Connected and Automated Vehicles and Safety of Vulnerable Road Users: A Systems Approach [Research Brief]

McDonald, Noreen C

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Connected and Automated Vehicles and Safety of Vulnerable Road Users: A Systems Approach [Research Brief]

2018-11-30
By McDonald, Noreen C

File Language:

English

Details

Creators:

McDonald, Noreen C
Corporate Creators:

University of North Carolina at Chapel Hill. Dept. of City and Regional Planning ; University of Tennessee, Knoxville. Center for Transportation Research ; Appalachian State University
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 ; Collaborative Sciences Center for Road Safety ; University of North Carolina at Chapel Hill
Subject/TRT Terms:
Publication/ Report Number:

CSCRS-R6
Resource Type:

Brief
Geographical Coverage:

United States
Corporate Publisher:

Collaborative Sciences Center for Road Safety ; University of North Carolina, Chapel Hill
Abstract:

Technological advances of connected and automated vehicles (CAVs) will not uniformly decrease crash risks as some environments, crash types, and user groups will continue to experience elevated risks, particularly vulnerable road users such as pedestrians. This project addresses these critical safety issues by: 1) assessing the current and future landscape of pedestrian and vehicle conflicts; 2) identifying how vehicle technology, planning policies, and data analytics can provide systemic solutions to pedestrian-vehicle conflicts; and 3) using data analytics to identify dangerous pre-crash behaviors.
Format:

PDF
Funding:

69A3551747113
Download URL:

https://rosap.ntl.bts.gov/view/dot/78255/dot_78255_DS1.pdf
File Type:

[PDF - 1.06 MB]
Collection(s):

Autonomous Vehicles ; University Transportation Centers
Main Document Checksum:

urn:sha-512:46054f7cc1edb90f820db1b0b49a35246fbb5af6bb1fe0490a6aa0faebc9bcfc13223b6ee2b5aefeaefde80814b5fc918ad85eb98dabf19fb10bb5d5a5843f9a

File Language:

English

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