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You searched for subject:(driver behaviour). Showing records 1 – 30 of 190 total matches.

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University of South Africa

1. Solomon, Cleshain Theodore. Driver attention and behaviour monitoring with the Microsoft Kinect sensor .

Degree: 2015, University of South Africa

 Modern vehicles are designed to protect occupants in the event of a crash with some vehicles better at this than others. However, passenger protection during… (more)

Subjects/Keywords: Kinect; Driver fatigue; Driver behaviour; Driver distraction; Behaviour detection; Driver attention; Behaviour monitoring; Feature extraction; Face detection

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APA (6th Edition):

Solomon, C. T. (2015). Driver attention and behaviour monitoring with the Microsoft Kinect sensor . (Masters Thesis). University of South Africa. Retrieved from http://hdl.handle.net/10500/21798

Chicago Manual of Style (16th Edition):

Solomon, Cleshain Theodore. “Driver attention and behaviour monitoring with the Microsoft Kinect sensor .” 2015. Masters Thesis, University of South Africa. Accessed March 07, 2021. http://hdl.handle.net/10500/21798.

MLA Handbook (7th Edition):

Solomon, Cleshain Theodore. “Driver attention and behaviour monitoring with the Microsoft Kinect sensor .” 2015. Web. 07 Mar 2021.

Vancouver:

Solomon CT. Driver attention and behaviour monitoring with the Microsoft Kinect sensor . [Internet] [Masters thesis]. University of South Africa; 2015. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10500/21798.

Council of Science Editors:

Solomon CT. Driver attention and behaviour monitoring with the Microsoft Kinect sensor . [Masters Thesis]. University of South Africa; 2015. Available from: http://hdl.handle.net/10500/21798


University of Waterloo

2. Ou, Chaojie. Deep Learning-based Driver Behavior Modeling and Analysis.

Degree: 2019, University of Waterloo

 Driving safety continues receiving widespread attention from car designers, safety regulators, and automotive research community as driving accidents due to driver distraction or fatigue have… (more)

Subjects/Keywords: driver behavior; deep learning

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APA (6th Edition):

Ou, C. (2019). Deep Learning-based Driver Behavior Modeling and Analysis. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/15334

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):

Ou, Chaojie. “Deep Learning-based Driver Behavior Modeling and Analysis.” 2019. Thesis, University of Waterloo. Accessed March 07, 2021. http://hdl.handle.net/10012/15334.

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

MLA Handbook (7th Edition):

Ou, Chaojie. “Deep Learning-based Driver Behavior Modeling and Analysis.” 2019. Web. 07 Mar 2021.

Vancouver:

Ou C. Deep Learning-based Driver Behavior Modeling and Analysis. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10012/15334.

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

Council of Science Editors:

Ou C. Deep Learning-based Driver Behavior Modeling and Analysis. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/15334

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


McMaster University

3. Dou, Yangliu. DRIVER BEHAVIOUR PREDICTION MODELS USING ARTIFICIAL INTELLIGENCE ALGORITHMS AND STATISTICAL MODELING.

Degree: PhD, 2019, McMaster University

To improve the safety and comfort of intelligent vehicles, advanced driver models offer promising solutions. However, several shortcomings of these models prevent them from being… (more)

Subjects/Keywords: DRIVER BEHAVIOUR PREDICTION MODELS; ARTIFICIAL INTELLIGENCE ALGORITHMS

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APA (6th Edition):

Dou, Y. (2019). DRIVER BEHAVIOUR PREDICTION MODELS USING ARTIFICIAL INTELLIGENCE ALGORITHMS AND STATISTICAL MODELING. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/24195

Chicago Manual of Style (16th Edition):

Dou, Yangliu. “DRIVER BEHAVIOUR PREDICTION MODELS USING ARTIFICIAL INTELLIGENCE ALGORITHMS AND STATISTICAL MODELING.” 2019. Doctoral Dissertation, McMaster University. Accessed March 07, 2021. http://hdl.handle.net/11375/24195.

MLA Handbook (7th Edition):

Dou, Yangliu. “DRIVER BEHAVIOUR PREDICTION MODELS USING ARTIFICIAL INTELLIGENCE ALGORITHMS AND STATISTICAL MODELING.” 2019. Web. 07 Mar 2021.

Vancouver:

Dou Y. DRIVER BEHAVIOUR PREDICTION MODELS USING ARTIFICIAL INTELLIGENCE ALGORITHMS AND STATISTICAL MODELING. [Internet] [Doctoral dissertation]. McMaster University; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11375/24195.

Council of Science Editors:

Dou Y. DRIVER BEHAVIOUR PREDICTION MODELS USING ARTIFICIAL INTELLIGENCE ALGORITHMS AND STATISTICAL MODELING. [Doctoral Dissertation]. McMaster University; 2019. Available from: http://hdl.handle.net/11375/24195


Cranfield University

4. Anuar, Nur Khairiel. The impact of airport road wayfinding design on senior driver behaviour.

Degree: PhD, 2016, Cranfield University

 Airport road access wayfinding refers to a process in which a driver makes a decision to navigate using information support systems in order to arrive… (more)

Subjects/Keywords: Wayfinding; Airport; Senior driver; Driving behaviour; Simulation

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APA (6th Edition):

Anuar, N. K. (2016). The impact of airport road wayfinding design on senior driver behaviour. (Doctoral Dissertation). Cranfield University. Retrieved from http://dspace.lib.cranfield.ac.uk/handle/1826/11806

Chicago Manual of Style (16th Edition):

Anuar, Nur Khairiel. “The impact of airport road wayfinding design on senior driver behaviour.” 2016. Doctoral Dissertation, Cranfield University. Accessed March 07, 2021. http://dspace.lib.cranfield.ac.uk/handle/1826/11806.

