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You searched for subject:(driver modeling). Showing records 1 – 30 of 30 total matches.

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University of Michigan

1. Liu, Ke. Measuring and Quantifying Driver Workload on Limited Access Roads.

Degree: PhD, Industrial & Operations Engineering, 2019, University of Michigan

 Minimizing driver errors should improve driving safety. Driver errors are more common when workload is high than when it is low. Thus, it is of… (more)

Subjects/Keywords: Human factors; Driver workload; Workload modeling; Transportation; Driver behavior; Driving; Industrial and Operations Engineering; Engineering

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APA (6th Edition):

Liu, K. (2019). Measuring and Quantifying Driver Workload on Limited Access Roads. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/151422

Chicago Manual of Style (16th Edition):

Liu, Ke. “Measuring and Quantifying Driver Workload on Limited Access Roads.” 2019. Doctoral Dissertation, University of Michigan. Accessed March 07, 2021. http://hdl.handle.net/2027.42/151422.

MLA Handbook (7th Edition):

Liu, Ke. “Measuring and Quantifying Driver Workload on Limited Access Roads.” 2019. Web. 07 Mar 2021.

Vancouver:

Liu K. Measuring and Quantifying Driver Workload on Limited Access Roads. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2027.42/151422.

Council of Science Editors:

Liu K. Measuring and Quantifying Driver Workload on Limited Access Roads. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/151422


Delft University of Technology

2. Pizzigoni, Edoardo (author). ACC target performance setting via NDS big data analysis.

Degree: 2019, Delft University of Technology

 Advanced Driving Assistance Systems (ADAS) technologies like Adaptive Cruise Control (ACC) are becoming the normality for many users, and many major car manufacturers are introducing… (more)

Subjects/Keywords: ACC; ADAS; driver modeling; driver behaviour; Automated vehicles; car following; naturalistic driving study

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APA (6th Edition):

Pizzigoni, E. (. (2019). ACC target performance setting via NDS big data analysis. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:da09fb40-8142-4545-8440-2c91ef7434ff

Chicago Manual of Style (16th Edition):

Pizzigoni, Edoardo (author). “ACC target performance setting via NDS big data analysis.” 2019. Masters Thesis, Delft University of Technology. Accessed March 07, 2021. http://resolver.tudelft.nl/uuid:da09fb40-8142-4545-8440-2c91ef7434ff.

MLA Handbook (7th Edition):

Pizzigoni, Edoardo (author). “ACC target performance setting via NDS big data analysis.” 2019. Web. 07 Mar 2021.

Vancouver:

Pizzigoni E(. ACC target performance setting via NDS big data analysis. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Mar 07]. Available from: http://resolver.tudelft.nl/uuid:da09fb40-8142-4545-8440-2c91ef7434ff.

Council of Science Editors:

Pizzigoni E(. ACC target performance setting via NDS big data analysis. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:da09fb40-8142-4545-8440-2c91ef7434ff


University of California – Berkeley

3. Lin, Theresa. Modeling of Human Decision Making via Direct and Optimization-based Methods for Semi-Autonomous Systems.

Degree: Mechanical Engineering, 2015, University of California – Berkeley

 In the generation where progression in technology have propelled the research of human-machine intelligent systems, it is becoming increasingly important to study the fundamental principles… (more)

Subjects/Keywords: Cognitive psychology; Mechanical engineering; Controls; Driver Modeling; Human Modeling; Semiautonomous system

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APA (6th Edition):

Lin, T. (2015). Modeling of Human Decision Making via Direct and Optimization-based Methods for Semi-Autonomous Systems. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/8303b28t

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):

Lin, Theresa. “Modeling of Human Decision Making via Direct and Optimization-based Methods for Semi-Autonomous Systems.” 2015. Thesis, University of California – Berkeley. Accessed March 07, 2021. http://www.escholarship.org/uc/item/8303b28t.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lin, Theresa. “Modeling of Human Decision Making via Direct and Optimization-based Methods for Semi-Autonomous Systems.” 2015. Web. 07 Mar 2021.

Vancouver:

Lin T. Modeling of Human Decision Making via Direct and Optimization-based Methods for Semi-Autonomous Systems. [Internet] [Thesis]. University of California – Berkeley; 2015. [cited 2021 Mar 07]. Available from: http://www.escholarship.org/uc/item/8303b28t.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lin T. Modeling of Human Decision Making via Direct and Optimization-based Methods for Semi-Autonomous Systems. [Thesis]. University of California – Berkeley; 2015. Available from: http://www.escholarship.org/uc/item/8303b28t

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Delft University of Technology

4. Gruppelaar, Virgílio (author). Measuring and modeling the role of time margins on drivers’ pedal control inputs during cornering speed adaptation.

Degree: 2017, Delft University of Technology

Reducing conflicts between drivers and assistance systems has become an important issue in recent times, resulting in a need for a better understanding of how… (more)

Subjects/Keywords: driver modeling; time margins; human factors; speed control

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APA (6th Edition):

Gruppelaar, V. (. (2017). Measuring and modeling the role of time margins on drivers’ pedal control inputs during cornering speed adaptation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:b935ec4d-fd54-4264-af5b-0f78f388b236

Chicago Manual of Style (16th Edition):

Gruppelaar, Virgílio (author). “Measuring and modeling the role of time margins on drivers’ pedal control inputs during cornering speed adaptation.” 2017. Masters Thesis, Delft University of Technology. Accessed March 07, 2021. http://resolver.tudelft.nl/uuid:b935ec4d-fd54-4264-af5b-0f78f388b236.

MLA Handbook (7th Edition):

Gruppelaar, Virgílio (author). “Measuring and modeling the role of time margins on drivers’ pedal control inputs during cornering speed adaptation.” 2017. Web. 07 Mar 2021.

Vancouver:

Gruppelaar V(. Measuring and modeling the role of time margins on drivers’ pedal control inputs during cornering speed adaptation. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Mar 07]. Available from: http://resolver.tudelft.nl/uuid:b935ec4d-fd54-4264-af5b-0f78f388b236.

Council of Science Editors:

Gruppelaar V(. Measuring and modeling the role of time margins on drivers’ pedal control inputs during cornering speed adaptation. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:b935ec4d-fd54-4264-af5b-0f78f388b236


Delft University of Technology

5. Droogendijk, C.G.I. (author). A new neuromuscular driver model for steering system development.

Degree: 2010, Delft University of Technology

The evaluation of steering systems can be enhanced by replacing the test driver by a driver model capable of mimicking the driver’s needs, wants and… (more)

Subjects/Keywords: driver modeling; neuromuscular; steering system

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APA (6th Edition):

Droogendijk, C. G. I. (. (2010). A new neuromuscular driver model for steering system development. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:860c34b8-bb10-4ca2-94d3-33f70df55267

Chicago Manual of Style (16th Edition):

Droogendijk, C G I (author). “A new neuromuscular driver model for steering system development.” 2010. Masters Thesis, Delft University of Technology. Accessed March 07, 2021. http://resolver.tudelft.nl/uuid:860c34b8-bb10-4ca2-94d3-33f70df55267.

