Building on a successful initial phase, this project aims to further develop a Connected and Automated Vehicle (CAV) testbed at Morgan State University. By expanding data extraction, analysis, and safety alert systems using LiDAR and connected vehicle technology, the study seeks to enhance pedestrian anequd traffic safety through dynamic safety warnings and customized traffic conflict assessment. The project is expected to offer insights into real-time traffic management, reduce safety risks, and support effective transportation planning.
Universities Involved
Morgan State University
Principal Investigators
Mansoureh Jeihani
Anam Ardeshiri
Di Yang
Ehsan Mehryaar
Funding Sources and Amounts
USDOT: $100,000
Start Date
September 1, 2023
Completion Date
September 1, 2024
Expected Research Outcomes & Impacts
The project will produce data on vehicle trajectories, safety warnings, and driver responses within a CAV-enhanced testbed. Outcomes are expected to showcase real-time improvements in traffic flow, reduced risks for road users, and potential scaling applications for smart transportation systems.
Subject Areas
Connected and Autonomous Vehicles, Intelligent Transportation Systems, Traffic Safety