobodan. “Development and evaluation of cooperative intersection management algorithm under connected vehicles environment.” 2018. Web. 08 Mar 2021.
Vancouver:
Gutesa S. Development and evaluation of cooperative intersection management algorithm under connected vehicles environment. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2018. [cited 2021 Mar 08].
Available from: https://digitalcommons.njit.edu/dissertations/1367.
Council of Science Editors:
Gutesa S. Development and evaluation of cooperative intersection management algorithm under connected vehicles environment. [Doctoral Dissertation]. New Jersey Institute of Technology; 2018. Available from: https://digitalcommons.njit.edu/dissertations/1367
Delft University of Technology
10.
Ammerlaan, Jelle (author).
Traffic Gesture Classification for Intelligent Vehicles.
Degree: 2020, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:6272db65-b324-40cf-83aa-6d7caf3c7917
► Self-driving vehicles have shown rapid development in recent years and continue to move towards full autonomy. For high or full automation, self-driving vehicles will have…
(more)
▼ Self-driving
vehicles have shown rapid development in recent years and continue to move towards full autonomy. For high or full automation, self-driving
vehicles will have to be able to address and solve a broad range of situations, one of which is interaction with traffic agents. For correct and save maneuvering through these situations, reliable detection of agents followed by an accurate classification of the traffic gestures used by agents is essential. This problem has received limited attention in literature to date. The objective of this work is to establish and investigate a working traffic gesture pipeline by leveraging the latest developments in the fields of computer vision and machine learning. This work investigates and compares how well state-of-the-art methods translate to traffic gesture recognition and what application specific problems are encountered. Multiple configurations based on skeletal features, estimated using OpenPose, and classified using recurrent neural networks (RNN) were investigated. Skeleton estimation using OpenPose and feature representations were evaluated using an action recognition dataset with motion capture ground-truth. Three RNN network architectures, varying in complexity and size, were evaluated on traffic gestures. The robustness of the developed system regarding viewpoint variation is explored, combined with the viability of transfer learning for traffic gestures. To train and validate these methods, a new traffic gesture dataset is introduced, on which an mAP of 0,70 is achieved. The results show that the proposed methods are able to classify traffic gestures within reasonable computation time and illustrate the value of transfer learning for gesture recognition. These promising results validate the methodology used and show that this direction warrants further research.
Advisors/Committee Members: Flohr, Fabian (mentor), Kooij, Julian (mentor), Gavrila, Dariu (graduation committee), de Winter, Joost (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: Machine Learning; Intelligent Vehicles; Traffic Gestures; Pose estimation; Gesture recognition
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APA (6th Edition):
Ammerlaan, J. (. (2020). Traffic Gesture Classification for Intelligent Vehicles. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:6272db65-b324-40cf-83aa-6d7caf3c7917
Chicago Manual of Style (16th Edition):
Ammerlaan, Jelle (author). “Traffic Gesture Classification for Intelligent Vehicles.” 2020. Masters Thesis, Delft University of Technology. Accessed March 08, 2021.
http://resolver.tudelft.nl/uuid:6272db65-b324-40cf-83aa-6d7caf3c7917.
MLA Handbook (7th Edition):
Ammerlaan, Jelle (author). “Traffic Gesture Classification for Intelligent Vehicles.” 2020. Web. 08 Mar 2021.
Vancouver:
Ammerlaan J(. Traffic Gesture Classification for Intelligent Vehicles. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Mar 08].
Available from: http://resolver.tudelft.nl/uuid:6272db65-b324-40cf-83aa-6d7caf3c7917.
Council of Science Editors:
Ammerlaan J(. Traffic Gesture Classification for Intelligent Vehicles. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:6272db65-b324-40cf-83aa-6d7caf3c7917
11.
Castro, Afonso de Jesus Cardoso Pinheiro de.
Multi-modal sensor calibration on board the ATLASCAR2
.
Degree: 2019, Universidade de Aveiro
URL: http://hdl.handle.net/10773/29127
► Complex robot systems have several sensors with different modalities. In order to estimate the pose of these various multi-modal sensors, some works propose sequential pairwise…
(more)
▼ Complex robot systems have several sensors with different modalities. In order to estimate the pose of these various multi-modal sensors, some works propose sequential pairwise calibrations, which have some inherent problems. ATLASCAR2 is an
intelligent vehicle with several sensors of different modalities. The main goal of this work is to calibrate all sensors on board the ATLASCAR2. A ROS based interactive and semi-automatic approach, that works for any robot system, even the most complex ones, was developed. After the step of identifying which geometric transformations, between all robot description, should be estimated and collecting the detected data from each sensor, a least-squares optimization occurs to enhance the
position and orientation of each one of the robot sensors. Results show that the four sensors simultaneous calibration is as good as the pairwise procedures used with the standard calibration tools, such as the OpenCV ones. In that way, the proposed solution brings a novel and advantageous methodology, since it fits to any complex robot system and calibrates all sensors at the same time.
Advisors/Committee Members: Oliveira, Miguel Armando Riem de (advisor).
Subjects/Keywords: Extrinsic Calibration;
Multi-Modal Sensors;
ROS;
Optimization;
Intelligent Vehicles
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APA (6th Edition):
Castro, A. d. J. C. P. d. (2019). Multi-modal sensor calibration on board the ATLASCAR2
. (Thesis). Universidade de Aveiro. Retrieved from http://hdl.handle.net/10773/29127
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Castro, Afonso de Jesus Cardoso Pinheiro de. “Multi-modal sensor calibration on board the ATLASCAR2
.” 2019. Thesis, Universidade de Aveiro. Accessed March 08, 2021.
http://hdl.handle.net/10773/29127.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Castro, Afonso de Jesus Cardoso Pinheiro de. “Multi-modal sensor calibration on board the ATLASCAR2
.” 2019. Web. 08 Mar 2021.
Vancouver:
Castro AdJCPd. Multi-modal sensor calibration on board the ATLASCAR2
. [Internet] [Thesis]. Universidade de Aveiro; 2019. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10773/29127.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Castro AdJCPd. Multi-modal sensor calibration on board the ATLASCAR2
. [Thesis]. Universidade de Aveiro; 2019. Available from: http://hdl.handle.net/10773/29127
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
IUPUI
12.
Huang, Zhi.
Vehicle sensor-based pedestrian position identification in V2V environment.
Degree: 2016, IUPUI
URL: http://hdl.handle.net/1805/11825
► Indiana University-Purdue University Indianapolis (IUPUI)
This thesis presents a method to accurately determine the location and amount of pedestrians detected by different vehicles equipped with…
(more)
▼ Indiana University-Purdue University Indianapolis (IUPUI)
This thesis presents a method to accurately determine the location and amount of pedestrians detected by different vehicles equipped with a Pedestrian Autonomous Emergency Braking (PAEB) system, taking into consideration the inherent inaccuracy of the pedestrian sensing from these vehicles. In the thesis, a mathematical model of the pedestrian information generated by the PAEB system in the V2V network is developed. The Greedy-Medoids clustering algorithm and constrained hierarchical clustering are applied to recognize and reconstruct actual pedestrians, which enables a subject vehicle to approximate the number of the pedestrians and their estimated locations from a larger number of pedestrian alert messages received from many nearby vehicles through the V2V network and the subject vehicle itself. The proposed methods determines the possible number of actual pedestrians by grouping the nearby pedestrians information broadcasted by different vehicles and considers them as one pedestrian. Computer simulations illustrate the effectiveness and applicability of the proposed methods. The results are more integrated and accurate information for vehicle Autonomous Emergency Braking (AEB) systems to make better decisions earlier to avoid crashing into pedestrians.
Advisors/Committee Members: Chien, Stanley, Chen, Yaobin, Christopher, Lauren.
Subjects/Keywords: Clustering methods; Greedy algorithms; Intelligent vehicles; Mathematical model; Vehicle detection
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Manager
APA (6th Edition):
Huang, Z. (2016). Vehicle sensor-based pedestrian position identification in V2V environment. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/11825
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Huang, Zhi. “Vehicle sensor-based pedestrian position identification in V2V environment.” 2016. Thesis, IUPUI. Accessed March 08, 2021.
http://hdl.handle.net/1805/11825.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Huang, Zhi. “Vehicle sensor-based pedestrian position identification in V2V environment.” 2016. Web. 08 Mar 2021.
