Using Connected Intelligent Transportation to Enhance Vulnerable Road User Safety
In an era where Autonomous Vehicles (AVs) are becoming increasingly prevalent, the safety and equitable treatment of Vulnerable Road Users (VRUs) such as pedestrians and cyclists are of paramount concern. This project aims to tackle these challenges by creating a comprehensive interaction system to ensure VRU safety within a connected environment. Leveraging Virtual Reality (VR) simulations, VRU wearable devices, advanced algorithms, and real-time data integration, the research team aims to develop a human-in-the-loop digital twin system to test and improve the perception and decision-making mechanisms for both AVs and VRUs. The project will unfold through a series of tasks, including the development of a VR-based testing environment, a warning system for VRUs, and an AV collision avoidance system. By achieving these objectives, the team anticipates setting new benchmarks in road safety and equitable access to transportation resources.
Language
- English
Project
- Status: Active
- Funding: $220000
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Contract Numbers:
69A3552348305
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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 20590 -
Managing Organizations:
University of Michigan Transportation Research Institute
2901 Baxter Road
Ann Arbor, Michigan United States 48109 -
Project Managers:
Stearns, Amy
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Performing Organizations:
University of Wisconsin, Madison
Department of Civil and Environmental Engineering
1415 Engineering Drive
Madison, WI United States 53706 -
Principal Investigators:
Noyce, David
Chen, Sikai
Ahn, Sue
- Start Date: 20240101
- Expected Completion Date: 20241231
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Connected vehicles; Crash avoidance systems; Decision making; Pedestrian safety; Virtual reality; Vulnerable road users; Warning systems
- Subject Areas: Data and Information Technology; Highways; Pedestrians and Bicyclists; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01906152
- Record Type: Research project
- Source Agency: Center for Connected and Automated Transportation
- Contract Numbers: 69A3552348305
- Files: UTC, RIP
- Created Date: Jan 28 2024 12:22PM