MLA Handbook (7th Edition):

Droogendijk, C G I (author). “A new neuromuscular driver model for steering system development.” 2010. Web. 07 Mar 2021.

Vancouver:

Droogendijk CGI(. A new neuromuscular driver model for steering system development. [Internet] [Masters thesis]. Delft University of Technology; 2010. [cited 2021 Mar 07]. Available from: http://resolver.tudelft.nl/uuid:860c34b8-bb10-4ca2-94d3-33f70df55267.

Council of Science Editors:

Droogendijk CGI(. A new neuromuscular driver model for steering system development. [Masters Thesis]. Delft University of Technology; 2010. Available from: http://resolver.tudelft.nl/uuid:860c34b8-bb10-4ca2-94d3-33f70df55267


Clemson University

6. Anderson, Jeffery Ryan. A Controls-Oriented Approach For Modeling Professional Drivers During Ultra-High Performance Maneuvers.

Degree: PhD, Automotive Engineering, 2018, Clemson University

  In the study of vehicle dynamics and controls, modeling ultra-high performance maneuvers (i.e., minimum-time vehicle maneuvering) is a fascinating problem that explores the boundaries… (more)

Subjects/Keywords: Driver Modeling; Minimum-Time Vehicle Maneuvering; Optimal Control; Optimization

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APA (6th Edition):

Anderson, J. R. (2018). A Controls-Oriented Approach For Modeling Professional Drivers During Ultra-High Performance Maneuvers. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2553

Chicago Manual of Style (16th Edition):

Anderson, Jeffery Ryan. “A Controls-Oriented Approach For Modeling Professional Drivers During Ultra-High Performance Maneuvers.” 2018. Doctoral Dissertation, Clemson University. Accessed March 07, 2021. https://tigerprints.clemson.edu/all_dissertations/2553.

MLA Handbook (7th Edition):

Anderson, Jeffery Ryan. “A Controls-Oriented Approach For Modeling Professional Drivers During Ultra-High Performance Maneuvers.” 2018. Web. 07 Mar 2021.

Vancouver:

Anderson JR. A Controls-Oriented Approach For Modeling Professional Drivers During Ultra-High Performance Maneuvers. [Internet] [Doctoral dissertation]. Clemson University; 2018. [cited 2021 Mar 07]. Available from: https://tigerprints.clemson.edu/all_dissertations/2553.

Council of Science Editors:

Anderson JR. A Controls-Oriented Approach For Modeling Professional Drivers During Ultra-High Performance Maneuvers. [Doctoral Dissertation]. Clemson University; 2018. Available from: https://tigerprints.clemson.edu/all_dissertations/2553

7. Waters, Thomas Robert. Adaptive driver modeling using machine learning algorithms for the energy optimal planning of velocity trajectories for electric vehicles and realizing simultaneous lane keeping and adaptive speed regulation on accessible mobile robot testbeds.

Degree: MS, Mechanical Engineering, 2018, Georgia Tech

 Part 1 Driver assistance systems show the potential to increase the fuel economy and optimize the range of standard and electric vehicles. Eco-driving focused systems… (more)

Subjects/Keywords: Driver modeling; Nonlinear control

…Velocity Trajectory Modeling . . . . . . . . . . . . . . . . . . 51 Evaluation of Driver… …individual drivers. Two methods for identifying, modeling, and predicting driver behavior using… …work, we explore adaptive driver behavior modeling methods, including pattern recognition and… …such as driver assistance systems and driver behavior modeling are introduced. 1.1 Driver… …x5B;2], advanced driver modeling also has applications in driving training and coaching… 

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APA (6th Edition):

Waters, T. R. (2018). Adaptive driver modeling using machine learning algorithms for the energy optimal planning of velocity trajectories for electric vehicles and realizing simultaneous lane keeping and adaptive speed regulation on accessible mobile robot testbeds. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59310

Chicago Manual of Style (16th Edition):

Waters, Thomas Robert. “Adaptive driver modeling using machine learning algorithms for the energy optimal planning of velocity trajectories for electric vehicles and realizing simultaneous lane keeping and adaptive speed regulation on accessible mobile robot testbeds.” 2018. Masters Thesis, Georgia Tech. Accessed March 07, 2021. http://hdl.handle.net/1853/59310.

MLA Handbook (7th Edition):

Waters, Thomas Robert. “Adaptive driver modeling using machine learning algorithms for the energy optimal planning of velocity trajectories for electric vehicles and realizing simultaneous lane keeping and adaptive speed regulation on accessible mobile robot testbeds.” 2018. Web. 07 Mar 2021.

Vancouver:

Waters TR. Adaptive driver modeling using machine learning algorithms for the energy optimal planning of velocity trajectories for electric vehicles and realizing simultaneous lane keeping and adaptive speed regulation on accessible mobile robot testbeds. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1853/59310.

Council of Science Editors:

Waters TR. Adaptive driver modeling using machine learning algorithms for the energy optimal planning of velocity trajectories for electric vehicles and realizing simultaneous lane keeping and adaptive speed regulation on accessible mobile robot testbeds. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59310

8. Abrashov, Sergey. Étude et modélisation du conducteur pour la conception de systèmes d’assistance à la conduite : Driver study and modeling for driving assistance systems developement.

Degree: Docteur es, Automatique, productique, signal et image, ingénierie cognitique, 2017, Bordeaux

Le confort et la sécurité de conduite sont les principaux critères de vente de l’industrie automobile actuelle. De nombreux projets de recherche sont mis en… (more)

Subjects/Keywords: Modélisation du conducteur; ADAS; Planification d’expérience; Driver modeling; ADAS; Experiment planning

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APA (6th Edition):

Abrashov, S. (2017). Étude et modélisation du conducteur pour la conception de systèmes d’assistance à la conduite : Driver study and modeling for driving assistance systems developement. (Doctoral Dissertation). Bordeaux. Retrieved from http://www.theses.fr/2017BORD0558

Chicago Manual of Style (16th Edition):

Abrashov, Sergey. “Étude et modélisation du conducteur pour la conception de systèmes d’assistance à la conduite : Driver study and modeling for driving assistance systems developement.” 2017. Doctoral Dissertation, Bordeaux. Accessed March 07, 2021. http://www.theses.fr/2017BORD0558.

