Attribution Theory and Collisions at Intersections
Description: An automobile driver (D) is seldom alone on the road. Whenever there is another vehicle – even only one – on or approaching the road on which D is travelling, the future behaviors of the driver of the other car (O) must be guessed, and the probabilities of the possible maneuvers estimated. Understanding driver expectations of other drivers is essential in understanding how and why accidents happen which in-turn leads to better counter measures. Intellectual Merit: This research will provide an outline for a range of driver expectations at intersections including, driver indications, stop or go decisions, performance and design of intersection traffic control devices, and turn maneuvers. Broader Impacts: The research findings will help improve driver behavior models in traffic simulation software and in the design of mental behavior of automated vehicles. Technology Transfer Plan: The research team will share research findings through participation in regional, national and international conferences.
Language
- English
Project
- Status: Completed
- Funding: $53138
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Contract Numbers:
69A3551747117
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590South Carolina State University
300 College Street NE
Orangeburg, South Carolina United States 29117 1600 Harden Street
Columbia, South Carolina United States 29204 -
Managing Organizations:
Center for Connected Multimodal Mobility
Clemson University
Clemson, SC United States 29634 -
Project Managers:
Mwakalonge, Judith
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Performing Organizations:
South Carolina State University
300 College Street NE
Orangeburg, South Carolina United States 29117 1600 Harden Street
Columbia, South Carolina United States 29204 -
Principal Investigators:
Mwakalonge, Judith
Comert, Gurcan
- Start Date: 20190102
- Expected Completion Date: 20210330
- Actual Completion Date: 20210330
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Age groups; Behavior; Driver experience; Intersections; Simulation; Traffic crashes
- Subject Areas: Highways; Safety and Human Factors;
Filing Info
- Accession Number: 01913002
- Record Type: Research project
- Source Agency: Center for Connected Multimodal Mobility
- Contract Numbers: 69A3551747117
- Files: UTC, RIP
- Created Date: Mar 25 2024 3:36PM