Vancouver:
Huang Z. Vehicle sensor-based pedestrian position identification in V2V environment. [Internet] [Thesis]. IUPUI; 2016. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1805/11825.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Huang Z. Vehicle sensor-based pedestrian position identification in V2V environment. [Thesis]. IUPUI; 2016. Available from: http://hdl.handle.net/1805/11825
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Delft University of Technology
13.
Wang, Ziqi (author).
Depth-aware Instance Segmentation with a Discriminative Loss Function.
Degree: 2018, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:02bd3582-3304-4595-baa6-c6fcca755418
► This work explores the possibility of incorporating depth information into a deep neural network to improve accuracy of RGB instance segmentation. The baseline of this…
(more)
▼ This work explores the possibility of incorporating depth information into a deep neural network to improve accuracy of RGB instance segmentation. The baseline of this work is semantic instance segmentation with discriminative loss function.The baseline work proposes a novel discriminative loss function with which the semantic net-work can learn a n-D embedding for all pixels belonging to instances. Embeddings of the same instances are attracted to their own centers while centers of different instance embeddings repulse each other. Two limitations are set for attraction and repulsion, namely the in-margin and out-margin. A post-processing procedure (clustering) is required to infer instance indices from embeddings with an important parameter bandwidth, the threshold for clustering. The contribution of the work in this thesis are several new methods to incorporate depth information into the baseline work. One simple method is adding scaled depth directly to RGB embeddings, which is named as scaling. Through theorizing and experiments, this work also proposes that depth pixels can be encoded into 1-D embeddings with the same discriminative loss function and combined with RGB embeddings. Explored combination methods are fusion and concatenation. Additionally, two depth pre-processing methods are proposed, replication and coloring. From the experimental result, both scaling and fusion lead to significant improvements over baseline work while concatenation contributes more to classes with lots of similarities.
Cognitive Robotics Lab
Advisors/Committee Members: Pool, Ewoud (mentor), Kooij, Julian (mentor), Gavrila, Dariu (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: Deep Learning; Computer Vision; instance segmentation; Intelligent Vehicles
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to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Wang, Z. (. (2018). Depth-aware Instance Segmentation with a Discriminative Loss Function. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:02bd3582-3304-4595-baa6-c6fcca755418
Chicago Manual of Style (16th Edition):
Wang, Ziqi (author). “Depth-aware Instance Segmentation with a Discriminative Loss Function.” 2018. Masters Thesis, Delft University of Technology. Accessed March 08, 2021.
http://resolver.tudelft.nl/uuid:02bd3582-3304-4595-baa6-c6fcca755418.
MLA Handbook (7th Edition):
Wang, Ziqi (author). “Depth-aware Instance Segmentation with a Discriminative Loss Function.” 2018. Web. 08 Mar 2021.
Vancouver:
Wang Z(. Depth-aware Instance Segmentation with a Discriminative Loss Function. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Mar 08].
Available from: http://resolver.tudelft.nl/uuid:02bd3582-3304-4595-baa6-c6fcca755418.
Council of Science Editors:
Wang Z(. Depth-aware Instance Segmentation with a Discriminative Loss Function. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:02bd3582-3304-4595-baa6-c6fcca755418
Delft University of Technology
14.
Wymenga, Jan (author).
Weather Condition Estimation in Automated Vehicles.
Degree: 2018, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:421b3c6d-b85e-4876-a963-4094b35dea94
► This work presents a multi-sensor approach for weather condition estimation in automated vehicles. Using combined data from weather sensors (barometer, hygrometer, etc) and an in-vehicle…
(more)
▼ This work presents a multi-sensor approach for weather condition estimation in automated vehicles. Using combined data from weather sensors (barometer, hygrometer, etc) and an in-vehicle camera, a machine learning and computer vision framework is employed to estimate the current weather condition in realtime and in-vehicle. The use of different sensor types is shown to improve robustness and reduce noise. The resulting modular framework allows it to be used with different sensor configurations, and allows changes in sensor configuration with minimal effort. Finally, a proof-of-concept experiment is presented; a dataset is recorded using a test vehicle and used for model evaluation. The resulting datasets contains 20.000 pairs of video frames and sensor measurements recorded in different weather situations.
ME-BMD-BR
Advisors/Committee Members: Domhof, Joris (mentor), Gavrila, Dariu (graduation committee), Kooij, Julian (graduation committee), Kober, Jens (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: weather types; machine learning; intelligent vehicles; vision; driving; weather
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APA (6th Edition):
Wymenga, J. (. (2018). Weather Condition Estimation in Automated Vehicles. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:421b3c6d-b85e-4876-a963-4094b35dea94
Chicago Manual of Style (16th Edition):
Wymenga, Jan (author). “Weather Condition Estimation in Automated Vehicles.” 2018. Masters Thesis, Delft University of Technology. Accessed March 08, 2021.
http://resolver.tudelft.nl/uuid:421b3c6d-b85e-4876-a963-4094b35dea94.
MLA Handbook (7th Edition):
Wymenga, Jan (author). “Weather Condition Estimation in Automated Vehicles.” 2018. Web. 08 Mar 2021.
Vancouver:
Wymenga J(. Weather Condition Estimation in Automated Vehicles. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Mar 08].
Available from: http://resolver.tudelft.nl/uuid:421b3c6d-b85e-4876-a963-4094b35dea94.
Council of Science Editors:
Wymenga J(. Weather Condition Estimation in Automated Vehicles. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:421b3c6d-b85e-4876-a963-4094b35dea94
Delft University of Technology
15.
Willems, Rick (author).
Longitudinal Behavior Planning with Maneuver Prediction for Urban Driving.
Degree: 2018, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:57f9a5f4-0608-42ca-b956-346afe5e4b7d
► One of the remaining challenges in the development of intelligent vehicles is the topic of behavior planning in urban scenarios. Based on perception of the…
(more)
▼ One of the remaining challenges in the development of
intelligent vehicles is the topic of behavior planning in urban scenarios. Based on perception of the environment around the
intelligent vehicle, driving behavior has to be optimized to achieve a comfortable driving experience without sacrificing safety. This work covers the development of a novel longitudinal behavior planning method for an
intelligent passenger vehicle in urban scenarios. A multi-layer situation analysis architecture consisting of localization, maneuver prediction and trajectory prediction is used to predict traffic object trajectories on urban intersections and roundabouts. A universal model predictive controller is developed to determine the optimal longitudinal acceleration behavior of the
intelligent vehicle online in a variety of urban scenarios, based on the predicted trajectories. Real-time simulations show that the behavior planning method is able to maintain safe driving conditions with reasonable comfort during scenarios with varying traffic maneuvers.
Advisors/Committee Members: Alonso Mora, Javier (mentor), Happee, Riender (graduation committee), Jonker, Pieter (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: Behavior Planning; Decision Making; Model Predictive Control; Intelligent Vehicles; Autonomous driving
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Manager
APA (6th Edition):
Willems, R. (. (2018). Longitudinal Behavior Planning with Maneuver Prediction for Urban Driving. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:57f9a5f4-0608-42ca-b956-346afe5e4b7d
Chicago Manual of Style (16th Edition):
Willems, Rick (author). “Longitudinal Behavior Planning with Maneuver Prediction for Urban Driving.” 2018. Masters Thesis, Delft University of Technology. Accessed March 08, 2021.
http://resolver.tudelft.nl/uuid:57f9a5f4-0608-42ca-b956-346afe5e4b7d.
MLA Handbook (7th Edition):
Willems, Rick (author). “Longitudinal Behavior Planning with Maneuver Prediction for Urban Driving.” 2018. Web. 08 Mar 2021.
Vancouver:
Willems R(. Longitudinal Behavior Planning with Maneuver Prediction for Urban Driving. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Mar 08].