MLA Handbook (7th Edition):

Abrashov, Sergey. “Étude et modélisation du conducteur pour la conception de systèmes d’assistance à la conduite : Driver study and modeling for driving assistance systems developement.” 2017. Web. 07 Mar 2021.

Vancouver:

Abrashov S. Étude et modélisation du conducteur pour la conception de systèmes d’assistance à la conduite : Driver study and modeling for driving assistance systems developement. [Internet] [Doctoral dissertation]. Bordeaux; 2017. [cited 2021 Mar 07]. Available from: http://www.theses.fr/2017BORD0558.

Council of Science Editors:

Abrashov S. Étude et modélisation du conducteur pour la conception de systèmes d’assistance à la conduite : Driver study and modeling for driving assistance systems developement. [Doctoral Dissertation]. Bordeaux; 2017. Available from: http://www.theses.fr/2017BORD0558


The Ohio State University

9. Schnelle, Scott C. Development of Personalized Lateral and Longitudinal Driver Behavior Models for Optimal Human-Vehicle Interactive Control.

Degree: PhD, Mechanical Engineering, 2016, The Ohio State University

 Advanced driver assistance systems (ADAS) are a subject of increasing interest as they are being implemented on production vehicles and also continue to be developed… (more)

Subjects/Keywords: Mechanical Engineering; Driver Modeling, ADAS, Human-Vehicle Interaction

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APA (6th Edition):

Schnelle, S. C. (2016). Development of Personalized Lateral and Longitudinal Driver Behavior Models for Optimal Human-Vehicle Interactive Control. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1480362246357462

Chicago Manual of Style (16th Edition):

Schnelle, Scott C. “Development of Personalized Lateral and Longitudinal Driver Behavior Models for Optimal Human-Vehicle Interactive Control.” 2016. Doctoral Dissertation, The Ohio State University. Accessed March 07, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1480362246357462.

MLA Handbook (7th Edition):

Schnelle, Scott C. “Development of Personalized Lateral and Longitudinal Driver Behavior Models for Optimal Human-Vehicle Interactive Control.” 2016. Web. 07 Mar 2021.

Vancouver:

Schnelle SC. Development of Personalized Lateral and Longitudinal Driver Behavior Models for Optimal Human-Vehicle Interactive Control. [Internet] [Doctoral dissertation]. The Ohio State University; 2016. [cited 2021 Mar 07]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1480362246357462.

Council of Science Editors:

Schnelle SC. Development of Personalized Lateral and Longitudinal Driver Behavior Models for Optimal Human-Vehicle Interactive Control. [Doctoral Dissertation]. The Ohio State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1480362246357462


Virginia Tech

10. D'Angio, Paul Christopher. Adaptive and Passive Non-Visual Driver Assistance Technologies for the Blind Driver Challenge®.

Degree: PhD, Mechanical Engineering, 2012, Virginia Tech

 This work proposes a series of driver assistance technologies that enable blind persons to safely and independently operate an automobile on standard public roads. Such… (more)

Subjects/Keywords: Real-Time Neural Network Driver Modeling; Driver Assistive Technologies; Model Predictive Control; Quazi-Newton Optimization; Non-Visual Human Computer Interfaces

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APA (6th Edition):

D'Angio, P. C. (2012). Adaptive and Passive Non-Visual Driver Assistance Technologies for the Blind Driver Challenge®. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/27582

Chicago Manual of Style (16th Edition):

D'Angio, Paul Christopher. “Adaptive and Passive Non-Visual Driver Assistance Technologies for the Blind Driver Challenge®.” 2012. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/27582.

MLA Handbook (7th Edition):

D'Angio, Paul Christopher. “Adaptive and Passive Non-Visual Driver Assistance Technologies for the Blind Driver Challenge®.” 2012. Web. 07 Mar 2021.

Vancouver:

D'Angio PC. Adaptive and Passive Non-Visual Driver Assistance Technologies for the Blind Driver Challenge®. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/27582.

Council of Science Editors:

D'Angio PC. Adaptive and Passive Non-Visual Driver Assistance Technologies for the Blind Driver Challenge®. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/27582


University of California – San Diego

11. 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

 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)

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 07, 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. 07 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 07]. 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 Toronto

12. Zhang, Wei Jia Jia. A Smart Gate Driver IC for Enhancement Mode GaN Power Transistor with Dead-time Correction.

Degree: PhD, 2019, University of Toronto

 Researchers in power electronics have been optimizing silicon devices with novel structures and gate drivers to keep up with the growing demands for power management.… (more)

Subjects/Keywords: Dead-time control; Device Modeling; GaN HEMT; Gate driver IC; Segmented drivers; SenseFET Clamping; 0537

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APA (6th Edition):

Zhang, W. J. J. (2019). A Smart Gate Driver IC for Enhancement Mode GaN Power Transistor with Dead-time Correction. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/97759

Chicago Manual of Style (16th Edition):

Zhang, Wei Jia Jia. “A Smart Gate Driver IC for Enhancement Mode GaN Power Transistor with Dead-time Correction.” 2019. Doctoral Dissertation, University of Toronto. Accessed March 07, 2021. http://hdl.handle.net/1807/97759.

MLA Handbook (7th Edition):

Zhang, Wei Jia Jia. “A Smart Gate Driver IC for Enhancement Mode GaN Power Transistor with Dead-time Correction.” 2019. Web. 07 Mar 2021.

Vancouver:

Zhang WJJ. A Smart Gate Driver IC for Enhancement Mode GaN Power Transistor with Dead-time Correction. [Internet] [Doctoral dissertation]. University of Toronto; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1807/97759.

Council of Science Editors:

Zhang WJJ. A Smart Gate Driver IC for Enhancement Mode GaN Power Transistor with Dead-time Correction. [Doctoral Dissertation]. University of Toronto; 2019. Available from: http://hdl.handle.net/1807/97759


University of Waterloo

13. Khosravani, Saeid. Vehicle Stability Control Considering the Driver-in-the-Loop.

Degree: 2016, University of Waterloo

 A driver‐in‐the‐loop modeling framework is essential for a full analysis of vehicle stability systems. In theory, knowing the vehicle’s desired path (driver’s intention), the problem… (more)

Subjects/Keywords: Vehicle Stability; Driver Modeling; Delay; Robust Control; Markov Jump; Linear Parameter Varying Systems

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APA (6th Edition):

Khosravani, S. (2016). Vehicle Stability Control Considering the Driver-in-the-Loop. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/10610

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):

Khosravani, Saeid. “Vehicle Stability Control Considering the Driver-in-the-Loop.” 2016. Thesis, University of Waterloo. Accessed March 07, 2021. http://hdl.handle.net/10012/10610.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Khosravani, Saeid. “Vehicle Stability Control Considering the Driver-in-the-Loop.” 2016. Web. 07 Mar 2021.

