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You searched for subject:(Driver Behavior). Showing records 1 – 30 of 165 total matches.

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University of Waikato

1. de Jong, Dennis. Participatory Road Design: An Investigation into Improving Roads, Drivers' Attitude and Behaviour Using Partiticipatory Design .

Degree: 2009, University of Waikato

 Improving road safety is currently based mostly on Education, Enforcement and Engineering or the 3 Es. Despite these measures having saved millions of lives since… (more)

Subjects/Keywords: participatory design; road safety; driver behaviour; driver behavior; driver attitudes; road design; speed management

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

APA (6th Edition):

de Jong, D. (2009). Participatory Road Design: An Investigation into Improving Roads, Drivers' Attitude and Behaviour Using Partiticipatory Design . (Doctoral Dissertation). University of Waikato. Retrieved from http://hdl.handle.net/10289/3280

Chicago Manual of Style (16th Edition):

de Jong, Dennis. “Participatory Road Design: An Investigation into Improving Roads, Drivers' Attitude and Behaviour Using Partiticipatory Design .” 2009. Doctoral Dissertation, University of Waikato. Accessed February 29, 2020. http://hdl.handle.net/10289/3280.

MLA Handbook (7th Edition):

de Jong, Dennis. “Participatory Road Design: An Investigation into Improving Roads, Drivers' Attitude and Behaviour Using Partiticipatory Design .” 2009. Web. 29 Feb 2020.

Vancouver:

de Jong D. Participatory Road Design: An Investigation into Improving Roads, Drivers' Attitude and Behaviour Using Partiticipatory Design . [Internet] [Doctoral dissertation]. University of Waikato; 2009. [cited 2020 Feb 29]. Available from: http://hdl.handle.net/10289/3280.

Council of Science Editors:

de Jong D. Participatory Road Design: An Investigation into Improving Roads, Drivers' Attitude and Behaviour Using Partiticipatory Design . [Doctoral Dissertation]. University of Waikato; 2009. Available from: http://hdl.handle.net/10289/3280


University of South Africa

2. 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 February 29, 2020. 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. 29 Feb 2020.

Vancouver:

Solomon CT. Driver attention and behaviour monitoring with the Microsoft Kinect sensor. [Internet] [Masters thesis]. University of South Africa; 2015. [cited 2020 Feb 29]. 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

3. 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 February 29, 2020. 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. 29 Feb 2020.

Vancouver:

Ou C. Deep Learning-based Driver Behavior Modeling and Analysis. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2020 Feb 29]. 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

4. 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 February 29, 2020. 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. 29 Feb 2020.

Vancouver:

Dou Y. DRIVER BEHAVIOUR PREDICTION MODELS USING ARTIFICIAL INTELLIGENCE ALGORITHMS AND STATISTICAL MODELING. [Internet] [Doctoral dissertation]. McMaster University; 2019. [cited 2020 Feb 29]. 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

5. 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 February 29, 2020. 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. 29 Feb 2020.

Vancouver:

Anuar NK. The impact of airport road wayfinding design on senior driver behaviour. [Internet] [Doctoral dissertation]. Cranfield University; 2016. [cited 2020 Feb 29]. 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

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

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 February 29, 2020. 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. 29 Feb 2020.

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 2020 Feb 29]. 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


Texas A&M University

7. Paulus, Susan C. A Retroreflective Sheeting Selection Technique for Nighttime Drivers' Needs.

Degree: 2010, Texas A&M University

 In this thesis, the author developed a retroreflective sheeting selection technique for traffic signs. Previous research was used to determine the luminance needed by drivers… (more)

Subjects/Keywords: Driver behavior; retroreflectivity; traffic signs; luminance; illuminance

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APA (6th Edition):

Paulus, S. C. (2010). A Retroreflective Sheeting Selection Technique for Nighttime Drivers' Needs. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7859

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):

Paulus, Susan C. “A Retroreflective Sheeting Selection Technique for Nighttime Drivers' Needs.” 2010. Thesis, Texas A&M University. Accessed February 29, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7859.

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

MLA Handbook (7th Edition):

Paulus, Susan C. “A Retroreflective Sheeting Selection Technique for Nighttime Drivers' Needs.” 2010. Web. 29 Feb 2020.

Vancouver:

Paulus SC. A Retroreflective Sheeting Selection Technique for Nighttime Drivers' Needs. [Internet] [Thesis]. Texas A&M University; 2010. [cited 2020 Feb 29]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7859.