Available from: http://resolver.tudelft.nl/uuid:57f9a5f4-0608-42ca-b956-346afe5e4b7d.
Council of Science Editors:
Willems R(. Longitudinal Behavior Planning with Maneuver Prediction for Urban Driving. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:57f9a5f4-0608-42ca-b956-346afe5e4b7d
Arizona State University
16.
Campbell, Joseph.
Traffic Light Status Detection Using Movement Patterns of
Vehicles.
Degree: Computer Science, 2016, Arizona State University
URL: http://repository.asu.edu/items/40319
► Traditional methods for detecting the status of traffic lights used in autonomous vehicles may be susceptible to errors, which is troublesome in a safety-critical environment.…
(more)
▼ Traditional methods for detecting the status of
traffic lights used in autonomous vehicles may be susceptible to
errors, which is troublesome in a safety-critical environment. In
the case of vision-based recognition methods, failures may arise
due to disturbances in the environment such as occluded views or
poor lighting conditions. Some methods also depend on
high-precision meta-data which is not always available. This thesis
proposes a complementary detection approach based on an entirely
new source of information: the movement patterns of other nearby
vehicles. This approach is robust to traditional sources of error,
and may serve as a viable supplemental detection method. Several
different classification models are presented for inferring traffic
light status based on these patterns. Their performance is
evaluated over real-world and simulation data sets, resulting in up
to 97% accuracy in each set.
Subjects/Keywords: Computer science; Computer engineering; Intelligent vehicles; Perception; Situation awareness
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APA (6th Edition):
Campbell, J. (2016). Traffic Light Status Detection Using Movement Patterns of
Vehicles. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/40319
Chicago Manual of Style (16th Edition):
Campbell, Joseph. “Traffic Light Status Detection Using Movement Patterns of
Vehicles.” 2016. Masters Thesis, Arizona State University. Accessed March 08, 2021.
http://repository.asu.edu/items/40319.
MLA Handbook (7th Edition):
Campbell, Joseph. “Traffic Light Status Detection Using Movement Patterns of
Vehicles.” 2016. Web. 08 Mar 2021.
Vancouver:
Campbell J. Traffic Light Status Detection Using Movement Patterns of
Vehicles. [Internet] [Masters thesis]. Arizona State University; 2016. [cited 2021 Mar 08].
Available from: http://repository.asu.edu/items/40319.
Council of Science Editors:
Campbell J. Traffic Light Status Detection Using Movement Patterns of
Vehicles. [Masters Thesis]. Arizona State University; 2016. Available from: http://repository.asu.edu/items/40319
University of Windsor
17.
Douglas, Ian J.
Improving GPS Global Navigation Accuracy for Connected Vehicles in an Urban Canyon.
Degree: MS, Computer Science, 2016, University of Windsor
URL: https://scholar.uwindsor.ca/etd/5815
► Connected Vehicles are expected to provide a major improvement in road safety. By broadcasting Basic Safety Messages (BSM) using Dedicated Short Range Communications (DSRC) all…
(more)
▼ Connected
Vehicles are expected to provide a major improvement in road safety. By broadcasting Basic Safety Messages (BSM) using Dedicated Short Range Communications (DSRC) all connected
vehicles will have situational awareness of other connected
vehicles in the area near them, and capability to provide ample warning of impending collisions. These systems rely on highly accurate GPS location data. GPS by design expects a clear line of sight (LoS) to four or more satellites for accuracy. City roads are often surrounded by buildings. These structures create areas isolated from sky views.
Intelligent Transportation System (ITS) researchers have called these areas “urban canyons”. Buildings may block and/or bounce satellite signals, which can cause receivers to ‘see’ these signals either directly, indirectly, or both direct and indirect signals at the same time—which is the so-called multipath problem. Driving test results have been published which demonstrate the challenge. ITS researchers have noticed that position data taken by on-board units (OBU’s) contain these anomalies. When analyzed, these plots show
vehicles as if they were driving through buildings. This is not helpful in preventing collisions. I will show that there is a data based approach to identify when Global Navigational Satellite System (GNSS) receivers are identifying impossible position results. I will also show a method using other available CAN bus data to interpolate expected geographic location and eliminate sending erroneous position reports.
Advisors/Committee Members: Jaekel, Arunita.
Subjects/Keywords: Connected Vehicles; DSRC; GNSS; GPS; Intelligent Transportation System; Urban Canyon
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Manager
APA (6th Edition):
Douglas, I. J. (2016). Improving GPS Global Navigation Accuracy for Connected Vehicles in an Urban Canyon. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/5815
Chicago Manual of Style (16th Edition):
Douglas, Ian J. “Improving GPS Global Navigation Accuracy for Connected Vehicles in an Urban Canyon.” 2016. Masters Thesis, University of Windsor. Accessed March 08, 2021.
https://scholar.uwindsor.ca/etd/5815.
MLA Handbook (7th Edition):
Douglas, Ian J. “Improving GPS Global Navigation Accuracy for Connected Vehicles in an Urban Canyon.” 2016. Web. 08 Mar 2021.
Vancouver:
Douglas IJ. Improving GPS Global Navigation Accuracy for Connected Vehicles in an Urban Canyon. [Internet] [Masters thesis]. University of Windsor; 2016. [cited 2021 Mar 08].
Available from: https://scholar.uwindsor.ca/etd/5815.
Council of Science Editors:
Douglas IJ. Improving GPS Global Navigation Accuracy for Connected Vehicles in an Urban Canyon. [Masters Thesis]. University of Windsor; 2016. Available from: https://scholar.uwindsor.ca/etd/5815
University of New South Wales
18.
Le, Tung Mai.
An adaptive signal-vehicle cooperative control system.
Degree: Computer Science & Engineering, 2013, University of New South Wales
URL: http://handle.unsw.edu.au/1959.4/52967
;
https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11645/SOURCE01?view=true
► In this thesis, we propose a fully cooperative control scheme that produces both effective traffic schedules for the traffic lights and suitable speeds for oncoming…
(more)
▼ In this thesis, we propose a fully cooperative control scheme that produces both effective traffic schedules for the traffic lights and suitable speeds for oncoming
vehicles to get through intersections during green-light time. The ultimate goal is to reduce substantially the delay, fuel consumption and carbon dioxide emission. The proposed system is shown to have achieved this goal, compared to a base-line system.More specifically, the controller optimizes traffic signals of a single intersection online. The mathematical model used to solve the problem of scheduling is a Markov Decision Process, and the solution is found by Approximate Dynamic Programming. The controller employs a simulation-based method to compute suitable speeds for
vehicles to get through intersections during green lights. The speeds are broadcast to
vehicles via telematics (technologies that allow communications between
vehicles and infrastructure). The controller is implemented and evaluated in a microscopic simulation environment. A fixed-time controller is built from schedules produced by the TRAffic Network StudY Tool (TRANSYT) software. The fixed-time controller is used as the bench-mark system. The proposed system saves a maximum of 36 percent delay, more than 11 percent fuel consumption, and more than 12 percent carbon dioxide emission, compared to the base-line system.
Advisors/Committee Members: Walsh, Toby, Computer Science & Engineering, Faculty of Engineering, UNSW, Maher, Michael, NICTA, Pagnucco, Maurice, Computer Science & Engineering, Faculty of Engineering, UNSW.
Subjects/Keywords: Signal-vehicle communication; Approximate dynamic programming; Adaptive traffic control; Intelligent vehicles
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APA (6th Edition):
Le, T. M. (2013). An adaptive signal-vehicle cooperative control system. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/52967 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11645/SOURCE01?view=true
Chicago Manual of Style (16th Edition):
Le, Tung Mai. “An adaptive signal-vehicle cooperative control system.” 2013. Doctoral Dissertation, University of New South Wales. Accessed March 08, 2021.
http://handle.unsw.edu.au/1959.4/52967 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11645/SOURCE01?view=true.
MLA Handbook (7th Edition):
Le, Tung Mai. “An adaptive signal-vehicle cooperative control system.” 2013. Web. 08 Mar 2021.