MLA Handbook (7th Edition):

Anuar, Nur Khairiel. “The impact of airport road wayfinding design on senior driver behaviour.” 2016. Web. 07 Mar 2021.

Vancouver:

Anuar NK. The impact of airport road wayfinding design on senior driver behaviour. [Internet] [Doctoral dissertation]. Cranfield University; 2016. [cited 2021 Mar 07]. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/11806.

Council of Science Editors:

Anuar NK. The impact of airport road wayfinding design on senior driver behaviour. [Doctoral Dissertation]. Cranfield University; 2016. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/11806


University of Lund

5. Larsson, Annika. Automation and the nature of driving - The effect of adaptive cruise control on drivers' tactical driving decisions.

Degree: 2013, University of Lund

 Advanced driving assistance systems that offer support by operating for example longitudinal control will have an effect on the transport system. Previous studies have also… (more)

Subjects/Keywords: Infrastructure Engineering; Tactical driving behaviour; Driver experience; Field Operational Test; Active steering; Simulator; Driver behaviour

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APA (6th Edition):

Larsson, A. (2013). Automation and the nature of driving - The effect of adaptive cruise control on drivers' tactical driving decisions. (Doctoral Dissertation). University of Lund. Retrieved from https://lup.lub.lu.se/record/4025423 ; https://portal.research.lu.se/ws/files/5375171/4025428.pdf

Chicago Manual of Style (16th Edition):

Larsson, Annika. “Automation and the nature of driving - The effect of adaptive cruise control on drivers' tactical driving decisions.” 2013. Doctoral Dissertation, University of Lund. Accessed March 07, 2021. https://lup.lub.lu.se/record/4025423 ; https://portal.research.lu.se/ws/files/5375171/4025428.pdf.

MLA Handbook (7th Edition):

Larsson, Annika. “Automation and the nature of driving - The effect of adaptive cruise control on drivers' tactical driving decisions.” 2013. Web. 07 Mar 2021.

Vancouver:

Larsson A. Automation and the nature of driving - The effect of adaptive cruise control on drivers' tactical driving decisions. [Internet] [Doctoral dissertation]. University of Lund; 2013. [cited 2021 Mar 07]. Available from: https://lup.lub.lu.se/record/4025423 ; https://portal.research.lu.se/ws/files/5375171/4025428.pdf.

Council of Science Editors:

Larsson A. Automation and the nature of driving - The effect of adaptive cruise control on drivers' tactical driving decisions. [Doctoral Dissertation]. University of Lund; 2013. Available from: https://lup.lub.lu.se/record/4025423 ; https://portal.research.lu.se/ws/files/5375171/4025428.pdf


Ohio University

6. Toussant, Erica A. Analyzing the Impacts of Driver Familiarity/Unfamiliarity at Roundabouts.

Degree: MS, Civil Engineering (Engineering and Technology), 2016, Ohio University

 The number of roundabouts has increased substantially throughout the United States, but many people remain unfamiliar about their operations. This study was conducted to determine… (more)

Subjects/Keywords: Civil Engineering; roundabout; driver; behavior; VISSIM

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APA (6th Edition):

Toussant, E. A. (2016). Analyzing the Impacts of Driver Familiarity/Unfamiliarity at Roundabouts. (Masters Thesis). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1451907184

Chicago Manual of Style (16th Edition):

Toussant, Erica A. “Analyzing the Impacts of Driver Familiarity/Unfamiliarity at Roundabouts.” 2016. Masters Thesis, Ohio University. Accessed March 07, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1451907184.

MLA Handbook (7th Edition):

Toussant, Erica A. “Analyzing the Impacts of Driver Familiarity/Unfamiliarity at Roundabouts.” 2016. Web. 07 Mar 2021.

Vancouver:

Toussant EA. Analyzing the Impacts of Driver Familiarity/Unfamiliarity at Roundabouts. [Internet] [Masters thesis]. Ohio University; 2016. [cited 2021 Mar 07]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1451907184.

Council of Science Editors:

Toussant EA. Analyzing the Impacts of Driver Familiarity/Unfamiliarity at Roundabouts. [Masters Thesis]. Ohio University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1451907184


Delft University of Technology

7. 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 Toronto

8. Stahl, Patrick. Defining, Investigating and Supporting Anticipatory Driving - A Systematic Investigation of the Competence to Predict Traffic.

Degree: PhD, 2015, University of Toronto

 Driving research shows safety and economic benefits of anticipatory competence. While the literature recognizes the notion of anticipation, it has not yet operationalized the construct.… (more)

Subjects/Keywords: Anticipation; Driver Behaviour; Driver Experience; Driving Simulator; In-Vehicle Displays; Novice Drivers; 0546

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APA (6th Edition):

Stahl, P. (2015). Defining, Investigating and Supporting Anticipatory Driving - A Systematic Investigation of the Competence to Predict Traffic. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/79728

Chicago Manual of Style (16th Edition):

Stahl, Patrick. “Defining, Investigating and Supporting Anticipatory Driving - A Systematic Investigation of the Competence to Predict Traffic.” 2015. Doctoral Dissertation, University of Toronto. Accessed March 07, 2021. http://hdl.handle.net/1807/79728.

MLA Handbook (7th Edition):

Stahl, Patrick. “Defining, Investigating and Supporting Anticipatory Driving - A Systematic Investigation of the Competence to Predict Traffic.” 2015. Web. 07 Mar 2021.

Vancouver:

Stahl P. Defining, Investigating and Supporting Anticipatory Driving - A Systematic Investigation of the Competence to Predict Traffic. [Internet] [Doctoral dissertation]. University of Toronto; 2015. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1807/79728.

