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Translation of Driver-Pedestrian Behavioral Models at Semi-Controlled Crosswalks into a Quantitative Framework for Practical Self-Driving Vehicle Applications, Part B (Pedestrian Volume Analytics)

CITE Title : Translation of Driver-Pedestrian Behavioral Models at Semi-Controlled Crosswalks into a Quantitative Framework for Practical Self-Driving Vehicle Applications, Part B (Pedestrian Volume Analytics) Creator(s) : Nafakh, Abdullah Jalal;Mwamba, Isaiah C;Chen, Sikai;Fricker, Jon D.;Labi, Samuel; Corporate Creator(s) : Center for Connected and Automated Transportation (CCAT);Purdue University;University of Michigan. Transportation Research Institute; Corporate Contributor(s) : United States. Department of Transportation. University Transportation Centers (UTC) Program;United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology; Published Date : 2023-11-01 Report Number : 61B DOI : http://dx.doi.org/10.5703/1288284317718 "Translation of Driver-Pedestrian Behavioral" (2023). http://dx.doi.org/10.5703/1288284317718 "Translation of Driver-Pedestrian Behavioral Models at Semi-Controlled Crosswalks into a Quantitative Framework for Practical Self-Driving Vehicle Applications, Part B (Pedestrian Volume Analytics)" (2023), http://dx.doi.org/10.5703/1288284317718 "Translation of Driver-Pedestrian Behavioral Models at Semi-Controlled Crosswalks into a Quantitative Framework for Practical Self-Driving Vehicle Applications, Part B (Pedestrian Volume Analytics)" , 2023, http://dx.doi.org/10.5703/1288284317718 Export RIS Citation Information.

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Nafakh, Abdullah Jalal ;

Mwamba, Isaiah C

2023-11-01

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Widespread introduction of cameras installed for monitoring vehicle flow at intersections offers opportunities to leverage this infrastructure to acqu...

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