Vancouver:
Le TM. An adaptive signal-vehicle cooperative control system. [Internet] [Doctoral dissertation]. University of New South Wales; 2013. [cited 2021 Mar 08].
Available from: http://handle.unsw.edu.au/1959.4/52967 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11645/SOURCE01?view=true.
Council of Science Editors:
Le TM. An adaptive signal-vehicle cooperative control system. [Doctoral Dissertation]. University of New South Wales; 2013. Available from: http://handle.unsw.edu.au/1959.4/52967 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11645/SOURCE01?view=true
Delft University of Technology
19.
Ruysch, Iris (author).
Paving the way for autonomous cars: Current projects and challenges in the Netherlands.
Degree: 2019, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:fd77349a-2f9b-467f-8b97-ed4598dea4d4
► Currently, cities are in the midst of a transportation transition, namely, from human-driven to driverless vehicles. Because of the rapid development of technology, many…
(more)
▼ Currently, cities are in the midst of a transportation transition, namely, from human-driven to driverless vehicles. Because of the rapid development of technology, many systems are being automated or even becoming autonomous. Autonomous means that the system is able to perform each task automatically without any human intervention. Much research has been conducted to find answers to the way autonomous vehicles might impact cities. However, the results of this research are limited in practical application, because the integration of autonomous systems is still in an early stage and there have not been many integration projects in the world yet. In the Netherlands, more and more pilot projects are being established to explore the impact and applicability of driverless vehicles. As such, this exploratory study analyses how autonomous vehicles have been integrated during the autonomous vehicle transition in the Netherlands. Alongside qualitative research methods including desk research and semi-structured interviews, an analysis framework is designed and used as a means to measure the technical, social, environmental, and regulatory challenges represented in five case studies. The results show that the main challenges are, among others, road obstacles, intersections, weather implications, communication between the shuttle and other traffic flows, communication between the project team and the inhabitants of the area, and restrictions from the Dutch Vehicle Authority. Challenges such as weather implications, road obstacles, and intersections occur in each project. Looking at the current technological developments, there are autonomous vehicles that can pass intersections and obstacles already. The inability to deal with these challenges could be explained by the high costs of the technology.
Architecture, Urbanism and Building Sciences | Management in the Built Environment
Advisors/Committee Members: Ersoy, Aksel (mentor), Espinosa Oviedo, Javier (mentor), Coumans, Geert (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: Autonomous cars; Artificial Intelligence; Connected Vehicles; Intelligent Transport Systems
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APA (6th Edition):
Ruysch, I. (. (2019). Paving the way for autonomous cars: Current projects and challenges in the Netherlands. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:fd77349a-2f9b-467f-8b97-ed4598dea4d4
Chicago Manual of Style (16th Edition):
Ruysch, Iris (author). “Paving the way for autonomous cars: Current projects and challenges in the Netherlands.” 2019. Masters Thesis, Delft University of Technology. Accessed March 08, 2021.
http://resolver.tudelft.nl/uuid:fd77349a-2f9b-467f-8b97-ed4598dea4d4.
MLA Handbook (7th Edition):
Ruysch, Iris (author). “Paving the way for autonomous cars: Current projects and challenges in the Netherlands.” 2019. Web. 08 Mar 2021.
Vancouver:
Ruysch I(. Paving the way for autonomous cars: Current projects and challenges in the Netherlands. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Mar 08].
Available from: http://resolver.tudelft.nl/uuid:fd77349a-2f9b-467f-8b97-ed4598dea4d4.
Council of Science Editors:
Ruysch I(. Paving the way for autonomous cars: Current projects and challenges in the Netherlands. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:fd77349a-2f9b-467f-8b97-ed4598dea4d4
Drexel University
20.
Patel, Ankit Rajendra.
Health and Usage Monitoring: Autonomous Vehicles.
Degree: 2017, Drexel University
URL: http://hdl.handle.net/1860/idea:7320
► This thesis presents a work in progress related to the use of Health and Usage Monitoring Systems (HUMS) data to actuate an adaptive control system…
(more)
▼ This thesis presents a work in progress related to the use of Health and Usage Monitoring Systems (HUMS) data to actuate an adaptive control system on an autonomous vehicle operating in an Intelligent Transportation Systems (ITS). The autonomous passenger vehicle has rapidly matured from a speculative concept to a reality that is quickly appearing within our sightlines. Autonomous (also called self-driving, driverless, or robotic) vehicles have long been predicted in science fiction and discussed in popular science media. Recently, major corporations have announced plans to begin selling such vehicles in the near future, and some jurisdictions have passed legislation to allow such vehicles to operate legally on public roads. Autonomous vehicles will be performing intelligent functions (navigation, maneuver, behavior, or task) by perceiving the environment and implementing a responsive action based on HUMS input. Once these vehicles begin to operate on public roads as a norm, safety and reliability becomes a major factor. The implementation or expanded use of HUMS can perceivably render these systems reliable and safe to operate in any environment or mode. This thesis also depicts a notational framework for HUMS in autonomous vehicles operating on ITS networks and future research needed to make this a reality. Keywords: Health and Usage Monitoring System (HUMS), Reliability, Adaptive Systems, Prognostics, Autonomous Vehicle, Intelligent Transportation System
M.S., Mechanical Engineering and Mechanics – Drexel University, 2017
Advisors/Committee Members: Lacontora, John, College of Engineering.
Subjects/Keywords: Mechanical engineering; Autonomous vehicles; Intelligent transportation systems – Research
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APA (6th Edition):
Patel, A. R. (2017). Health and Usage Monitoring: Autonomous Vehicles. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/idea:7320
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Patel, Ankit Rajendra. “Health and Usage Monitoring: Autonomous Vehicles.” 2017. Thesis, Drexel University. Accessed March 08, 2021.
http://hdl.handle.net/1860/idea:7320.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Patel, Ankit Rajendra. “Health and Usage Monitoring: Autonomous Vehicles.” 2017. Web. 08 Mar 2021.
Vancouver:
Patel AR. Health and Usage Monitoring: Autonomous Vehicles. [Internet] [Thesis]. Drexel University; 2017. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1860/idea:7320.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Patel AR. Health and Usage Monitoring: Autonomous Vehicles. [Thesis]. Drexel University; 2017. Available from: http://hdl.handle.net/1860/idea:7320
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Delft University of Technology
21.
Mattar, Avinash (author).
Acoustic Perception in Intelligent Vehicles using a single microphone system.
Degree: 2020, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:054d38f7-8fe7-447c-b9fc-9d13437fcef5
► Passive acoustic sensing utilizes the ability of sound to travel beyond the line-of-sight to understand the surroundings. This provides an advantage over the currently used…
(more)
▼ Passive acoustic sensing utilizes the ability of sound to travel beyond the line-of-sight to understand the surroundings. This provides an advantage over the currently used sensors in Intelligent Vehicles that can sense obstacles within their line-of-sight only. Recently, a localization based approach has been implemented to take advantage of this sensing modality to predict approaching vehicles behind the blind corner in an urban scenario. While this approach shows a lot of promise, there is a difficulty in integrating the multi-microphone system. Additionally, the system would be unable to differentiate between the nature of two sound sources. This motivates the exploration of a classification based approach which uses audio data from only a single microphone to identify the sound sources present in them. This thesis investigates the possibility of having such a system on the Intelligent Vehicle to predict approaching vehicles from behind the blind corners. A review of the literature revealed that techniques categorized under Sound Event Detection (SED) are suitable to implement a classification based approach. The prediction of the vehicle is treated as a binary classification problem and a Convolutional Recurrent Neural Network (CRNN) is used as the acoustic model to detect the presence of an approaching car in the audio sample represented by Log Mel Spectrogram features. Additionally, domain adaptation techniques were implemented to explore the possibility of improving the system performance with limited data collected while the ego-vehicle is driving. Experiments carried out indicate that when the ego-vehicle is static, the system performs well with the approaching vehicle predicted 1.4s before it is in line-of-sight and a balanced accuracy of 86.9% achieved for the classification task. However, the system achieved an accuracy of 68% on the samples recorded while the ego-vehicle was driving. Further experiments indicate that the acoustic model cannot generalize well to unseen situations in most cases and experiment with domain adaptation did not show any improvement in performance.