Council of Science Editors:

Stahl P. Defining, Investigating and Supporting Anticipatory Driving - A Systematic Investigation of the Competence to Predict Traffic. [Doctoral Dissertation]. University of Toronto; 2015. Available from: http://hdl.handle.net/1807/79728


New Jersey Institute of Technology

9. Yang, Jing. Driver behavior classification and lateral control for automobile safety systems.

Degree: PhD, Electrical and Computer Engineering, 2012, New Jersey Institute of Technology

  Advanced driver assistance systems (ADAS) have been developed to help drivers maintain stability, improve road safety, and avoid potential collision. The data acquisition equipment… (more)

Subjects/Keywords: Vehicle control; Lateral control; Driver behavior classification; Advanced driver assistance systems; Vehicle dynamics; Driver safety; Electrical and Electronics

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APA (6th Edition):

Yang, J. (2012). Driver behavior classification and lateral control for automobile safety systems. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/303

Chicago Manual of Style (16th Edition):

Yang, Jing. “Driver behavior classification and lateral control for automobile safety systems.” 2012. Doctoral Dissertation, New Jersey Institute of Technology. Accessed March 07, 2021. https://digitalcommons.njit.edu/dissertations/303.

MLA Handbook (7th Edition):

Yang, Jing. “Driver behavior classification and lateral control for automobile safety systems.” 2012. Web. 07 Mar 2021.

Vancouver:

Yang J. Driver behavior classification and lateral control for automobile safety systems. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2012. [cited 2021 Mar 07]. Available from: https://digitalcommons.njit.edu/dissertations/303.

Council of Science Editors:

Yang J. Driver behavior classification and lateral control for automobile safety systems. [Doctoral Dissertation]. New Jersey Institute of Technology; 2012. Available from: https://digitalcommons.njit.edu/dissertations/303


University of Michigan

10. 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


University of Minnesota

11. Peterson, Colleen. The Decision To Speed In the United States – A Mixed Methods Study.

Degree: PhD, Epidemiology, 2020, University of Minnesota

 Speeding remains a major and consistent cause of U.S. roadway fatalities. The current research used a mixed methods approach to build a more comprehensive understanding… (more)

Subjects/Keywords: driver attitude; driver behavior; latent class analysis; mixed methods; qualitative analysis; roadway safety

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APA (6th Edition):

Peterson, C. (2020). The Decision To Speed In the United States – A Mixed Methods Study. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/216118

Chicago Manual of Style (16th Edition):

Peterson, Colleen. “The Decision To Speed In the United States – A Mixed Methods Study.” 2020. Doctoral Dissertation, University of Minnesota. Accessed March 07, 2021. http://hdl.handle.net/11299/216118.

MLA Handbook (7th Edition):

Peterson, Colleen. “The Decision To Speed In the United States – A Mixed Methods Study.” 2020. Web. 07 Mar 2021.

Vancouver:

Peterson C. The Decision To Speed In the United States – A Mixed Methods Study. [Internet] [Doctoral dissertation]. University of Minnesota; 2020. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11299/216118.

Council of Science Editors:

Peterson C. The Decision To Speed In the United States – A Mixed Methods Study. [Doctoral Dissertation]. University of Minnesota; 2020. Available from: http://hdl.handle.net/11299/216118


University of Toronto

12. He, Dengbo. Understanding and Supporting Anticipatory Driving in Automated Vehicles.

Degree: PhD, 2020, University of Toronto

 With state-of-the-art driving automation technology available to the public (i.e., SAE Level 2 driving automation), drivers no longer need to control the vehicle continuously, but… (more)

Subjects/Keywords: Driver behavior; Driver distraction; Driving automation; Driving simulator; Experience; Visual attention; 0546

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APA (6th Edition):

He, D. (2020). Understanding and Supporting Anticipatory Driving in Automated Vehicles. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/103691

Chicago Manual of Style (16th Edition):

He, Dengbo. “Understanding and Supporting Anticipatory Driving in Automated Vehicles.” 2020. Doctoral Dissertation, University of Toronto. Accessed March 07, 2021. http://hdl.handle.net/1807/103691.

MLA Handbook (7th Edition):

He, Dengbo. “Understanding and Supporting Anticipatory Driving in Automated Vehicles.” 2020. Web. 07 Mar 2021.

Vancouver:

He D. Understanding and Supporting Anticipatory Driving in Automated Vehicles. [Internet] [Doctoral dissertation]. University of Toronto; 2020. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1807/103691.

Council of Science Editors:

He D. Understanding and Supporting Anticipatory Driving in Automated Vehicles. [Doctoral Dissertation]. University of Toronto; 2020. Available from: http://hdl.handle.net/1807/103691


University of Alberta

13. Luo,Ying. Asymmetric Driver Behaviour-Based Algorithms for Estimating Real-Time Freeway Operational Capacity.

Degree: MS, Department of Civil and Environmental Engineering, 2013, University of Alberta

 To mitigate recurrent and non-recurrent congestion, and to make full use of limited roadway capacity, numerous Active Traffic Demand Management (ATDM) strategies have been proposed,… (more)

Subjects/Keywords: Asymmetric Driver Behaviour; Variable Speed Limit; Bottleneck capacity drop

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APA (6th Edition):

Luo,Ying. (2013). Asymmetric Driver Behaviour-Based Algorithms for Estimating Real-Time Freeway Operational Capacity. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/gx41mj85m

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Luo,Ying. “Asymmetric Driver Behaviour-Based Algorithms for Estimating Real-Time Freeway Operational Capacity.” 2013. Masters Thesis, University of Alberta. Accessed March 07, 2021. https://era.library.ualberta.ca/files/gx41mj85m.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Luo,Ying. “Asymmetric Driver Behaviour-Based Algorithms for Estimating Real-Time Freeway Operational Capacity.” 2013. Web. 07 Mar 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Luo,Ying. Asymmetric Driver Behaviour-Based Algorithms for Estimating Real-Time Freeway Operational Capacity. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2021 Mar 07]. Available from: https://era.library.ualberta.ca/files/gx41mj85m.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Luo,Ying. Asymmetric Driver Behaviour-Based Algorithms for Estimating Real-Time Freeway Operational Capacity. [Masters Thesis]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/gx41mj85m