Vancouver:

Khosravani S. Vehicle Stability Control Considering the Driver-in-the-Loop. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10012/10610.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Khosravani S. Vehicle Stability Control Considering the Driver-in-the-Loop. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/10610

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Washington

14. Wu, Yuqing. Quantifying Drivers Foot Movements and Pedal Misapplication Errors.

Degree: PhD, 2016, University of Washington

 Pedal errors refer to the situation when the driver mistakenly presses the wrong pedal or does not press the pedal at all. A negative outcome… (more)

Subjects/Keywords: Driver behavior; Foot trajectory; Pedal application types; Pedal misapplication errors; Statistical modeling; Industrial engineering; Transportation; Statistics; industrial engineering

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APA (6th Edition):

Wu, Y. (2016). Quantifying Drivers Foot Movements and Pedal Misapplication Errors. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/35229

Chicago Manual of Style (16th Edition):

Wu, Yuqing. “Quantifying Drivers Foot Movements and Pedal Misapplication Errors.” 2016. Doctoral Dissertation, University of Washington. Accessed March 07, 2021. http://hdl.handle.net/1773/35229.

MLA Handbook (7th Edition):

Wu, Yuqing. “Quantifying Drivers Foot Movements and Pedal Misapplication Errors.” 2016. Web. 07 Mar 2021.

Vancouver:

Wu Y. Quantifying Drivers Foot Movements and Pedal Misapplication Errors. [Internet] [Doctoral dissertation]. University of Washington; 2016. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1773/35229.

Council of Science Editors:

Wu Y. Quantifying Drivers Foot Movements and Pedal Misapplication Errors. [Doctoral Dissertation]. University of Washington; 2016. Available from: http://hdl.handle.net/1773/35229


Arizona State University

15. Jahagirdar, Tanvi. Modeling and Measuring Cognitive Load to Reduce Driver Distraction in Smart Cars.

Degree: Computer Science, 2015, Arizona State University

Driver distraction research has a long history spanning nearly 50 years, intensifying in the last decade. The focus has always been on identifying the distractive… (more)

Subjects/Keywords: Computer science; Computer engineering; Automotive engineering; cognitive load; driver distraction; human-car interaction; modeling; multi-modal; smart cars

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APA (6th Edition):

Jahagirdar, T. (2015). Modeling and Measuring Cognitive Load to Reduce Driver Distraction in Smart Cars. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/29885

Chicago Manual of Style (16th Edition):

Jahagirdar, Tanvi. “Modeling and Measuring Cognitive Load to Reduce Driver Distraction in Smart Cars.” 2015. Masters Thesis, Arizona State University. Accessed March 07, 2021. http://repository.asu.edu/items/29885.

MLA Handbook (7th Edition):

Jahagirdar, Tanvi. “Modeling and Measuring Cognitive Load to Reduce Driver Distraction in Smart Cars.” 2015. Web. 07 Mar 2021.

Vancouver:

Jahagirdar T. Modeling and Measuring Cognitive Load to Reduce Driver Distraction in Smart Cars. [Internet] [Masters thesis]. Arizona State University; 2015. [cited 2021 Mar 07]. Available from: http://repository.asu.edu/items/29885.

Council of Science Editors:

Jahagirdar T. Modeling and Measuring Cognitive Load to Reduce Driver Distraction in Smart Cars. [Masters Thesis]. Arizona State University; 2015. Available from: http://repository.asu.edu/items/29885

16. Sameera Chathuranga, Koththigoda Kankanamge. Crash analysis and road user survey to identify issues and countermeasures for older drivers in Kansas.

Degree: MS, Department of Civil Engineering, 2017, Kansas State University

 The percentage of the U.S. population aged 65 years or older is increasing rapidly. Statistics also show this age group was 14.9 percent of the… (more)

Subjects/Keywords: Older driver safety; Crash severity modeling

driver safety. Previous researchers have used different kinds of statistical modeling… …logistic regression modeling was chosen to model crash severity of older-driver-involved crashes… …driver-related issues in Kansas. 4 1.3 Objectives The main objective of this research was to… …achieved by summarizing general crash data, comparing older-driver crash characteristics with all… …and includes studies related to factors affecting older-driver crashes, statistical… 

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APA (6th Edition):

Sameera Chathuranga, K. K. (2017). Crash analysis and road user survey to identify issues and countermeasures for older drivers in Kansas. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/35452

Chicago Manual of Style (16th Edition):

Sameera Chathuranga, Koththigoda Kankanamge. “Crash analysis and road user survey to identify issues and countermeasures for older drivers in Kansas.” 2017. Masters Thesis, Kansas State University. Accessed March 07, 2021. http://hdl.handle.net/2097/35452.

MLA Handbook (7th Edition):

Sameera Chathuranga, Koththigoda Kankanamge. “Crash analysis and road user survey to identify issues and countermeasures for older drivers in Kansas.” 2017. Web. 07 Mar 2021.

Vancouver:

Sameera Chathuranga KK. Crash analysis and road user survey to identify issues and countermeasures for older drivers in Kansas. [Internet] [Masters thesis]. Kansas State University; 2017. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2097/35452.

Council of Science Editors:

Sameera Chathuranga KK. Crash analysis and road user survey to identify issues and countermeasures for older drivers in Kansas. [Masters Thesis]. Kansas State University; 2017. Available from: http://hdl.handle.net/2097/35452


Virginia Tech

17. Elhenawy, Mohammed Mamdouh Zakaria. Appling Machine and Statistical Learning Techniques to Intelligent Transport Systems: Bottleneck Identification and Prediction, Dynamic Travel Time Prediction, Driver Run-Stop Behavior Modeling, and Autonomous Vehicle Control at Intersections.

Degree: PhD, Computer Engineering, 2015, Virginia Tech

 In this dissertation, new algorithms that address three traffic problems of major importance are developed. First automatic identification and prediction algorithms are developed to identify… (more)

Subjects/Keywords: Machine learning; statistical learning; ITS; Bottlenecks Identification and Prediction; Dynamic Travel Time Prediction; Stop-run Driver Behavior Modeling; and uncontrolled intersection

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APA (6th Edition):

Elhenawy, M. M. Z. (2015). Appling Machine and Statistical Learning Techniques to Intelligent Transport Systems: Bottleneck Identification and Prediction, Dynamic Travel Time Prediction, Driver Run-Stop Behavior Modeling, and Autonomous Vehicle Control at Intersections. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/73790

Chicago Manual of Style (16th Edition):

Elhenawy, Mohammed Mamdouh Zakaria. “Appling Machine and Statistical Learning Techniques to Intelligent Transport Systems: Bottleneck Identification and Prediction, Dynamic Travel Time Prediction, Driver Run-Stop Behavior Modeling, and Autonomous Vehicle Control at Intersections.” 2015. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/73790.