Mechanical Engineering | Vehicle Engineering
Advisors/Committee Members: Kooij, J.F.P. (mentor), Hehn, T.M. (mentor), Gavrila, D. (graduation committee), de Croon, G.C.H.E. (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: Acoustic Perception; Intelligent Vehicles; Sound Event Detection; Deep Learning; Domain Adaptation
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APA ·
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Export
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Manager
APA (6th Edition):
Mattar, A. (. (2020). Acoustic Perception in Intelligent Vehicles using a single microphone system. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:054d38f7-8fe7-447c-b9fc-9d13437fcef5
Chicago Manual of Style (16th Edition):
Mattar, Avinash (author). “Acoustic Perception in Intelligent Vehicles using a single microphone system.” 2020. Masters Thesis, Delft University of Technology. Accessed March 08, 2021.
http://resolver.tudelft.nl/uuid:054d38f7-8fe7-447c-b9fc-9d13437fcef5.
MLA Handbook (7th Edition):
Mattar, Avinash (author). “Acoustic Perception in Intelligent Vehicles using a single microphone system.” 2020. Web. 08 Mar 2021.
Vancouver:
Mattar A(. Acoustic Perception in Intelligent Vehicles using a single microphone system. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Mar 08].
Available from: http://resolver.tudelft.nl/uuid:054d38f7-8fe7-447c-b9fc-9d13437fcef5.
Council of Science Editors:
Mattar A(. Acoustic Perception in Intelligent Vehicles using a single microphone system. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:054d38f7-8fe7-447c-b9fc-9d13437fcef5
Loughborough University
22.
Yi, Dewei.
Personalised driving status recognition and monitoring.
Degree: PhD, 2018, Loughborough University
URL: http://hdl.handle.net/2134/36149
► A number of advanced driver assistance systems have recently been developed and implemented to improve road safety and driving experience. However, most of them are…
(more)
▼ A number of advanced driver assistance systems have recently been developed and implemented to improve road safety and driving experience. However, most of them are designed based on generic driver behaviours, where driving characteristics and preferences of a specific driver are neglected. Therefore, it is not surprising that conventional driving status recognition systems may lead to degraded performance for a particular driver. To this end, driving status recognition systems should be personalised to enhance system performance. This thesis aims to develop driving status recognition systems of high accuracy in order to ensure driving safety.
Subjects/Keywords: Personalisation; Driving status recognition; Intelligent vehicles; Driver assistance systems
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APA (6th Edition):
Yi, D. (2018). Personalised driving status recognition and monitoring. (Doctoral Dissertation). Loughborough University. Retrieved from http://hdl.handle.net/2134/36149
Chicago Manual of Style (16th Edition):
Yi, Dewei. “Personalised driving status recognition and monitoring.” 2018. Doctoral Dissertation, Loughborough University. Accessed March 08, 2021.
http://hdl.handle.net/2134/36149.
MLA Handbook (7th Edition):
Yi, Dewei. “Personalised driving status recognition and monitoring.” 2018. Web. 08 Mar 2021.
Vancouver:
Yi D. Personalised driving status recognition and monitoring. [Internet] [Doctoral dissertation]. Loughborough University; 2018. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/2134/36149.
Council of Science Editors:
Yi D. Personalised driving status recognition and monitoring. [Doctoral Dissertation]. Loughborough University; 2018. Available from: http://hdl.handle.net/2134/36149
23.
Gu, Yingqi.
Collaborative and Context-Aware Applications for Intelligent and Green Transportation.
Degree: 2019, RIAN
URL: http://hdl.handle.net/10197/9600
► In this thesis, we present several context-aware and collaborative applications of electric and plug-in hybrid vehicles in the context of intelligent transportation systems, with a…
(more)
▼ In this thesis, we present several context-aware and collaborative applications of electric and plug-in hybrid vehicles in the context of intelligent transportation systems, with a main focus on the design of control and optimisation algorithms to maximise the performance of such vehicles in different practical scenarios. This gives rise to four topics to be discussed in the thesis. The first topic focuses on the design of speed advisory systems for different road users. In Chapter 3, we present a framework for minimising the energy consumptions for a group of electric vehicles in a distributed manner. Using this framework, we extend the ideas of this design to the case of cyclists, where now we maximise the overall health benefits for a group of cyclists sharing a common route. In both cases, we apply a recently derived consensus mathematical result for solving both convex and quasi-convex optimisation problems with consensus constraints. The efficacy of our proposed algorithm is verified through many simulation studies. The second topic is concerned with a new design of the energy management system for plug-in hybrid electric vehicles (PHEVs) by taking into account the availability of the upcoming renewable energy generation. In Chapter 4, we introduce distributed algorithms for PHEVs to switch on/off their electric motors such that some utility functions can be maximised while achieving a demand and supply balance for power grids when vehicles travel back for recharging. This idea is then extended for the case of plug-in hybrid electric buses (PHEBs) in Chapter 5, focusing on maximising the environmental benefits of buses with some energy constraints to be satisfied. The third topic introduces a novel context-aware engine management system for PHEVs to optimally orchestrate switching between different operational modes so that the environmental benefits on pedestrians can be reached to a maximum. In Chapter 6, we present details of our design for such a system taking account of many factors in practice. We implement the proposed system in a hardware-in-the-loop platform, embedded with a real PHEV, to illustrate the efficacy of our proposed approach. The last topic investigates the ability of simple macroscopic information to identify changes in nominal urban traffic flows. In Chapter 7, we focus on using junction turning probabilities to infer the occurrence of anomalies in traffic patterns. Finally, several simulation studies are conducted in a popular mobility simulator to demonstrate the capabilities of our proposed method.
Subjects/Keywords: Distributed Control; Intelligent Optimisation Algorithms; Electric Vehicles; Smart Transportation; 0|aElectric vehicles|xDesign and construction.; #0|aHybrid electric vehicles.; #0|aPlug-in electric vehicles.
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APA ·
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Manager
APA (6th Edition):
Gu, Y. (2019). Collaborative and Context-Aware Applications for Intelligent and Green Transportation. (Thesis). RIAN. Retrieved from http://hdl.handle.net/10197/9600
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Gu, Yingqi. “Collaborative and Context-Aware Applications for Intelligent and Green Transportation.” 2019. Thesis, RIAN. Accessed March 08, 2021.
http://hdl.handle.net/10197/9600.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Gu, Yingqi. “Collaborative and Context-Aware Applications for Intelligent and Green Transportation.” 2019. Web. 08 Mar 2021.
Vancouver:
Gu Y. Collaborative and Context-Aware Applications for Intelligent and Green Transportation. [Internet] [Thesis]. RIAN; 2019. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10197/9600.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Gu Y. Collaborative and Context-Aware Applications for Intelligent and Green Transportation. [Thesis]. RIAN; 2019. Available from: http://hdl.handle.net/10197/9600
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
24.
González Bautista, David.
Architecture fonctionnelle pour la planification des trajectoires des véhicules automatisés dans des environnements complexes : Functional architecture for automated vehicles trajectory planning in complex environments.