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


Linnaeus University

14. Thamel, Prasadini. Classification of Articulated hauler braking behaviours.

Degree: Mechanical Engineering, 2019, Linnaeus University

  This study is performed to identify the customer braking behaviors of Articulated haulers. The data files from the different customer sites are used to… (more)

Subjects/Keywords: Emergency braking; Driver braking behaviour; Active Hazard braking; Mechanical Engineering; Maskinteknik

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APA (6th Edition):

Thamel, P. (2019). Classification of Articulated hauler braking behaviours. (Thesis). Linnaeus University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-95146

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):

Thamel, Prasadini. “Classification of Articulated hauler braking behaviours.” 2019. Thesis, Linnaeus University. Accessed March 07, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-95146.

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

MLA Handbook (7th Edition):

Thamel, Prasadini. “Classification of Articulated hauler braking behaviours.” 2019. Web. 07 Mar 2021.

Vancouver:

Thamel P. Classification of Articulated hauler braking behaviours. [Internet] [Thesis]. Linnaeus University; 2019. [cited 2021 Mar 07]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-95146.

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

Council of Science Editors:

Thamel P. Classification of Articulated hauler braking behaviours. [Thesis]. Linnaeus University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-95146

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

15. Gouda, Satish Kumar. Driver and Traffic Impact on Battery Electric Vehicle Driving Range .

Degree: Chalmers tekniska högskola / Institutionen för mekanik och maritima vetenskaper, 2020, Chalmers University of Technology

 The energy consumption and driving range of a Battery Electric Vehicle (BEV) is determined from tests on a chassis dynamometer under standardized conditions. However, when… (more)

Subjects/Keywords: Battery Electric Vehicle; Energy consumption, Traffic situation; driver behaviour; SUMO; CarMaker

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APA (6th Edition):

Gouda, S. K. (2020). Driver and Traffic Impact on Battery Electric Vehicle Driving Range . (Thesis). Chalmers University of Technology. Retrieved from http://hdl.handle.net/20.500.12380/302150

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):

Gouda, Satish Kumar. “Driver and Traffic Impact on Battery Electric Vehicle Driving Range .” 2020. Thesis, Chalmers University of Technology. Accessed March 07, 2021. http://hdl.handle.net/20.500.12380/302150.

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

MLA Handbook (7th Edition):

Gouda, Satish Kumar. “Driver and Traffic Impact on Battery Electric Vehicle Driving Range .” 2020. Web. 07 Mar 2021.

Vancouver:

Gouda SK. Driver and Traffic Impact on Battery Electric Vehicle Driving Range . [Internet] [Thesis]. Chalmers University of Technology; 2020. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/20.500.12380/302150.

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

Council of Science Editors:

Gouda SK. Driver and Traffic Impact on Battery Electric Vehicle Driving Range . [Thesis]. Chalmers University of Technology; 2020. Available from: http://hdl.handle.net/20.500.12380/302150

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


University of Cambridge

16. Skrypchuk, Lee. Investigating and Characterising the Impact of Vehicle Interfaces on Situation Awareness.

Degree: PhD, 2020, University of Cambridge

 The modern-day vehicle hosts a complex environment where competing goals challenge the act of driving. Drivers may pursue Non-Driving Related Activities (NDRAs), resulting in multitasking.… (more)

Subjects/Keywords: Situation Awareness; Human Machine Interface; Driver Behaviour; System Design; Automotive

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APA (6th Edition):

Skrypchuk, L. (2020). Investigating and Characterising the Impact of Vehicle Interfaces on Situation Awareness. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/307921

Chicago Manual of Style (16th Edition):

Skrypchuk, Lee. “Investigating and Characterising the Impact of Vehicle Interfaces on Situation Awareness.” 2020. Doctoral Dissertation, University of Cambridge. Accessed March 07, 2021. https://www.repository.cam.ac.uk/handle/1810/307921.

MLA Handbook (7th Edition):

Skrypchuk, Lee. “Investigating and Characterising the Impact of Vehicle Interfaces on Situation Awareness.” 2020. Web. 07 Mar 2021.

Vancouver:

Skrypchuk L. Investigating and Characterising the Impact of Vehicle Interfaces on Situation Awareness. [Internet] [Doctoral dissertation]. University of Cambridge; 2020. [cited 2021 Mar 07]. Available from: https://www.repository.cam.ac.uk/handle/1810/307921.

Council of Science Editors:

Skrypchuk L. Investigating and Characterising the Impact of Vehicle Interfaces on Situation Awareness. [Doctoral Dissertation]. University of Cambridge; 2020. Available from: https://www.repository.cam.ac.uk/handle/1810/307921


University of Helsinki

17. Mattsson, Markus. The measurement invariance of the Driver Behavior Questionnaire across samples of young drivers from Finland and Ireland.

Degree: Institute of Behavioural Sciences; Helsingfors universitet, Beteendevetenskapliga fakulteten, Institutionen för beteendevetenskaper, 2015, University of Helsinki

 Tässä pro gradu –työssä tarkastellaan liikennepsykologiassa ehkä eniten käytetyn kyselyinstrumentin, Driver Behaviour Questionnaire DBQ:n mittausinvarianssia suomalaisten ja irlantilaisten nuorten kuljettajien (18–25 v.) otoksissa. DBQ on… (more)

Subjects/Keywords: Driver Behavior Questionnaire; DBQ; konfirmatorinen faktorianalyysi; CFA; mittausinvarianssianalyysi; Psychology; Psykologia; Psykologi; Driver Behavior Questionnaire; DBQ; konfirmatorinen faktorianalyysi; CFA; mittausinvarianssianalyysi

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

APA (6th Edition):

Mattsson, M. (2015). The measurement invariance of the Driver Behavior Questionnaire across samples of young drivers from Finland and Ireland. (Masters Thesis). University of Helsinki. Retrieved from http://hdl.handle.net/10138/154955

Chicago Manual of Style (16th Edition):

Mattsson, Markus. “The measurement invariance of the Driver Behavior Questionnaire across samples of young drivers from Finland and Ireland.” 2015. Masters Thesis, University of Helsinki. Accessed March 07, 2021. http://hdl.handle.net/10138/154955.