MLA Handbook (7th Edition):

Elhenawy, Mohammed Mamdouh Zakaria. “Appling Machine and Statistical Learning Techniques to Intelligent Transport Systems: Bottleneck Identification and Prediction, Dynamic Travel Time Prediction, Driver Run-Stop Behavior Modeling, and Autonomous Vehicle Control at Intersections.” 2015. Web. 07 Mar 2021.

Vancouver:

Elhenawy MMZ. Appling Machine and Statistical Learning Techniques to Intelligent Transport Systems: Bottleneck Identification and Prediction, Dynamic Travel Time Prediction, Driver Run-Stop Behavior Modeling, and Autonomous Vehicle Control at Intersections. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/73790.

Council of Science Editors:

Elhenawy MMZ. Appling Machine and Statistical Learning Techniques to Intelligent Transport Systems: Bottleneck Identification and Prediction, Dynamic Travel Time Prediction, Driver Run-Stop Behavior Modeling, and Autonomous Vehicle Control at Intersections. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/73790


University of Michigan

18. Xu, Zhengtian. On the Empty Miles of Ride-Sourcing Services: Theory, Observation and Countermeasures.

Degree: PhD, Civil Engineering, 2020, University of Michigan

 The proliferation of smartphones in recent years has catalyzed the rapid growth of ride-sourcing services such as Uber, Lyft, and Didi Chuxing. Such on-demand e-hailing… (more)

Subjects/Keywords: ride-sourcing systems and services; system modeling and analysis; driver behavior and management; market equilibrium and regulation; Transportation; Engineering

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APA (6th Edition):

Xu, Z. (2020). On the Empty Miles of Ride-Sourcing Services: Theory, Observation and Countermeasures. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/163209

Chicago Manual of Style (16th Edition):

Xu, Zhengtian. “On the Empty Miles of Ride-Sourcing Services: Theory, Observation and Countermeasures.” 2020. Doctoral Dissertation, University of Michigan. Accessed March 07, 2021. http://hdl.handle.net/2027.42/163209.

MLA Handbook (7th Edition):

Xu, Zhengtian. “On the Empty Miles of Ride-Sourcing Services: Theory, Observation and Countermeasures.” 2020. Web. 07 Mar 2021.

Vancouver:

Xu Z. On the Empty Miles of Ride-Sourcing Services: Theory, Observation and Countermeasures. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2027.42/163209.

Council of Science Editors:

Xu Z. On the Empty Miles of Ride-Sourcing Services: Theory, Observation and Countermeasures. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/163209


Georgia Tech

19. Yu, Huan. Behavioral modeling of drivers and oscillators using machine learning.

Degree: PhD, Electrical and Computer Engineering, 2019, Georgia Tech

 The objective of this dissertation is to develop time-domain behavioral models for I/O drivers and oscillators for fast simulation and IP protection. For oscillators, augmented… (more)

Subjects/Keywords: Behavioral modeling; voltage-controlled oscillator (VCO); neural network; output buffer; pre-emphasis driver; input/output buffer modeling; signal and power integrity; control parameters; overclocking; Verilog-A

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APA (6th Edition):

Yu, H. (2019). Behavioral modeling of drivers and oscillators using machine learning. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/64031

Chicago Manual of Style (16th Edition):

Yu, Huan. “Behavioral modeling of drivers and oscillators using machine learning.” 2019. Doctoral Dissertation, Georgia Tech. Accessed March 07, 2021. http://hdl.handle.net/1853/64031.

MLA Handbook (7th Edition):

Yu, Huan. “Behavioral modeling of drivers and oscillators using machine learning.” 2019. Web. 07 Mar 2021.

Vancouver:

Yu H. Behavioral modeling of drivers and oscillators using machine learning. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1853/64031.

Council of Science Editors:

Yu H. Behavioral modeling of drivers and oscillators using machine learning. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/64031


Virginia Tech

20. Sangster, John David. Naturalistic Driving Data for the Analysis of Car-Following Models.

Degree: MS, Civil Engineering, 2011, Virginia Tech

 The driver-specific data from a naturalistic driving study provides car-following events in real-world driving situations, while additionally providing a wealth of information about the participating… (more)

Subjects/Keywords: traffic modeling; traffic flow theory; naturalistic driver behavior; car-following modeling

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APA (6th Edition):

Sangster, J. D. (2011). Naturalistic Driving Data for the Analysis of Car-Following Models. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/76925

Chicago Manual of Style (16th Edition):

Sangster, John David. “Naturalistic Driving Data for the Analysis of Car-Following Models.” 2011. Masters Thesis, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/76925.

MLA Handbook (7th Edition):

Sangster, John David. “Naturalistic Driving Data for the Analysis of Car-Following Models.” 2011. Web. 07 Mar 2021.

Vancouver:

Sangster JD. Naturalistic Driving Data for the Analysis of Car-Following Models. [Internet] [Masters thesis]. Virginia Tech; 2011. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/76925.

Council of Science Editors:

Sangster JD. Naturalistic Driving Data for the Analysis of Car-Following Models. [Masters Thesis]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/76925

21. Phan, Minh Tien. Estimation of driver awareness of pedestrian for an augmented reality advanced driving assistance system : Estimation de l’inattention du conducteur vis-à-vis d’un piéton pour un système d’aide à la conduite avancé utilisant la réalité augmentée.

Degree: Docteur es, Technologies de l'Information et des Systèmes : Unité de recherche Heudyasic [UMR-7253], 2016, Compiègne

 La réalité augmentée (Augmented Reality ou AR) peut potentiellement changer significativement l’expérience utilisateur. Au contraire les applications sur Smartphone ou tablette, les technologies d’affichage tête… (more)

Subjects/Keywords: Système d'alerte anticollision avec piétons; Conscience de la situation; Modélisation des comportements du conducteur; Situation awareness; Machine learning; Augmented reality; Driver behavior modeling; Pedestrian collision warning system; Driving simulator; Human machine interaction; Advanced driver assistance system

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APA (6th Edition):

Phan, M. T. (2016). Estimation of driver awareness of pedestrian for an augmented reality advanced driving assistance system : Estimation de l’inattention du conducteur vis-à-vis d’un piéton pour un système d’aide à la conduite avancé utilisant la réalité augmentée. (Doctoral Dissertation). Compiègne. Retrieved from http://www.theses.fr/2016COMP2280

Chicago Manual of Style (16th Edition):

Phan, Minh Tien. “Estimation of driver awareness of pedestrian for an augmented reality advanced driving assistance system : Estimation de l’inattention du conducteur vis-à-vis d’un piéton pour un système d’aide à la conduite avancé utilisant la réalité augmentée.” 2016. Doctoral Dissertation, Compiègne. Accessed March 07, 2021. http://www.theses.fr/2016COMP2280.