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

Council of Science Editors:

Paulus SC. A Retroreflective Sheeting Selection Technique for Nighttime Drivers' Needs. [Thesis]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7859

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


Ohio University

8. 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 February 29, 2020. 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. 29 Feb 2020.

Vancouver:

Toussant EA. Analyzing the Impacts of Driver Familiarity/Unfamiliarity at Roundabouts. [Internet] [Masters thesis]. Ohio University; 2016. [cited 2020 Feb 29]. 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


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 February 29, 2020. https://digitalcommons.njit.edu/dissertations/303.

MLA Handbook (7th Edition):

Yang, Jing. “Driver behavior classification and lateral control for automobile safety systems.” 2012. Web. 29 Feb 2020.

Vancouver:

Yang J. Driver behavior classification and lateral control for automobile safety systems. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2012. [cited 2020 Feb 29]. 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 February 29, 2020. http://hdl.handle.net/2027.42/151422.

MLA Handbook (7th Edition):

Liu, Ke. “Measuring and Quantifying Driver Workload on Limited Access Roads.” 2019. Web. 29 Feb 2020.

Vancouver:

Liu K. Measuring and Quantifying Driver Workload on Limited Access Roads. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Feb 29]. 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 Alberta

11. 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 February 29, 2020. 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. 29 Feb 2020.

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 2020 Feb 29]. 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


University of Helsinki

12. 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 (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 February 29, 2020. 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. 29 Feb 2020.

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 2020 Feb 29]. 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


University of Utah

13. 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 (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 February 29, 2020. 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. 29 Feb 2020.

Vancouver:

Taylor JD. Computational methods for investigating intradriver heterogeneity using vehicle trajectory data. [Internet] [Masters thesis]. University of Utah; 2014. [cited 2020 Feb 29]. 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

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

Degree: 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 (6th Edition):

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

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):

Zhou, Zheren. “Modeling and Verification of Naturalistic Lane Keeping System.” 2016. Thesis, Texas A&M University. Accessed February 29, 2020. http://hdl.handle.net/1969.1/158128.

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

MLA Handbook (7th Edition):

Zhou, Zheren. “Modeling and Verification of Naturalistic Lane Keeping System.” 2016. Web. 29 Feb 2020.

Vancouver:

Zhou Z. Modeling and Verification of Naturalistic Lane Keeping System. [Internet] [Thesis]. Texas A&M University; 2016. [cited 2020 Feb 29]. Available from: http://hdl.handle.net/1969.1/158128.

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

Council of Science Editors:

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

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


University of Minnesota

15. 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 February 29, 2020. 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. 29 Feb 2020.

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 2020 Feb 29]. 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


Virginia Tech

16. Chong, Linsen. Modeling Naturalistic Driver Behavior in Traffic Using Machine Learning.

Degree: MS, Civil Engineering, 2011, Virginia Tech

 This research is focused on driver behavior in traffic, especially during car-following situations and safety critical events. Driving behavior is considered as a human decision… (more)

Subjects/Keywords: Driver behavior; car-following; machine learning; safety critical events

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APA (6th Edition):

Chong, L. (2011). Modeling Naturalistic Driver Behavior in Traffic Using Machine Learning. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/76834

Chicago Manual of Style (16th Edition):

Chong, Linsen. “Modeling Naturalistic Driver Behavior in Traffic Using Machine Learning.” 2011. Masters Thesis, Virginia Tech. Accessed February 29, 2020. http://hdl.handle.net/10919/76834.

MLA Handbook (7th Edition):

Chong, Linsen. “Modeling Naturalistic Driver Behavior in Traffic Using Machine Learning.” 2011. Web. 29 Feb 2020.

Vancouver:

Chong L. Modeling Naturalistic Driver Behavior in Traffic Using Machine Learning. [Internet] [Masters thesis]. Virginia Tech; 2011. [cited 2020 Feb 29]. Available from: http://hdl.handle.net/10919/76834.

Council of Science Editors:

Chong L. Modeling Naturalistic Driver Behavior in Traffic Using Machine Learning. [Masters Thesis]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/76834


Virginia Tech

17. 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 February 29, 2020. 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. 29 Feb 2020.

Vancouver:

Sangster JD. Naturalistic Driving Data for the Analysis of Car-Following Models. [Internet] [Masters thesis]. Virginia Tech; 2011. [cited 2020 Feb 29]. 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

18. 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 February 29, 2020. 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. 29 Feb 2020.

Vancouver:

Tupper SM. Safety and Operational Assessment of Gap Acceptance Through Large-Scale Field Evaluation. [Internet] [Masters thesis]. University of Massachusetts; 2011. [cited 2020 Feb 29]. 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

19. 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 February 29, 2020. 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. 29 Feb 2020.