MLA Handbook (7th Edition):

Mattsson, Markus. “The measurement invariance of the Driver Behavior Questionnaire across samples of young drivers from Finland and Ireland.” 2015. Web. 07 Mar 2021.

Vancouver:

Mattsson M. The measurement invariance of the Driver Behavior Questionnaire across samples of young drivers from Finland and Ireland. [Internet] [Masters thesis]. University of Helsinki; 2015. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10138/154955.

Council of Science Editors:

Mattsson M. The measurement invariance of the Driver Behavior Questionnaire across samples of young drivers from Finland and Ireland. [Masters Thesis]. University of Helsinki; 2015. Available from: http://hdl.handle.net/10138/154955


Loughborough University

18. Macdonald-Ames, Sandra. How do emergency vehicle markings and warning systems influence the interaction between emergency and civilian drivers?.

Degree: PhD, 2020, Loughborough University

 AIM. The primary aim of the research presented in this thesis was to establish if emergency vehicle markings and warning systems influenced the way in… (more)

Subjects/Keywords: Police driving; Driver Behaviour; Driver panic; Blue Light; Emergency driving; Emergency services; Fire Service driving; Ambulance driving

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APA (6th Edition):

Macdonald-Ames, S. (2020). How do emergency vehicle markings and warning systems influence the interaction between emergency and civilian drivers?. (Doctoral Dissertation). Loughborough University. Retrieved from https://doi.org/10.26174/thesis.lboro.12811739.v1 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.820005

Chicago Manual of Style (16th Edition):

Macdonald-Ames, Sandra. “How do emergency vehicle markings and warning systems influence the interaction between emergency and civilian drivers?.” 2020. Doctoral Dissertation, Loughborough University. Accessed March 07, 2021. https://doi.org/10.26174/thesis.lboro.12811739.v1 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.820005.

MLA Handbook (7th Edition):

Macdonald-Ames, Sandra. “How do emergency vehicle markings and warning systems influence the interaction between emergency and civilian drivers?.” 2020. Web. 07 Mar 2021.

Vancouver:

Macdonald-Ames S. How do emergency vehicle markings and warning systems influence the interaction between emergency and civilian drivers?. [Internet] [Doctoral dissertation]. Loughborough University; 2020. [cited 2021 Mar 07]. Available from: https://doi.org/10.26174/thesis.lboro.12811739.v1 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.820005.

Council of Science Editors:

Macdonald-Ames S. How do emergency vehicle markings and warning systems influence the interaction between emergency and civilian drivers?. [Doctoral Dissertation]. Loughborough University; 2020. Available from: https://doi.org/10.26174/thesis.lboro.12811739.v1 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.820005


University of Utah

19. Taylor, Jeffrey D. Computational methods for investigating intradriver heterogeneity using vehicle trajectory data.

Degree: MS, Civil & Environmental Engineering, 2014, University of Utah

 Traffic simulations, which attempt to describe how individual vehicles move on road segments in a network, rely on mathematical traffic flow models developed from empirical… (more)

Subjects/Keywords: Car following model; Driver behavior; Dynamic time warping; Heterogeneity; NGSIM

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

APA (6th Edition):

Taylor, J. D. (2014). Computational methods for investigating intradriver heterogeneity using vehicle trajectory data. (Masters Thesis). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3159/rec/527

Chicago Manual of Style (16th Edition):

Taylor, Jeffrey D. “Computational methods for investigating intradriver heterogeneity using vehicle trajectory data.” 2014. Masters Thesis, University of Utah. Accessed March 07, 2021. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3159/rec/527.

MLA Handbook (7th Edition):

Taylor, Jeffrey D. “Computational methods for investigating intradriver heterogeneity using vehicle trajectory data.” 2014. Web. 07 Mar 2021.

Vancouver:

Taylor JD. Computational methods for investigating intradriver heterogeneity using vehicle trajectory data. [Internet] [Masters thesis]. University of Utah; 2014. [cited 2021 Mar 07]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3159/rec/527.

Council of Science Editors:

Taylor JD. Computational methods for investigating intradriver heterogeneity using vehicle trajectory data. [Masters Thesis]. University of Utah; 2014. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3159/rec/527


Texas A&M University

20. Zhou, Zheren. Modeling and Verification of Naturalistic Lane Keeping System.

Degree: MS, Mechanical Engineering, 2016, Texas A&M University

 In order to lower human drivers’ driving load and to enhance their systematic performance during driving, driver assistant systems have been introduced during the past… (more)

Subjects/Keywords: Vehicle; Dynamic; Control; Lane keeping; Driver; Driving behavior; Naturalistic

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

APA (6th Edition):

Zhou, Z. (2016). Modeling and Verification of Naturalistic Lane Keeping System. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/158128

Chicago Manual of Style (16th Edition):

Zhou, Zheren. “Modeling and Verification of Naturalistic Lane Keeping System.” 2016. Masters Thesis, Texas A&M University. Accessed March 07, 2021. http://hdl.handle.net/1969.1/158128.

MLA Handbook (7th Edition):

Zhou, Zheren. “Modeling and Verification of Naturalistic Lane Keeping System.” 2016. Web. 07 Mar 2021.

Vancouver:

Zhou Z. Modeling and Verification of Naturalistic Lane Keeping System. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1969.1/158128.