MLA Handbook (7th Edition):

Phan, Minh Tien. “Estimation of driver awareness of pedestrian for an augmented reality advanced driving assistance system : Estimation de l’inattention du conducteur vis-à-vis d’un piéton pour un système d’aide à la conduite avancé utilisant la réalité augmentée.” 2016. Web. 07 Mar 2021.

Vancouver:

Phan MT. Estimation of driver awareness of pedestrian for an augmented reality advanced driving assistance system : Estimation de l’inattention du conducteur vis-à-vis d’un piéton pour un système d’aide à la conduite avancé utilisant la réalité augmentée. [Internet] [Doctoral dissertation]. Compiègne; 2016. [cited 2021 Mar 07]. Available from: http://www.theses.fr/2016COMP2280.

Council of Science Editors:

Phan MT. Estimation of driver awareness of pedestrian for an augmented reality advanced driving assistance system : Estimation de l’inattention du conducteur vis-à-vis d’un piéton pour un système d’aide à la conduite avancé utilisant la réalité augmentée. [Doctoral Dissertation]. Compiègne; 2016. Available from: http://www.theses.fr/2016COMP2280

22. Yang, Hsin-Hsiang. Driver Models to Emulate Human Anomalous Behaviors Leading to Vehicle Lateral and Longitudinal Accidents.

Degree: PhD, Mechanical Engineering, 2010, University of Michigan

 A new driver model is developed to emulate anomalous driving behaviors. This driver model is developed based on the concept that a driver model that… (more)

Subjects/Keywords: Driver Modeling; Active Safety; Driving Behavior; Errable Driver Model; Mechanical Engineering; Engineering

…needed for the driving task. Modeling driving error is different from modeling driver… …modeling process for driver models that emulate anomalous behaviors will be provided. Despite our… …an optimization scheme. Finally, a more complicated concept for driver modeling was shown… …traffic flow. Other than measuring dynamic variables and modeling driver decisions as a… …Fig. 3.15 Linearized driver/vehicle system diagram… 

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APA (6th Edition):

Yang, H. (2010). Driver Models to Emulate Human Anomalous Behaviors Leading to Vehicle Lateral and Longitudinal Accidents. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/77710

Chicago Manual of Style (16th Edition):

Yang, Hsin-Hsiang. “Driver Models to Emulate Human Anomalous Behaviors Leading to Vehicle Lateral and Longitudinal Accidents.” 2010. Doctoral Dissertation, University of Michigan. Accessed March 07, 2021. http://hdl.handle.net/2027.42/77710.

MLA Handbook (7th Edition):

Yang, Hsin-Hsiang. “Driver Models to Emulate Human Anomalous Behaviors Leading to Vehicle Lateral and Longitudinal Accidents.” 2010. Web. 07 Mar 2021.

Vancouver:

Yang H. Driver Models to Emulate Human Anomalous Behaviors Leading to Vehicle Lateral and Longitudinal Accidents. [Internet] [Doctoral dissertation]. University of Michigan; 2010. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2027.42/77710.

Council of Science Editors:

Yang H. Driver Models to Emulate Human Anomalous Behaviors Leading to Vehicle Lateral and Longitudinal Accidents. [Doctoral Dissertation]. University of Michigan; 2010. Available from: http://hdl.handle.net/2027.42/77710


Penn State University

23. Thiruvengada Ramanujam, Hari H S. DEVELOPING A FORMALISM FOR GIBSON’S AFFORDANCES USING COLORED PETRI NETS .

Degree: 2008, Penn State University

 Gibson (1979/1986) proposed affordance theory to represent and model what the environment offers an animal for good or ill. Since its inception by Gibson, affordance… (more)

Subjects/Keywords: Human Behavior Modeling; Performance Evaluation; Driver Behavior; CPN; Colored Petri Net; Affordance; Simulation

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APA (6th Edition):

Thiruvengada Ramanujam, H. H. S. (2008). DEVELOPING A FORMALISM FOR GIBSON’S AFFORDANCES USING COLORED PETRI NETS . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/7901

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):

Thiruvengada Ramanujam, Hari H S. “DEVELOPING A FORMALISM FOR GIBSON’S AFFORDANCES USING COLORED PETRI NETS .” 2008. Thesis, Penn State University. Accessed March 07, 2021. https://submit-etda.libraries.psu.edu/catalog/7901.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Thiruvengada Ramanujam, Hari H S. “DEVELOPING A FORMALISM FOR GIBSON’S AFFORDANCES USING COLORED PETRI NETS .” 2008. Web. 07 Mar 2021.

Vancouver:

Thiruvengada Ramanujam HHS. DEVELOPING A FORMALISM FOR GIBSON’S AFFORDANCES USING COLORED PETRI NETS . [Internet] [Thesis]. Penn State University; 2008. [cited 2021 Mar 07]. Available from: https://submit-etda.libraries.psu.edu/catalog/7901.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Thiruvengada Ramanujam HHS. DEVELOPING A FORMALISM FOR GIBSON’S AFFORDANCES USING COLORED PETRI NETS . [Thesis]. Penn State University; 2008. Available from: https://submit-etda.libraries.psu.edu/catalog/7901

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

24. Vyas, Gaurav. A joint vehicle holdings (type and vintage) and primary driver assignment model with an application for California.

Degree: MSin Engineering, Civil Engineering, 2011, University of Texas – Austin

 Transportation sector has been a major contributing factor to the overall emissions of most pollutants and thus their impacts on the environment. Among all transportation… (more)

Subjects/Keywords: Car ownership model; Primary driver allocation; MDCEV; Activity based modeling

…Estimation Results of MNL Component for Primary Driver Allocation… …35 ix Chapter 1: Introduction In regional travel modeling and simulation, the… …travel demand modeling and transportation policy analysis. To be sure, the importance of… …modeling household vehicle fleet choices has been recognized for several decades now, though the… …broad context of the methodological challenge of modeling all dimensions of all vehicles owned… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

Vyas, G. (2011). A joint vehicle holdings (type and vintage) and primary driver assignment model with an application for California. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/15711

Chicago Manual of Style (16th Edition):

Vyas, Gaurav. “A joint vehicle holdings (type and vintage) and primary driver assignment model with an application for California.” 2011. Masters Thesis, University of Texas – Austin. Accessed March 07, 2021. http://hdl.handle.net/2152/15711.