Degree: Docteur es, Informatique temps réel, robotique et automatique, 2017, Paris Sciences et Lettres (ComUE)
URL: http://www.theses.fr/2017PSLEM002
► Un des buts de la recherche et du développement des systèmes de transport intelligents est d'augmenter le confort et la sécurité des passagers, tout en…
(more)
▼ Un des buts de la recherche et du développement des systèmes de transport intelligents est d'augmenter le confort et la sécurité des passagers, tout en réduisant la consommation d'énergie, la pollution de l'air et le temps de déplacement. L'introduction de voitures complètement autonomes sur la voie publique nécessite la résolution d'un certain nombre de problèmes techniques et en particulier de disposer de modules de planification de trajectoire robustes. Ce travail de thèse s'inscrit dans ce cadre. Il propose une architecture modulaire pour la planification de trajectoire d'un véhicule autonome. La méthode permet de générer des trajectoires constituées de courbes interpolées adaptées à des environnements complexes comme des virages, des ronds-points, etc., tout en garantissant la sécurité et le confort des passagers. La prise en compte de l'incertitude des systèmes de perception, des limites physiques du véhicule, de la disposition des routes et des règles de circulation est aussi assurée dans le calcul de la trajectoire. L'algorithme est capable de modifier en temps réel la trajectoire prédéfinie de façon à éviter les collisions. Le calcul de la nouvelle trajectoire maintient les accélérations latérales à leur minimum, assurant ainsi le confort du passager. L'approche proposée a été évaluée et validée dans des environnements simulés et sur des véhicules réels. Cette méthode permet d'éviter les obstacles statiques et dynamiques repérés par le système de perception.Un système d'aide à la conduite pour le contrôle partagé basé sur cette architecture est introduit. Il prend en compte l'arbitrage, la surveillance et le partage de la conduite tout en maintenant le conducteur dans la boucle de contrôle. Il laisse le conducteur agir tant qu'il n'y a pas de danger et interagit avec le conducteur dans le cas contraire. L'algorithme se décompose donc en deux processus : 1) évaluation du risque et, s'il y a un risque avéré 2) partage du contrôle à l'aide de signaux haptiques via le volant.La méthode de planification de trajectoire présentée dans cette thèse est modulaire et générique. Elle peut être intégrée facilement dans toute architecture d'un véhicule autonome.
Developments in the Intelligent Transportation Systems (ITS) field show promising results at increasing passengers comfort and safety, while decreasing energy consumption, emissions and travel time. In road transportation, the appearance of automated vehicles is significantly aiding drivers by reducing some driving-associated tedious tasks. However, there is still a long way to go before making the transition between automated vehicles (i.e. vehicles with some automated features) and autonomous vehicles on public roads (i.e. fully autonomous driving), specially from the motion planning point of view. With this in mind, the present PhD thesis proposes the design of a generic modular architecture for automated vehicles motion planning. It implements and improves curve interpolation techniques in the motion planning literature by including comfort as the main…
Advisors/Committee Members: Nashashibi, Fawzi (thesis director).
Subjects/Keywords: Contrôle Partagé; Planification de trajectoires; Véhicules Autonomes; Systèmes Intelligent de Transport; Shared Control; Trajectory Planning; Autonomous Vehicles; Intelligent Transportation Systems; 629.2
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APA (6th Edition):
González Bautista, D. (2017). Architecture fonctionnelle pour la planification des trajectoires des véhicules automatisés dans des environnements complexes : Functional architecture for automated vehicles trajectory planning in complex environments. (Doctoral Dissertation). Paris Sciences et Lettres (ComUE). Retrieved from http://www.theses.fr/2017PSLEM002
Chicago Manual of Style (16th Edition):
González Bautista, David. “Architecture fonctionnelle pour la planification des trajectoires des véhicules automatisés dans des environnements complexes : Functional architecture for automated vehicles trajectory planning in complex environments.” 2017. Doctoral Dissertation, Paris Sciences et Lettres (ComUE). Accessed March 08, 2021.
http://www.theses.fr/2017PSLEM002.
MLA Handbook (7th Edition):
González Bautista, David. “Architecture fonctionnelle pour la planification des trajectoires des véhicules automatisés dans des environnements complexes : Functional architecture for automated vehicles trajectory planning in complex environments.” 2017. Web. 08 Mar 2021.
Vancouver:
González Bautista D. Architecture fonctionnelle pour la planification des trajectoires des véhicules automatisés dans des environnements complexes : Functional architecture for automated vehicles trajectory planning in complex environments. [Internet] [Doctoral dissertation]. Paris Sciences et Lettres (ComUE); 2017. [cited 2021 Mar 08].
Available from: http://www.theses.fr/2017PSLEM002.
Council of Science Editors:
González Bautista D. Architecture fonctionnelle pour la planification des trajectoires des véhicules automatisés dans des environnements complexes : Functional architecture for automated vehicles trajectory planning in complex environments. [Doctoral Dissertation]. Paris Sciences et Lettres (ComUE); 2017. Available from: http://www.theses.fr/2017PSLEM002
University of Technology, Sydney
25.
Kulatunga, AK.
Task allocation and motion coordination of multiple autonomous vehicles - with application in automated container terminals.
Degree: 2013, University of Technology, Sydney
URL: http://hdl.handle.net/10453/23544
► This thesis focuses on developing an approach to solve the complex problem of task allocation and motion coordination simultaneously for a large fleet of autonomous…
(more)
▼ This thesis focuses on developing an approach to solve the complex problem of task allocation and motion coordination simultaneously for a large fleet of autonomous vehicles in highly constrained operational environments. The multi-vehicle task allocation and motion coordination problem consists of allocating different tasks to different autonomous vehicles and intelligently coordinating motions of the vehicles without human interaction. The motion coordination itself comprises two sub-problems: path planning and collision / deadlock avoidance. Although a number of research studies have attempted to solve one or two aspects of this problem, it is rare to note that many have attempted to solve the task allocation, path planning and collision avoidance simultaneously. Therefore, it cannot be conclusively said that, optimal or near-optimal solutions generated based on one aspect of the problem will be optimal or near optimal results for the whole problem. It is advisable to solve the problem as one complete problem rather than decomposing it. This thesis intends to solve the complex task allocation, path planning and collision avoidance problem simultaneously.
A Simultaneous Task Allocation and Motion Coordination (STAMC) approach is developed to solve the multi-vehicle task allocation and motion coordination problem in a concurrent manner. Further, a novel algorithm called Simultaneous Path and Motion Planning (SiPaMoP) is proposed for collision free motion coordination. The main objective of this algorithm is to generate collision free paths for autonomous vehicles, once they are assigned with tasks in a conventional path topology of a material handling environment. The Dijkstra and A * shortest path search algorithms are utilised in the proposed Simultaneous Path and Motion Planning algorithm.
The multi-vehicle task allocation and motion coordination problem is first studied in a static environment where all the tasks, vehicles and operating environment information are assumed to be known. The multi-vehicle task allocation and motion coordination problem in a dynamic environment, where tasks, vehicles and operating environment change with time is then investigated. Furthermore, issues like vehicle breakdowns, which are common in real world situations, are considered. The computational cost of solving the multi-vehicle STAMC problem is also addressed by proposing a distributed computational architecture and implementing that architecture in a cluster computing system. Finally, the proposed algorithms are tested in a case study in an automated container terminal environment with a large fleet of autonomous straddle carriers.
Since the multi-vehicle task allocation and motion coordination is an NP-hard problem, it is almost impossible to find out the optimal solutions within a reasonable time frame. Therefore, this research focuses on investigating the appropriateness of heuristic and evolutionary algorithms for solving the STAMC problem. The Simulated Annealing algorithm, Ant Colony and Auction algorithms have been…
Subjects/Keywords: Autonomous vehicles.; Motor vehicles.; Automatic location systems.; Intelligent control systems.; Task allocation.; Motion coordination.; Collision avoidance.; Automated container terminal.
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APA (6th Edition):
Kulatunga, A. (2013). Task allocation and motion coordination of multiple autonomous vehicles - with application in automated container terminals. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/23544
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Kulatunga, AK. “Task allocation and motion coordination of multiple autonomous vehicles - with application in automated container terminals.” 2013. Thesis, University of Technology, Sydney. Accessed March 08, 2021.
http://hdl.handle.net/10453/23544.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Kulatunga, AK. “Task allocation and motion coordination of multiple autonomous vehicles - with application in automated container terminals.” 2013. Web. 08 Mar 2021.
Vancouver:
Kulatunga A. Task allocation and motion coordination of multiple autonomous vehicles - with application in automated container terminals. [Internet] [Thesis]. University of Technology, Sydney; 2013. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10453/23544.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Kulatunga A. Task allocation and motion coordination of multiple autonomous vehicles - with application in automated container terminals. [Thesis]. University of Technology, Sydney; 2013. Available from: http://hdl.handle.net/10453/23544
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Florida
26.
Li, Zhuofei.