Council of Science Editors:

Zhou Z. Modeling and Verification of Naturalistic Lane Keeping System. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/158128


Iowa State University

21. Kirsch, Trevor Joseph. An analysis of the crash risk and likelihood of engaging in a distraction while driving using naturalistic, time-series data.

Degree: 2018, Iowa State University

 Distracted driving has become a severe threat to traffic safety due in large part to the proliferation of in-vehicle smart technologies, the ubiquity of cell… (more)

Subjects/Keywords: crash risk; distracted; driver behavior; roadway geometrics; safety; time-series; Transportation

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APA (6th Edition):

Kirsch, T. J. (2018). An analysis of the crash risk and likelihood of engaging in a distraction while driving using naturalistic, time-series data. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/16392

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):

Kirsch, Trevor Joseph. “An analysis of the crash risk and likelihood of engaging in a distraction while driving using naturalistic, time-series data.” 2018. Thesis, Iowa State University. Accessed March 07, 2021. https://lib.dr.iastate.edu/etd/16392.

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

MLA Handbook (7th Edition):

Kirsch, Trevor Joseph. “An analysis of the crash risk and likelihood of engaging in a distraction while driving using naturalistic, time-series data.” 2018. Web. 07 Mar 2021.

Vancouver:

Kirsch TJ. An analysis of the crash risk and likelihood of engaging in a distraction while driving using naturalistic, time-series data. [Internet] [Thesis]. Iowa State University; 2018. [cited 2021 Mar 07]. Available from: https://lib.dr.iastate.edu/etd/16392.

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

Council of Science Editors:

Kirsch TJ. An analysis of the crash risk and likelihood of engaging in a distraction while driving using naturalistic, time-series data. [Thesis]. Iowa State University; 2018. Available from: https://lib.dr.iastate.edu/etd/16392

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

22. Negi, N.S. (author). Differences in steering behaviour between experts, experienced and novice drivers: A driving simulator study.

Degree: 2013, Delft University of Technology

Through the years of automotive development driving safety has been one of the primary areas of concern. Inappropriate driver behaviour and insufficient driving skill are… (more)

Subjects/Keywords: steering behavior; driver simulator

…the differences in driver skill level and variations in driver control behavior and use this… …aims at focusing on driver behavior in conditions involving extreme steering and loss of… …driver behavior during driving tasks like lane change and cornering. Performance of novice… …tasks. In the context of driving behavior, a novice driver is one who is familiar with the… …x28;2007), line jump scenario to investigate driver steering behavior during sudden… 

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APA (6th Edition):

Negi, N. S. (. (2013). Differences in steering behaviour between experts, experienced and novice drivers: A driving simulator study. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:eaf3000c-13dd-4c97-aa2c-3cf0a016a3c1

Chicago Manual of Style (16th Edition):

Negi, N S (author). “Differences in steering behaviour between experts, experienced and novice drivers: A driving simulator study.” 2013. Masters Thesis, Delft University of Technology. Accessed March 07, 2021. http://resolver.tudelft.nl/uuid:eaf3000c-13dd-4c97-aa2c-3cf0a016a3c1.

MLA Handbook (7th Edition):

Negi, N S (author). “Differences in steering behaviour between experts, experienced and novice drivers: A driving simulator study.” 2013. Web. 07 Mar 2021.

Vancouver:

Negi NS(. Differences in steering behaviour between experts, experienced and novice drivers: A driving simulator study. [Internet] [Masters thesis]. Delft University of Technology; 2013. [cited 2021 Mar 07]. Available from: http://resolver.tudelft.nl/uuid:eaf3000c-13dd-4c97-aa2c-3cf0a016a3c1.

Council of Science Editors:

Negi NS(. Differences in steering behaviour between experts, experienced and novice drivers: A driving simulator study. [Masters Thesis]. Delft University of Technology; 2013. Available from: http://resolver.tudelft.nl/uuid:eaf3000c-13dd-4c97-aa2c-3cf0a016a3c1


East Tennessee State University

23. Sims, Brian K. Driving and Thriving: School Bus Drivers and the Behavior Management Strategies They Use.

Degree: EdD (Doctor of Education), Educational Leadership, 2014, East Tennessee State University

  The purpose of this study was first to determine the satisfaction level of bus drivers pertaining to school building administration, transportation department, and student… (more)

Subjects/Keywords: bus driver; student transportation; behavior management strategy; school bus; Educational Leadership

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APA (6th Edition):

Sims, B. K. (2014). Driving and Thriving: School Bus Drivers and the Behavior Management Strategies They Use. (Thesis). East Tennessee State University. Retrieved from https://dc.etsu.edu/etd/2423

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):

Sims, Brian K. “Driving and Thriving: School Bus Drivers and the Behavior Management Strategies They Use.” 2014. Thesis, East Tennessee State University. Accessed March 07, 2021. https://dc.etsu.edu/etd/2423.

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

MLA Handbook (7th Edition):

Sims, Brian K. “Driving and Thriving: School Bus Drivers and the Behavior Management Strategies They Use.” 2014. Web. 07 Mar 2021.

Vancouver:

Sims BK. Driving and Thriving: School Bus Drivers and the Behavior Management Strategies They Use. [Internet] [Thesis]. East Tennessee State University; 2014. [cited 2021 Mar 07]. Available from: https://dc.etsu.edu/etd/2423.

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

Council of Science Editors:

Sims BK. Driving and Thriving: School Bus Drivers and the Behavior Management Strategies They Use. [Thesis]. East Tennessee State University; 2014. Available from: https://dc.etsu.edu/etd/2423

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


University of Minnesota

24. Chatterjee, Indrajit. Understanding Driver Contributions to Rear-End Crashes on Congested Freeways and their Implications for Future Safety Measures.

