Integration of a Real-time Traffic State Estimation and a Decentralized Game-Theoretic Traffic Signal Controller
This project proposes to enhance a decentralized traffic signal controller based on a Nash Bargaining game-theoretic framework, integrating a Kalman filtering (KF) algorithm for real-time traffic state estimation. By combining KF with the traffic signal controller, the project aims to optimize signal phasing sequences at intersections based on turning movements and traffic density, thereby reducing queue lengths, delays, and emissions. The approach involves traffic data collection through loop detectors and probe vehicle data, and it will address saturation flow rates for shared lanes. This integration intends to achieve efficient system performance across varying probe vehicle market penetration levels, ultimately providing a robust solution for improved traffic flow and reduced environmental impact at intersections.
Language
- English
Project
- Status: Active
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Contract Numbers:
69A3552348303
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Sponsor Organizations:
Sustainable Mobility and Accessibility Regional Transportation Equity Research Center
Morgan State University
Baltimore, MD United StatesOffice of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Sustainable Mobility and Accessibility Regional Transportation Equity Research Center
Morgan State University
Baltimore, MD United States -
Performing Organizations:
Virginia Polytechnic Institute and State University, Blacksburg
Virginia Tech Transportation Institute
3500 Transportation Research Plaza
Blacksburg, VA United States 24061 -
Principal Investigators:
Rakha, Hesham
Shafik, Amr
- Start Date: 20240901
- Expected Completion Date: 20250901
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Game theory; Kalman filtering; Optimization; Probe vehicles; Traffic data; Traffic flow; Traffic signal controllers; Traffic signal phases
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01935538
- Record Type: Research project
- Source Agency: Sustainable Mobility and Accessibility Regional Transportation Equity Research Center
- Contract Numbers: 69A3552348303
- Files: UTC, RIP
- Created Date: Oct 30 2024 2:41PM