Pedestrian-Vehicle Interaction in a CAV Environment: Explanatory Metrics

Zhang, Yunchang; Fricker, Jon D.

doi:10.5703/1288284317575

i

Pedestrian-Vehicle Interaction in a CAV Environment: Explanatory Metrics

2022-06-01
By Zhang, Yunchang ; Fricker, Jon D.

File Language:

English

Details

Alternative Title:

Translation of Driver-Pedestrian Behavioral Models at Semi-Controlled Crosswalks Into a Quantitative Framework for Practical Self-Driving Vehicle Applications
Creators:

Zhang, Yunchang ; Fricker, Jon D.
Corporate Creators:

Center for Connected and Automated Transportation (CCAT) ; Purdue University ; University of Michigan. Transportation Research Institute
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:

Autonomous Vehicle Guidance Congestion Management Systems Connected Vehicles Crosswalks Human Factors Engineering Policy Traffic Control Vulnerable Road Users
Publication/ Report Number:

CCAT Report #61
DOI:

http://dx.doi.org/10.5703/1288284317575
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report. 01/01/2020 12/31/2021
Corporate Publisher:

University of Michigan. Center for Connected and Automated Transportation ; Center for Connected and Automated Transportation. Purdue University
Abstract:

The research described in this report was motivated by frequent questions from users of several crosswalks near a university campus. At each crosswalk was a sign indicating that motorists should yield to pedestrians in the crosswalk. The notion that this message was not being interpreted uniformly was a concern at locations where heterogeneous road users (pedestrians, cyclists, and motorists) were interacting. Instead of trying to impose a single interpretation on users of each crosswalk, it was decided to observe and analyze interactions between users of the crosswalk.
Format:

PDF
Funding:

69A3551747105
Collection(s):

University Transportation Centers Autonomous Vehicles
Main Document Checksum:

urn:sha-512:c8319608612e14feec6df6d16aa480ffdc10cf1eecc5b9dbe407296d9332278d320176afd74fe90b18f239053ace2fe9bae854f175c088a20255fec7fdef8263
Download URL:

https://rosap.ntl.bts.gov/view/dot/72953/dot_72953_DS1.pdf
File Type:

[PDF - 2.28 MB ]

File Language:

English

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