Degree: PhD, Civil Engineering, 2016, University of Minnesota

 Empirical evidence for occurrences of shockwaves as a primary cause of rear-end crashes on freeways is well documented in the transportation safety literature. However, existing… (more)

Subjects/Keywords: autonomous vehicles; crash; driver behavior; liability policy; rear-end

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APA (6th Edition):

Chatterjee, I. (2016). Understanding Driver Contributions to Rear-End Crashes on Congested Freeways and their Implications for Future Safety Measures. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/181704

Chicago Manual of Style (16th Edition):

Chatterjee, Indrajit. “Understanding Driver Contributions to Rear-End Crashes on Congested Freeways and their Implications for Future Safety Measures.” 2016. Doctoral Dissertation, University of Minnesota. Accessed March 07, 2021. http://hdl.handle.net/11299/181704.

MLA Handbook (7th Edition):

Chatterjee, Indrajit. “Understanding Driver Contributions to Rear-End Crashes on Congested Freeways and their Implications for Future Safety Measures.” 2016. Web. 07 Mar 2021.

Vancouver:

Chatterjee I. Understanding Driver Contributions to Rear-End Crashes on Congested Freeways and their Implications for Future Safety Measures. [Internet] [Doctoral dissertation]. University of Minnesota; 2016. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11299/181704.

Council of Science Editors:

Chatterjee I. Understanding Driver Contributions to Rear-End Crashes on Congested Freeways and their Implications for Future Safety Measures. [Doctoral Dissertation]. University of Minnesota; 2016. Available from: http://hdl.handle.net/11299/181704


University of Tennessee – Knoxville

25. Bartnik, Bryan Andre. Driver Behavior at Railway-Highway Grade Crossings with Passive Traffic Control: A Driving Simulator Study.

Degree: MS, Civil Engineering, 2013, University of Tennessee – Knoxville

  Research to evaluate driver behavior at railway-highway grade crossings with passive traffic control attempts to find an answer to a much debated subject. This… (more)

Subjects/Keywords: Driver Behavior Passive Grade Crossing Simulator; Civil Engineering

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APA (6th Edition):

Bartnik, B. A. (2013). Driver Behavior at Railway-Highway Grade Crossings with Passive Traffic Control: A Driving Simulator Study. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/2387

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):

Bartnik, Bryan Andre. “Driver Behavior at Railway-Highway Grade Crossings with Passive Traffic Control: A Driving Simulator Study.” 2013. Thesis, University of Tennessee – Knoxville. Accessed March 07, 2021. https://trace.tennessee.edu/utk_gradthes/2387.

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

MLA Handbook (7th Edition):

Bartnik, Bryan Andre. “Driver Behavior at Railway-Highway Grade Crossings with Passive Traffic Control: A Driving Simulator Study.” 2013. Web. 07 Mar 2021.

Vancouver:

Bartnik BA. Driver Behavior at Railway-Highway Grade Crossings with Passive Traffic Control: A Driving Simulator Study. [Internet] [Thesis]. University of Tennessee – Knoxville; 2013. [cited 2021 Mar 07]. Available from: https://trace.tennessee.edu/utk_gradthes/2387.

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

Council of Science Editors:

Bartnik BA. Driver Behavior at Railway-Highway Grade Crossings with Passive Traffic Control: A Driving Simulator Study. [Thesis]. University of Tennessee – Knoxville; 2013. Available from: https://trace.tennessee.edu/utk_gradthes/2387

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

26. Tupper, Steven Maxwell. Safety and Operational Assessment of Gap Acceptance Through Large-Scale Field Evaluation.

Degree: MS, Civil Engineering, 2011, University of Massachusetts

  Given that “driver error” is cited as a contributing factor in 93 percent of all crashes, understanding driver behavior is an essential element in… (more)

Subjects/Keywords: gap acceptance; critical gap; gap; driver behavior; traffic safety; Civil Engineering

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APA (6th Edition):

Tupper, S. M. (2011). Safety and Operational Assessment of Gap Acceptance Through Large-Scale Field Evaluation. (Masters Thesis). University of Massachusetts. Retrieved from https://scholarworks.umass.edu/theses/651

Chicago Manual of Style (16th Edition):

Tupper, Steven Maxwell. “Safety and Operational Assessment of Gap Acceptance Through Large-Scale Field Evaluation.” 2011. Masters Thesis, University of Massachusetts. Accessed March 07, 2021. https://scholarworks.umass.edu/theses/651.

MLA Handbook (7th Edition):

Tupper, Steven Maxwell. “Safety and Operational Assessment of Gap Acceptance Through Large-Scale Field Evaluation.” 2011. Web. 07 Mar 2021.

Vancouver:

Tupper SM. Safety and Operational Assessment of Gap Acceptance Through Large-Scale Field Evaluation. [Internet] [Masters thesis]. University of Massachusetts; 2011. [cited 2021 Mar 07]. Available from: https://scholarworks.umass.edu/theses/651.

Council of Science Editors:

Tupper SM. Safety and Operational Assessment of Gap Acceptance Through Large-Scale Field Evaluation. [Masters Thesis]. University of Massachusetts; 2011. Available from: https://scholarworks.umass.edu/theses/651


Virginia Tech

27. Tawfik, Aly M. Incorporating Perceptions, Learning Trends, Latent Classes, and Personality Traits in the Modeling of Driver Heterogeneity in Route Choice Behavior.

Degree: PhD, Civil Engineering, 2012, Virginia Tech

Driver heterogeneity in travel behavior has repeatedly been cited in the literature as a limitation that needs to be addressed. In this work, driver heterogeneity… (more)

Subjects/Keywords: Travel Behavior; Route Choice; Driver Heterogeneity; Human Factors; Personality Traits

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APA (6th Edition):

Tawfik, A. M. (2012). Incorporating Perceptions, Learning Trends, Latent Classes, and Personality Traits in the Modeling of Driver Heterogeneity in Route Choice Behavior. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/37338

Chicago Manual of Style (16th Edition):

Tawfik, Aly M. “Incorporating Perceptions, Learning Trends, Latent Classes, and Personality Traits in the Modeling of Driver Heterogeneity in Route Choice Behavior.” 2012. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/37338.