Intersection Control Optimization and Simulation for Automated Vehicles at Isolated Intersections.
Degree: PhD, Civil Engineering - Civil and Coastal Engineering, 2015, University of Florida
URL: https://ufdc.ufl.edu/UFE0049251
► Intersection control is an important component of the transportation system and can significantly contribute to vehicular delay along urban streets. The current emphasis on the…
(more)
▼ Intersection control is an important component of the transportation system and can significantly contribute to vehicular delay along urban streets. The current emphasis on the development of automated (i.e., driverless and with the ability to communicate with the infrastructure)
vehicles brings at the forefront several questions related to the functionality and optimization of intersection control in order to take advantage of these advanced vehicle capabilities. The objective of this research is to develop and simulate an intersection control algorithm that allows for the system performance and the trajectory of each single vehicle to be jointly optimized under an automated vehicle environment.
Advisors/Committee Members: ELEFTERIADOU,AGELIKI (committee chair), YIN,YAFENG (committee member), RANKA,SANJAY (committee member), CRANE,CARL D,III (committee member).
Subjects/Keywords: Acceleration; Algorithms; Intelligent vehicles; Intersections; Motor vehicle traffic; Signals; Speed; Trajectories; Trajectory optimization; Vehicles; automated – intersection – optimization
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APA (6th Edition):
Li, Z. (2015). Intersection Control Optimization and Simulation for Automated Vehicles at Isolated Intersections. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0049251
Chicago Manual of Style (16th Edition):
Li, Zhuofei. “Intersection Control Optimization and Simulation for Automated Vehicles at Isolated Intersections.” 2015. Doctoral Dissertation, University of Florida. Accessed March 08, 2021.
https://ufdc.ufl.edu/UFE0049251.
MLA Handbook (7th Edition):
Li, Zhuofei. “Intersection Control Optimization and Simulation for Automated Vehicles at Isolated Intersections.” 2015. Web. 08 Mar 2021.
Vancouver:
Li Z. Intersection Control Optimization and Simulation for Automated Vehicles at Isolated Intersections. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2021 Mar 08].
Available from: https://ufdc.ufl.edu/UFE0049251.
Council of Science Editors:
Li Z. Intersection Control Optimization and Simulation for Automated Vehicles at Isolated Intersections. [Doctoral Dissertation]. University of Florida; 2015. Available from: https://ufdc.ufl.edu/UFE0049251
University of California – San Diego
27.
Martin, Sujitha Catherine.
Vision based, Multi-cue Driver Models for Intelligent Vehicles.
Degree: Electrical Engineering (Intelsys, Robotics and Cont), 2016, University of California – San Diego
URL: http://www.escholarship.org/uc/item/4v27v981
► This dissertation seeks to enable intelligent vehicles to see, to predict intentions, to understand and to model the state of driver.We developed a state of…
(more)
▼ This dissertation seeks to enable intelligent vehicles to see, to predict intentions, to understand and to model the state of driver.We developed a state of the art vision based non-contact gaze estimation framework by carefully designing submodules which will build up to achieve continuous and robust estimation. Key modules in this system include, face detection using deep convolutional neural networks, landmark estimation from cascaded regression models, head pose from geometrical correspondence mapping from 2-D points in the image plane to 3-D points in the head model, horizontal gaze surrogate based on geometrical formulation of the eye ball and iris position, vertical gaze surrogate based on openness of the upper eye lids and appearance descriptor, and finally, a 9-class gaze zone estimation from naturalistic driving data driven random forest algorithm. We developed a framework to model driver's gaze behavior by representing the scanpath over a time period using glance durations and transition frequencies. As a use case, we explore the driver's scanpath patterns during maneuvers executed in freeway driving, namely, left lane change maneuver, right lane change maneuver and lane keep. It is shown that condensing temporal scanpath into glance durations and glance transition frequencies leads to recurring patterns based on driver activities. Furthermore, modeling these patterns show predictive powers in maneuver detection up to a few seconds a priori and show a promise for developing gaze guidance during take over requests in highly automated vehicles.We introduce a framework to model the spatio-temporal movements of head, eyes and hands given naturalistic driving data of looking-in at the driver for any events or tasks performed of interest. As a use case, we explore the temporal coordination of the modalities on data of drivers executing maneuvers at stop-controlled intersections; the maneuvers executed are go straight, turn left and turn right. In sequentially increasing time windows, by training classifiers which have the ability to provide discriminative quality of its input variable, the experimental study at intersections shows which type of, when and how long distinguishable preparatory movements occur in the range of a few milliseconds to a few seconds.We introduce one part of the Vision for Intelligent Vehicles and Applications (VIVA) challenge, namely, the VIVA-face challenge. VIVA is a platform designed to share naturalistic driving data with the community in order to: present issues and challenges in vision from real-world driving conditions, benchmark existing vision approaches using proper metrics and progress the development of future vision algorithms. With a special focus on challenges from looking inside at the driver’s face, we provide information on how the data is acquired and annotated, and how methods are benchmarked, compared and shared on leaderboards.Finally, we propose de-identification filters for protecting the privacy of drivers while preserving sufficient details to infer driver…
Subjects/Keywords: Engineering; Driver state modeling; Gaze estimation; Intelligent vehicles; Multi-cue fusion; Naturalistic driving dataset; Privacy
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APA (6th Edition):
Martin, S. C. (2016). Vision based, Multi-cue Driver Models for Intelligent Vehicles. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/4v27v981
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Martin, Sujitha Catherine. “Vision based, Multi-cue Driver Models for Intelligent Vehicles.” 2016. Thesis, University of California – San Diego. Accessed March 08, 2021.
http://www.escholarship.org/uc/item/4v27v981.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Martin, Sujitha Catherine. “Vision based, Multi-cue Driver Models for Intelligent Vehicles.” 2016. Web. 08 Mar 2021.
Vancouver:
Martin SC. Vision based, Multi-cue Driver Models for Intelligent Vehicles. [Internet] [Thesis]. University of California – San Diego; 2016. [cited 2021 Mar 08].
Available from: http://www.escholarship.org/uc/item/4v27v981.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Martin SC. Vision based, Multi-cue Driver Models for Intelligent Vehicles. [Thesis]. University of California – San Diego; 2016. Available from: http://www.escholarship.org/uc/item/4v27v981
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Minnesota
28.
Roodell, Beau Duane.
Vehicle driver message alert system using DSRC/WAVE and
bluetooth.
Degree: 2009, University of Minnesota
URL: http://purl.umn.edu/59930
► University of Minnesota M.S. thesis. December 2009. Major:Electrical and Computer Engineering. Advisor: Professor Imran Hayee. 1 computer file (PDF); vii, 61 pages. Ill. (some col.)…
(more)
▼ University of Minnesota M.S. thesis. December 2009.
Major:Electrical and Computer Engineering. Advisor: Professor Imran
Hayee. 1 computer file (PDF); vii, 61 pages. Ill. (some
col.)
To save lives and prevent injuries on roadways,
inter-vehicle communication as well as communication between
vehicles and roadside is required. Intelligent Transportation
system (ITS) is a mission of the US department of transportation
which focuses on intelligent vehicles, intelligent infrastructure
and the creation of an intelligent transportation system through
integration with and between these two components. Dedicated Short
Range Communications (DSRC) is a tool approved for licensing by the
FCC in 2003 which promises to partially fulfill this mission. This
research utilizes DSRC infrastructure to communicate the traffic
safety information available at the roadside to a Bluetooth enabled
cell phone inside the vehicle. A major objective of this research
project was to design, build and demonstrate a wireless
communication interface device which can act as a
traffic-safety-information transportation agent between the DSRC
vehicle radio unit and a Bluetooth enabled cell phone inside a
vehicle. By having this interface device along with the DSRC radio
unit in a vehicle as a separate entity or integrated with a DSRC
unit, any driver will be able to receive the valuable traffic
safety messages on his Bluetooth enabled cell phone. The system
prototype was designed and built. The demonstration was given for
multiple road and traffic scenarios by successfully transmitting
the traffic safety messages to the Bluetooth enabled cell phone.