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 2020 Feb 29]. 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


East Tennessee State University

20. 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. (Doctoral Dissertation). East Tennessee State University. Retrieved from https://dc.etsu.edu/etd/2423

Chicago Manual of Style (16th Edition):

Sims, Brian K. “Driving and Thriving: School Bus Drivers and the Behavior Management Strategies They Use.” 2014. Doctoral Dissertation, East Tennessee State University. Accessed February 29, 2020. https://dc.etsu.edu/etd/2423.

MLA Handbook (7th Edition):

Sims, Brian K. “Driving and Thriving: School Bus Drivers and the Behavior Management Strategies They Use.” 2014. Web. 29 Feb 2020.

Vancouver:

Sims BK. Driving and Thriving: School Bus Drivers and the Behavior Management Strategies They Use. [Internet] [Doctoral dissertation]. East Tennessee State University; 2014. [cited 2020 Feb 29]. Available from: https://dc.etsu.edu/etd/2423.

Council of Science Editors:

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

21. Negi, N.S. 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. “Differences in steering behaviour between experts, experienced and novice drivers: A driving simulator study:.” 2013. Masters Thesis, Delft University of Technology. Accessed February 29, 2020. http://resolver.tudelft.nl/uuid:eaf3000c-13dd-4c97-aa2c-3cf0a016a3c1.

MLA Handbook (7th Edition):

Negi, N S. “Differences in steering behaviour between experts, experienced and novice drivers: A driving simulator study:.” 2013. Web. 29 Feb 2020.

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 2020 Feb 29]. 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


University of Tennessee – Knoxville

22. 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 February 29, 2020. 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. 29 Feb 2020.

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 2020 Feb 29]. 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


University of Texas – Austin

23. -5384-0439. Quantifying the effect of pedestrian control devices on pedestrian safety.

Degree: MSin Engineering, Civil Engineering, 2019, University of Texas – Austin

 There are many interventions that can reduce pedestrian crashes, including clarifying the indications transmitted to the travelers in the traffic network via the built environment.… (more)

Subjects/Keywords: Pedestrian safety; Driver yielding behavior; Crossing facilities; Marked crosswalks; Unmarked crosswalks

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APA (6th Edition):

-5384-0439. (2019). Quantifying the effect of pedestrian control devices on pedestrian safety. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/72708

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

Chicago Manual of Style (16th Edition):

-5384-0439. “Quantifying the effect of pedestrian control devices on pedestrian safety.” 2019. Masters Thesis, University of Texas – Austin. Accessed February 29, 2020. http://hdl.handle.net/2152/72708.

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

MLA Handbook (7th Edition):

-5384-0439. “Quantifying the effect of pedestrian control devices on pedestrian safety.” 2019. Web. 29 Feb 2020.

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

Vancouver:

-5384-0439. Quantifying the effect of pedestrian control devices on pedestrian safety. [Internet] [Masters thesis]. University of Texas – Austin; 2019. [cited 2020 Feb 29]. Available from: http://hdl.handle.net/2152/72708.

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

Council of Science Editors:

-5384-0439. Quantifying the effect of pedestrian control devices on pedestrian safety. [Masters Thesis]. University of Texas – Austin; 2019. Available from: http://hdl.handle.net/2152/72708

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


Iowa State University

24. 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 February 29, 2020. 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. 29 Feb 2020.

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 2020 Feb 29]. 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


Virginia Tech

25. Amer, Ahmed. Statistical and Behavioral Modeling of Driver Behavior on Signalized Intersection Approaches.

Degree: PhD, Civil Engineering, 2010, Virginia Tech

 The onset of a yellow indication is typically associated with the risk of vehicle crashes resulting from dilemma-zone and red-light-running problems. Such risk of vehicle… (more)

Subjects/Keywords: Driver Behavior; Onset of Yellow; Perception-Reaction Time; Dilemma Zone; Red Light Running; Deceleration Behavior

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APA (6th Edition):

Amer, A. (2010). Statistical and Behavioral Modeling of Driver Behavior on Signalized Intersection Approaches. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/77995

Chicago Manual of Style (16th Edition):

Amer, Ahmed. “Statistical and Behavioral Modeling of Driver Behavior on Signalized Intersection Approaches.” 2010. Doctoral Dissertation, Virginia Tech. Accessed February 29, 2020. http://hdl.handle.net/10919/77995.