MLA Handbook (7th Edition):

Vyas, Gaurav. “A joint vehicle holdings (type and vintage) and primary driver assignment model with an application for California.” 2011. Web. 07 Mar 2021.

Vancouver:

Vyas G. A joint vehicle holdings (type and vintage) and primary driver assignment model with an application for California. [Internet] [Masters thesis]. University of Texas – Austin; 2011. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2152/15711.

Council of Science Editors:

Vyas G. A joint vehicle holdings (type and vintage) and primary driver assignment model with an application for California. [Masters Thesis]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/15711

25. Sierra Gonzalez, David. Towards Human-Like Prediction and Decision-Making for Automated Vehicles in Highway Scenarios : Vers une prédiction et une prise de décision inspirées de celles des humains pour la conduite automatisée de véhicules sur autoroute.

Degree: Docteur es, Informatique, 2019, Université Grenoble Alpes (ComUE)

 Au cours des dernières décennies, les constructeurs automobiles ont constamment introduit des innovations technologiques visant à rendre les véhicules plus sûrs. Le niveau de sophistication… (more)

Subjects/Keywords: Navigation en milieu humain; Prise de décision dans l’incertain; Prédiction de mouvement; Modélisation et apprentissage de comportements; Motion prediction; Driver behavior modeling; Decision-Making under uncertainty; 004.019

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APA (6th Edition):

Sierra Gonzalez, D. (2019). Towards Human-Like Prediction and Decision-Making for Automated Vehicles in Highway Scenarios : Vers une prédiction et une prise de décision inspirées de celles des humains pour la conduite automatisée de véhicules sur autoroute. (Doctoral Dissertation). Université Grenoble Alpes (ComUE). Retrieved from http://www.theses.fr/2019GREAM012

Chicago Manual of Style (16th Edition):

Sierra Gonzalez, David. “Towards Human-Like Prediction and Decision-Making for Automated Vehicles in Highway Scenarios : Vers une prédiction et une prise de décision inspirées de celles des humains pour la conduite automatisée de véhicules sur autoroute.” 2019. Doctoral Dissertation, Université Grenoble Alpes (ComUE). Accessed March 07, 2021. http://www.theses.fr/2019GREAM012.

MLA Handbook (7th Edition):

Sierra Gonzalez, David. “Towards Human-Like Prediction and Decision-Making for Automated Vehicles in Highway Scenarios : Vers une prédiction et une prise de décision inspirées de celles des humains pour la conduite automatisée de véhicules sur autoroute.” 2019. Web. 07 Mar 2021.

Vancouver:

Sierra Gonzalez D. Towards Human-Like Prediction and Decision-Making for Automated Vehicles in Highway Scenarios : Vers une prédiction et une prise de décision inspirées de celles des humains pour la conduite automatisée de véhicules sur autoroute. [Internet] [Doctoral dissertation]. Université Grenoble Alpes (ComUE); 2019. [cited 2021 Mar 07]. Available from: http://www.theses.fr/2019GREAM012.

Council of Science Editors:

Sierra Gonzalez D. Towards Human-Like Prediction and Decision-Making for Automated Vehicles in Highway Scenarios : Vers une prédiction et une prise de décision inspirées de celles des humains pour la conduite automatisée de véhicules sur autoroute. [Doctoral Dissertation]. Université Grenoble Alpes (ComUE); 2019. Available from: http://www.theses.fr/2019GREAM012

26. Fuller, Helen J. A. The Virtual Driver: Integrating Physical and Cognitive Human Models to Simulate Driving with a Secondary In-Vehicle Task.

Degree: PhD, Biomedical Engineering, 2010, University of Michigan

 Models of human behavior provide insight into people’s choices and actions and form the basis of engineering tools for predicting performance and improving interface design.… (more)

Subjects/Keywords: Human Modeling; Cognitive Modeling; Driver Distraction; Integrated Human Model; QN-MHP; HUMOSIM Framework; Biomedical Engineering; Engineering

…95 Chapter 5 Modeling the Convoy Experiment with the Virtual Driver Model… …59 Chapter 4 Virtual Driver Model… …80 vii Physical Capabilities of Driver… …81 The Virtual Driver: Integration of Cognitive Model and Physical Model… …82 Modeling Driving with an In-Vehicle Task… 

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APA (6th Edition):

Fuller, H. J. A. (2010). The Virtual Driver: Integrating Physical and Cognitive Human Models to Simulate Driving with a Secondary In-Vehicle Task. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/75847

Chicago Manual of Style (16th Edition):

Fuller, Helen J A. “The Virtual Driver: Integrating Physical and Cognitive Human Models to Simulate Driving with a Secondary In-Vehicle Task.” 2010. Doctoral Dissertation, University of Michigan. Accessed March 07, 2021. http://hdl.handle.net/2027.42/75847.

MLA Handbook (7th Edition):

Fuller, Helen J A. “The Virtual Driver: Integrating Physical and Cognitive Human Models to Simulate Driving with a Secondary In-Vehicle Task.” 2010. Web. 07 Mar 2021.

Vancouver:

Fuller HJA. The Virtual Driver: Integrating Physical and Cognitive Human Models to Simulate Driving with a Secondary In-Vehicle Task. [Internet] [Doctoral dissertation]. University of Michigan; 2010. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2027.42/75847.

Council of Science Editors:

Fuller HJA. The Virtual Driver: Integrating Physical and Cognitive Human Models to Simulate Driving with a Secondary In-Vehicle Task. [Doctoral Dissertation]. University of Michigan; 2010. Available from: http://hdl.handle.net/2027.42/75847

27. Tielman, W.L. An Agent-based Approach to Simulating Train Driver Behaviour.

Degree: 2015, Universiteit Utrecht

 Railway simulations have been a useful tool within the railway industry. One of the simulators that ProRail, the Dutch infrastructure manager for the railways, uses… (more)

Subjects/Keywords: agents; simulation; railway; modeling human operator; artificial Intelligence; train driver behaviour; machine learning

…of train driver behaviour. Agent based simulation has been noted as a powerful simulation… …driver implementation in order to do future research into the effects of adaptations to… …and implementing this train driver agent will be lined out, from modelling to… …experimentation. 1.2 Problem In this project a train driver agent was to be developed in order to find… …driver behaviour to a micro-level simulator (FRISO), using an Agent based approach… 

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APA (6th Edition):

Tielman, W. L. (2015). An Agent-based Approach to Simulating Train Driver Behaviour. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/307355

Chicago Manual of Style (16th Edition):

Tielman, W L. “An Agent-based Approach to Simulating Train Driver Behaviour.” 2015. Masters Thesis, Universiteit Utrecht. Accessed March 07, 2021. http://dspace.library.uu.nl:8080/handle/1874/307355.