This prototype system can be used as a building block for a diverse
array of traffic safety applications.
Subjects/Keywords: Vehicles; Intelligent Transportation system; Dedicated Short Range Communications; Bluetooth; Traffic safety; Electrical and Computer Engineering
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APA (6th Edition):
Roodell, B. D. (2009). Vehicle driver message alert system using DSRC/WAVE and
bluetooth. (Masters Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/59930
Chicago Manual of Style (16th Edition):
Roodell, Beau Duane. “Vehicle driver message alert system using DSRC/WAVE and
bluetooth.” 2009. Masters Thesis, University of Minnesota. Accessed March 08, 2021.
http://purl.umn.edu/59930.
MLA Handbook (7th Edition):
Roodell, Beau Duane. “Vehicle driver message alert system using DSRC/WAVE and
bluetooth.” 2009. Web. 08 Mar 2021.
Vancouver:
Roodell BD. Vehicle driver message alert system using DSRC/WAVE and
bluetooth. [Internet] [Masters thesis]. University of Minnesota; 2009. [cited 2021 Mar 08].
Available from: http://purl.umn.edu/59930.
Council of Science Editors:
Roodell BD. Vehicle driver message alert system using DSRC/WAVE and
bluetooth. [Masters Thesis]. University of Minnesota; 2009. Available from: http://purl.umn.edu/59930
University of Michigan
29.
Aladem, Mohamed D.
Combined Learned and Classical Methods for Real-Time Visual Perception in Autonomous Driving.
Degree: PhD, College of Engineering & Computer Science, 2020, University of Michigan
URL: http://hdl.handle.net/2027.42/153989
► Autonomy, robotics, and Artificial Intelligence (AI) are among the main defining themes of next-generation societies. Of the most important applications of said technologies is driving…
(more)
▼ Autonomy, robotics, and Artificial Intelligence (AI) are among the main defining themes of next-generation societies. Of the most important applications of said technologies is driving automation which spans from different Advanced Driver Assistance Systems (ADAS) to full self-driving
vehicles. Driving automation is promising to reduce accidents, increase safety, and increase access to mobility for more people such as the elderly and the handicapped. However, one of the main challenges facing autonomous
vehicles is robust perception which can enable safe interaction and decision making. With so many sensors to perceive the environment, each with its own capabilities and limitations, vision is by far one of the main sensing modalities. Cameras are cheap and can provide rich information of the observed scene. Therefore, this dissertation develops a set of visual perception algorithms with a focus on autonomous driving as the target application area. This dissertation starts by addressing the problem of real-time motion estimation of an agent using only the visual input from a camera attached to it, a problem known as visual odometry. The visual odometry algorithm can achieve low drift rates over long-traveled distances. This is made possible through the innovative local mapping approach used. This visual odometry algorithm was then combined with my multi-object detection and tracking system. The tracking system operates in a tracking-by-detection paradigm where an object detector based on convolution neural networks (CNNs) is used. Therefore, the combined system can detect and track other traffic participants both in image domain and in 3D world frame while simultaneously estimating vehicle motion. This is a necessary requirement for obstacle avoidance and safe navigation. Finally, the operational range of traditional monocular cameras was expanded with the capability to infer depth and thus replace stereo and RGB-D cameras. This is accomplished through a single-stream convolution neural network which can output both depth prediction and semantic segmentation. Semantic segmentation is the process of classifying each pixel in an image and is an important step toward scene understanding. Literature survey, algorithms descriptions, and comprehensive evaluations on real-world datasets are presented.
Advisors/Committee Members: Rawashdeh, Samir A. (advisor), Awad, Selim (committee member), Chehade, Abdallah (committee member), Mohammadi, Alireza (committee member).
Subjects/Keywords: Robot vision; Autonomous vehicles; Robot perception; Deep learning; Intelligent Systems and Robotics
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APA (6th Edition):
Aladem, M. D. (2020). Combined Learned and Classical Methods for Real-Time Visual Perception in Autonomous Driving. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/153989
Chicago Manual of Style (16th Edition):
Aladem, Mohamed D. “Combined Learned and Classical Methods for Real-Time Visual Perception in Autonomous Driving.” 2020. Doctoral Dissertation, University of Michigan. Accessed March 08, 2021.
http://hdl.handle.net/2027.42/153989.
MLA Handbook (7th Edition):
Aladem, Mohamed D. “Combined Learned and Classical Methods for Real-Time Visual Perception in Autonomous Driving.” 2020. Web. 08 Mar 2021.
Vancouver:
Aladem MD. Combined Learned and Classical Methods for Real-Time Visual Perception in Autonomous Driving. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/2027.42/153989.
Council of Science Editors:
Aladem MD. Combined Learned and Classical Methods for Real-Time Visual Perception in Autonomous Driving. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/153989
Penn State University
30.
Nagle, Andrew Scott.
Using mobile probe data to estimate traffic states and the effects of perimeter control on urban networks.
Degree: 2014, Penn State University
URL: https://submit-etda.libraries.psu.edu/catalog/21163
► Aggregate models of traffic on urban networks have been studied for decades extending back to the 1960s and various theories have been developed to describe…
(more)
▼ Aggregate models of traffic on urban networks have been studied for decades extending back to the 1960s and various theories have been developed to describe networks as a function of measurable vehicular properties. Earlier models found that a monotonically decreasing relationship existed between the average speed and flow in the network. However, a monotonically decreasing relationship is only practical under free-flow or light conditions; therefore, these earlier models were only able to describe the uncongested regime. Recent work has shown that the average flow and density of a network are related and can dynamically describe both uncongested and congested conditions in an urban network. This relationship, known as the Macroscopic Fundamental Diagram (MFD), can be used to describe large-scale network dynamics and develop network-wide control strategies to improve efficiency.
This work examined the accuracy of combining data from fixed sensors and mobile probe
vehicles to estimate traffic states in real-time. Formulae were developed to estimate the average flow, density, speed, accumulation, and exit flow, along with the uncertainty of these estimates. The methodology was tested using data obtained from several micro-simulated networks to replicate realistic urban transportation networks. Tests using the micro-simulated models showed that estimations were within 10% of the true value for average flow, density, accumulation, and exit flow when 20% of the circulating
vehicles served as probes and average speed estimations were shown to be even more accurate. In addition, the mobile probe estimation methodology was used to inform a network-wide perimeter metering strategy on an idealized grid network. These results were compared to metering based on actual traffic states, and the results illustrated that metering can significantly reduce total travel times compared to the non-metering case if 25% of the
vehicles in the network serve as probe
vehicles. In general, this work shows that the estimation method may be used to inform network-wide metering strategies, which improve network stability and reduce congestion without additional costly infrastructure improvements.
Advisors/Committee Members: Vikash Varun Gayah, Thesis Advisor/Co-Advisor.
Subjects/Keywords: Macroscopic Fundamental Diagram; Mobile Probe Vehicles; Traffic Flow Theory; Intelligent Transportation Systems
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APA (6th Edition):
Nagle, A. S. (2014). Using mobile probe data to estimate traffic states and the effects of perimeter control on urban networks. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/21163
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Nagle, Andrew Scott. “Using mobile probe data to estimate traffic states and the effects of perimeter control on urban networks.” 2014. Thesis, Penn State University. Accessed March 08, 2021.
https://submit-etda.libraries.psu.edu/catalog/21163.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Nagle, Andrew Scott. “Using mobile probe data to estimate traffic states and the effects of perimeter control on urban networks.” 2014. Web. 08 Mar 2021.
Vancouver:
Nagle AS. Using mobile probe data to estimate traffic states and the effects of perimeter control on urban networks. [Internet] [Thesis]. Penn State University; 2014. [cited 2021 Mar 08].
Available from: https://submit-etda.libraries.psu.edu/catalog/21163.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Nagle AS. Using mobile probe data to estimate traffic states and the effects of perimeter control on urban networks. [Thesis]. Penn State University; 2014. Available from: https://submit-etda.libraries.psu.edu/catalog/21163
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
◁ [1] [2] [3] [4] [5] ▶
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Open Access Theses and Dissertations