MLA Handbook (7th Edition):

Amer, Ahmed. “Statistical and Behavioral Modeling of Driver Behavior on Signalized Intersection Approaches.” 2010. Web. 29 Feb 2020.

Vancouver:

Amer A. Statistical and Behavioral Modeling of Driver Behavior on Signalized Intersection Approaches. [Internet] [Doctoral dissertation]. Virginia Tech; 2010. [cited 2020 Feb 29]. Available from: http://hdl.handle.net/10919/77995.

Council of Science Editors:

Amer A. Statistical and Behavioral Modeling of Driver Behavior on Signalized Intersection Approaches. [Doctoral Dissertation]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/77995


Michigan Technological University

26. 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 http://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 February 29, 2020. http://digitalcommons.mtu.edu/etdr/576.

MLA Handbook (7th Edition):

Flanagan, Brian. “ANOMALY DETECTION IN CONTROLLER AREA NETWORK DATA USING HIERARCHICAL ANALYSIS.” 2018. Web. 29 Feb 2020.

Vancouver:

Flanagan B. ANOMALY DETECTION IN CONTROLLER AREA NETWORK DATA USING HIERARCHICAL ANALYSIS. [Internet] [Masters thesis]. Michigan Technological University; 2018. [cited 2020 Feb 29]. Available from: http://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: http://digitalcommons.mtu.edu/etdr/576


Virginia Tech

27. Scanlon, John Michael. Evaluating the Potential of an Intersection Driver Assistance System to Prevent U.S. Intersection Crashes.

Degree: PhD, Biomedical Engineering, 2017, Virginia Tech

 Intersection crashes are among the most frequent and lethal crash modes in the United States. Intersection Advanced Driver Assistance Systems (I-ADAS) are an emerging active… (more)

Subjects/Keywords: Intersection Advanced Driver Assistance Systems; Active Safety; Benefits Estimates; Driver Behavior; Event Data Recorders; Naturalistic Driving; Crash; Injury Biomechanics

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APA (6th Edition):

Scanlon, J. M. (2017). Evaluating the Potential of an Intersection Driver Assistance System to Prevent U.S. Intersection Crashes. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/85505

Chicago Manual of Style (16th Edition):

Scanlon, John Michael. “Evaluating the Potential of an Intersection Driver Assistance System to Prevent U.S. Intersection Crashes.” 2017. Doctoral Dissertation, Virginia Tech. Accessed February 29, 2020. http://hdl.handle.net/10919/85505.

MLA Handbook (7th Edition):

Scanlon, John Michael. “Evaluating the Potential of an Intersection Driver Assistance System to Prevent U.S. Intersection Crashes.” 2017. Web. 29 Feb 2020.

Vancouver:

Scanlon JM. Evaluating the Potential of an Intersection Driver Assistance System to Prevent U.S. Intersection Crashes. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2020 Feb 29]. Available from: http://hdl.handle.net/10919/85505.

Council of Science Editors:

Scanlon JM. Evaluating the Potential of an Intersection Driver Assistance System to Prevent U.S. Intersection Crashes. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/85505


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 February 29, 2020. http://hdl.handle.net/1773/44835.

MLA Handbook (7th Edition):

Li, Ning. “Modeling driver behavior and their interactions with driver assistance systems.” 2019. Web. 29 Feb 2020.

Vancouver:

Li N. Modeling driver behavior and their interactions with driver assistance systems. [Internet] [Doctoral dissertation]. University of Washington; 2019. [cited 2020 Feb 29]. 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

29. João Bosco de Assis Rocha. Valores, variáveis sócio-demográficas e auto-relatos de comportamentos no trânsito de motoristas suspensos e não suspensos de Belém e Curitiba.

Degree: 2006, Universidade Federal do Pará

In order to investigate drivers behavior, possibly correlated with values and demographic variables, 505 drivers from Belém and Curitiba cities completed the Drivers Violation and… (more)

Subjects/Keywords: driver behavior; driver license; Value; Drivers - Behaviour; Traffic safety; Traffic - violations - Belém (PA); Traffic - violations - Curitiba (PR); Motorista - Comportamento; Segurança de trânsito; Trânsito - Infrações -Belém (PA); Trânsito - Infrações - Curitiba; driver values; valores de motoristas; comportamento de motoristas; CNH; PSICOLOGIA EXPERIMENTAL; Valores

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APA (6th Edition):

Rocha, J. B. d. A. (2006). Valores, variáveis sócio-demográficas e auto-relatos de comportamentos no trânsito de motoristas suspensos e não suspensos de Belém e Curitiba. (Thesis). Universidade Federal do Pará. Retrieved from http://www.bdtd.ufpa.br//tde_busca/arquivo.php?codArquivo=392

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):

Rocha, João Bosco de Assis. “Valores, variáveis sócio-demográficas e auto-relatos de comportamentos no trânsito de motoristas suspensos e não suspensos de Belém e Curitiba.” 2006. Thesis, Universidade Federal do Pará. Accessed February 29, 2020. http://www.bdtd.ufpa.br//tde_busca/arquivo.php?codArquivo=392.