MLA Handbook (7th Edition):

Tawfik, Aly M. “Incorporating Perceptions, Learning Trends, Latent Classes, and Personality Traits in the Modeling of Driver Heterogeneity in Route Choice Behavior.” 2012. Web. 07 Mar 2021.

Vancouver:

Tawfik AM. Incorporating Perceptions, Learning Trends, Latent Classes, and Personality Traits in the Modeling of Driver Heterogeneity in Route Choice Behavior. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/37338.

Council of Science Editors:

Tawfik AM. Incorporating Perceptions, Learning Trends, Latent Classes, and Personality Traits in the Modeling of Driver Heterogeneity in Route Choice Behavior. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/37338


University of Washington

28. Li, Ning. Modeling driver behavior and their interactions with driver assistance systems.

Degree: PhD, 2019, University of Washington

 As vehicle automation becomes increasingly prevalent and capable, drivers have the opportunity to delegate primary driving task control to automated systems. In recent years, significant… (more)

Subjects/Keywords: advanced driver assistance systems; behavioral adaptations; driver behavior; driving performance; reinforcement learning; statistics; Industrial engineering; Industrial engineering

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APA (6th Edition):

Li, N. (2019). Modeling driver behavior and their interactions with driver assistance systems. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/44835

Chicago Manual of Style (16th Edition):

Li, Ning. “Modeling driver behavior and their interactions with driver assistance systems.” 2019. Doctoral Dissertation, University of Washington. Accessed March 07, 2021. http://hdl.handle.net/1773/44835.

MLA Handbook (7th Edition):

Li, Ning. “Modeling driver behavior and their interactions with driver assistance systems.” 2019. Web. 07 Mar 2021.

Vancouver:

Li N. Modeling driver behavior and their interactions with driver assistance systems. [Internet] [Doctoral dissertation]. University of Washington; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1773/44835.

Council of Science Editors:

Li N. Modeling driver behavior and their interactions with driver assistance systems. [Doctoral Dissertation]. University of Washington; 2019. Available from: http://hdl.handle.net/1773/44835


University of Missouri – Columbia

29. Drum, David K. Counteracting traffic congestion using intelligent driver feedback.

Degree: 2014, University of Missouri – Columbia

 Traffic congestion is a daily occurrence in urban highway networks worldwide. It is not possible, however, for society to build its way out of congestion;… (more)

Subjects/Keywords: Author supplied: driver behavior, machine learning, decision-support systems, traffic congestion, driver feedback, real-time data; Traffic congestion  – Management; Artificial intelligence

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APA (6th Edition):

Drum, D. K. (2014). Counteracting traffic congestion using intelligent driver feedback. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/44263

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):

Drum, David K. “Counteracting traffic congestion using intelligent driver feedback.” 2014. Thesis, University of Missouri – Columbia. Accessed March 07, 2021. https://doi.org/10.32469/10355/44263.

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

MLA Handbook (7th Edition):

Drum, David K. “Counteracting traffic congestion using intelligent driver feedback.” 2014. Web. 07 Mar 2021.

Vancouver:

Drum DK. Counteracting traffic congestion using intelligent driver feedback. [Internet] [Thesis]. University of Missouri – Columbia; 2014. [cited 2021 Mar 07]. Available from: https://doi.org/10.32469/10355/44263.

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

Council of Science Editors:

Drum DK. Counteracting traffic congestion using intelligent driver feedback. [Thesis]. University of Missouri – Columbia; 2014. Available from: https://doi.org/10.32469/10355/44263

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


Michigan Technological University

30. Flanagan, Brian. ANOMALY DETECTION IN CONTROLLER AREA NETWORK DATA USING HIERARCHICAL ANALYSIS.

Degree: MS, Department of Electrical and Computer Engineering, 2018, Michigan Technological University

  Recently, there has been a lot of attention given to autonomous vehicles and intelligent vehicular systems. Fully integrating intelligent systems into modern vehicles relies… (more)

Subjects/Keywords: Controller Area Network; Driver Behavior; Driver Model; Decision Forest; Hidden Markov Model; Artificial Intelligence and Robotics; Other Computer Engineering

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APA (6th Edition):

Flanagan, B. (2018). ANOMALY DETECTION IN CONTROLLER AREA NETWORK DATA USING HIERARCHICAL ANALYSIS. (Masters Thesis). Michigan Technological University. Retrieved from https://digitalcommons.mtu.edu/etdr/576

Chicago Manual of Style (16th Edition):

Flanagan, Brian. “ANOMALY DETECTION IN CONTROLLER AREA NETWORK DATA USING HIERARCHICAL ANALYSIS.” 2018. Masters Thesis, Michigan Technological University. Accessed March 07, 2021. https://digitalcommons.mtu.edu/etdr/576.

MLA Handbook (7th Edition):

Flanagan, Brian. “ANOMALY DETECTION IN CONTROLLER AREA NETWORK DATA USING HIERARCHICAL ANALYSIS.” 2018. Web. 07 Mar 2021.

Vancouver:

Flanagan B. ANOMALY DETECTION IN CONTROLLER AREA NETWORK DATA USING HIERARCHICAL ANALYSIS. [Internet] [Masters thesis]. Michigan Technological University; 2018. [cited 2021 Mar 07]. Available from: https://digitalcommons.mtu.edu/etdr/576.

Council of Science Editors:

Flanagan B. ANOMALY DETECTION IN CONTROLLER AREA NETWORK DATA USING HIERARCHICAL ANALYSIS. [Masters Thesis]. Michigan Technological University; 2018. Available from: https://digitalcommons.mtu.edu/etdr/576

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