MLA Handbook (7th Edition):

Tielman, W L. “An Agent-based Approach to Simulating Train Driver Behaviour.” 2015. Web. 07 Mar 2021.

Vancouver:

Tielman WL. An Agent-based Approach to Simulating Train Driver Behaviour. [Internet] [Masters thesis]. Universiteit Utrecht; 2015. [cited 2021 Mar 07]. Available from: http://dspace.library.uu.nl:8080/handle/1874/307355.

Council of Science Editors:

Tielman WL. An Agent-based Approach to Simulating Train Driver Behaviour. [Masters Thesis]. Universiteit Utrecht; 2015. Available from: http://dspace.library.uu.nl:8080/handle/1874/307355

28. Mao, Huiying. Optimal Driver Risk Modeling.

Degree: PhD, Statistics, 2019, Virginia Tech

 When riding in a vehicle, it is common to have personal judgement about whether the driver is safe or risky. The drivers’ behavior may affect… (more)

Subjects/Keywords: Decision-adjusted Modeling; Driver Risk; Kinematic; Naturalistic Driving Study; Rare Events; Traffic Safety

…precise and optimal driver risk modeling procedure using the multi-dimensional and large-scale… …modeling Statistical modeling and analysis of driver-related data plays an important role for… …27 2.5 e − β, b for SHRP 2 driver data 31 Correction magnitude of regression coefficients… …SHRP 2 driver data… …31 2.7 g − RR, d for SHRP 2 driver data . . . Correction magnitude of rate ratios, RR 32… 

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APA (6th Edition):

Mao, H. (2019). Optimal Driver Risk Modeling. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/93211

Chicago Manual of Style (16th Edition):

Mao, Huiying. “Optimal Driver Risk Modeling.” 2019. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/93211.

MLA Handbook (7th Edition):

Mao, Huiying. “Optimal Driver Risk Modeling.” 2019. Web. 07 Mar 2021.

Vancouver:

Mao H. Optimal Driver Risk Modeling. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/93211.

Council of Science Editors:

Mao H. Optimal Driver Risk Modeling. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/93211

29. Borra, Venkata Shesha Vamsi. Design and Modeling of High Performance LED Dimming Driver with Reduced CurrentSpikes using Turn-On Snubber across Power MOSFET.

Degree: MSin Engineering, Department of Electrical and Computer Engineering, 2014, Youngstown State University

 The LEVEL-3 power MOSFET SPICE model (IRF034) is used to design and model the LED driver. Three LED drivers are designed and their efficiency values… (more)

Subjects/Keywords: Electrical Engineering; Dimming; Pulse Width Modulation; LED Driver; Modeling; PSpice; MOSFET; Snubber circuit; efficiency

…58 Figure 42: Driver Circuit 2 modeling OSLON LA H9GP… …PWM). This thesis inclines towards designing and modeling an LED dimming driver using… …efficiency of the driver circuit is discussed in terms of modeling the LEDs SPICE parameters to… …for designing the LED driver and modeling the diode SPICE models. 12 2.2.1 Diode SPICE… …semiconductors is included in the LED modeling to estimate the real efficiency of the designed driver… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Borra, V. S. V. (2014). Design and Modeling of High Performance LED Dimming Driver with Reduced CurrentSpikes using Turn-On Snubber across Power MOSFET. (Masters Thesis). Youngstown State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ysu1402958388

Chicago Manual of Style (16th Edition):

Borra, Venkata Shesha Vamsi. “Design and Modeling of High Performance LED Dimming Driver with Reduced CurrentSpikes using Turn-On Snubber across Power MOSFET.” 2014. Masters Thesis, Youngstown State University. Accessed March 07, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1402958388.

MLA Handbook (7th Edition):

Borra, Venkata Shesha Vamsi. “Design and Modeling of High Performance LED Dimming Driver with Reduced CurrentSpikes using Turn-On Snubber across Power MOSFET.” 2014. Web. 07 Mar 2021.

Vancouver:

Borra VSV. Design and Modeling of High Performance LED Dimming Driver with Reduced CurrentSpikes using Turn-On Snubber across Power MOSFET. [Internet] [Masters thesis]. Youngstown State University; 2014. [cited 2021 Mar 07]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ysu1402958388.

Council of Science Editors:

Borra VSV. Design and Modeling of High Performance LED Dimming Driver with Reduced CurrentSpikes using Turn-On Snubber across Power MOSFET. [Masters Thesis]. Youngstown State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ysu1402958388


Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

30. Πάνου, Μαρία. Προηγμένο σύστημα εξατομικευμένης πληροφόρησης και προειδοποίησης των μετακινουμένων.

Degree: 2007, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

 Several studies on the use of web services and specifically those related to infomobility services, prove their fast penetration to the market and foresee their… (more)

Subjects/Keywords: Μοντελοποίηση συμπεριφοράς οδηγού; Προσωποποιημένοι αλγόριθμοι ΣΣΥΟ προειδοποίησης οδηγών; Προσωποποιημένοι αλγόριθμοι πληροφόρησης μετακινουμένων; Εξατομικευμένο σύστημα προειδοποίησης οδηγών; Εξατομικευμένο σύστημα πληροφόρησης μετακινουμένων; Driver behaviour modeling; Personalised drivers warning algorithms; Personalised travellers information algorithms; Personalised drivers warning system; Personalised travellers information system

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Πάνου, . . (2007). Προηγμένο σύστημα εξατομικευμένης πληροφόρησης και προειδοποίησης των μετακινουμένων. (Thesis). Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Retrieved from http://hdl.handle.net/10442/hedi/20593

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):

Πάνου, Μαρία. “Προηγμένο σύστημα εξατομικευμένης πληροφόρησης και προειδοποίησης των μετακινουμένων.” 2007. Thesis, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Accessed March 07, 2021. http://hdl.handle.net/10442/hedi/20593.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Πάνου, Μαρία. “Προηγμένο σύστημα εξατομικευμένης πληροφόρησης και προειδοποίησης των μετακινουμένων.” 2007. Web. 07 Mar 2021.

Vancouver:

Πάνου . Προηγμένο σύστημα εξατομικευμένης πληροφόρησης και προειδοποίησης των μετακινουμένων. [Internet] [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2007. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10442/hedi/20593.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Πάνου . Προηγμένο σύστημα εξατομικευμένης πληροφόρησης και προειδοποίησης των μετακινουμένων. [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2007. Available from: http://hdl.handle.net/10442/hedi/20593

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.