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

MLA Handbook (7th Edition):

Rocha, João Bosco de Assis. “Valores, variáveis sócio-demográficas e auto-relatos de comportamentos no trânsito de motoristas suspensos e não suspensos de Belém e Curitiba.” 2006. Web. 29 Feb 2020.

Vancouver:

Rocha JBdA. Valores, variáveis sócio-demográficas e auto-relatos de comportamentos no trânsito de motoristas suspensos e não suspensos de Belém e Curitiba. [Internet] [Thesis]. Universidade Federal do Pará; 2006. [cited 2020 Feb 29]. Available from: http://www.bdtd.ufpa.br//tde_busca/arquivo.php?codArquivo=392.

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

Council of Science Editors:

Rocha JBdA. Valores, variáveis sócio-demográficas e auto-relatos de comportamentos no trânsito de motoristas suspensos e não suspensos de Belém e Curitiba. [Thesis]. Universidade Federal do Pará; 2006. Available from: http://www.bdtd.ufpa.br//tde_busca/arquivo.php?codArquivo=392

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


Delft University of Technology

30. Rendón-Vélez, E. Recognizing driving in haste.

Degree: 2014, Delft University of Technology

 One can often hear people discussing the reasons why a road accident has happened: “She had to pick up her kids in the school before… (more)

Subjects/Keywords: haste; time pressure; driver assistance; hurry; driver monitoring; recognition; driver behavior

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APA (6th Edition):

Rendón-Vélez, E. (2014). Recognizing driving in haste. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:c9f6a822-73fa-438b-a361-231522ef3c86 ; urn:NBN:nl:ui:24-uuid:c9f6a822-73fa-438b-a361-231522ef3c86 ; urn:NBN:nl:ui:24-uuid:c9f6a822-73fa-438b-a361-231522ef3c86 ; http://resolver.tudelft.nl/uuid:c9f6a822-73fa-438b-a361-231522ef3c86

Chicago Manual of Style (16th Edition):

Rendón-Vélez, E. “Recognizing driving in haste.” 2014. Doctoral Dissertation, Delft University of Technology. Accessed February 29, 2020. http://resolver.tudelft.nl/uuid:c9f6a822-73fa-438b-a361-231522ef3c86 ; urn:NBN:nl:ui:24-uuid:c9f6a822-73fa-438b-a361-231522ef3c86 ; urn:NBN:nl:ui:24-uuid:c9f6a822-73fa-438b-a361-231522ef3c86 ; http://resolver.tudelft.nl/uuid:c9f6a822-73fa-438b-a361-231522ef3c86.

MLA Handbook (7th Edition):

Rendón-Vélez, E. “Recognizing driving in haste.” 2014. Web. 29 Feb 2020.

Vancouver:

Rendón-Vélez E. Recognizing driving in haste. [Internet] [Doctoral dissertation]. Delft University of Technology; 2014. [cited 2020 Feb 29]. Available from: http://resolver.tudelft.nl/uuid:c9f6a822-73fa-438b-a361-231522ef3c86 ; urn:NBN:nl:ui:24-uuid:c9f6a822-73fa-438b-a361-231522ef3c86 ; urn:NBN:nl:ui:24-uuid:c9f6a822-73fa-438b-a361-231522ef3c86 ; http://resolver.tudelft.nl/uuid:c9f6a822-73fa-438b-a361-231522ef3c86.

Council of Science Editors:

Rendón-Vélez E. Recognizing driving in haste. [Doctoral Dissertation]. Delft University of Technology; 2014. Available from: http://resolver.tudelft.nl/uuid:c9f6a822-73fa-438b-a361-231522ef3c86 ; urn:NBN:nl:ui:24-uuid:c9f6a822-73fa-438b-a361-231522ef3c86 ; urn:NBN:nl:ui:24-uuid:c9f6a822-73fa-438b-a361-231522ef3c86 ; http://resolver.tudelft.nl/uuid:c9f6a822-73fa-438b-a361-231522ef3c86

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