Development of Multimodal Traffic Signal Control (Core Project)
The study will develop a novel multi-modal traffic signal control system that integrates connected and automated vehicle (CAV) applications. Multi-Modal Intelligent Transportation Signal Systems (MMITSS) have been prioritized by the U.S. Department of Transportation (U.S. DOT) to make surface transportation safer, smarter and greener by using wireless technology capabilities. Previous MMITSS studies found multiple challenges with the MMITSS simulation model. Due to the complexity of the simulation components, several limitations were observed including computational challenges with a large number of CVs, a coordinated section of signals; the combination of I-SIG and other priority applications. The proposed study will develop an integrated CV simulation environment that combines a communication network simulator with a microscopic traffic simulation software. The integrated CV simulation platform will enhance these computational limitations and provide a realistic simulation results. The proposed simulation will build on the recently developed Northern Virginia CV Testbed.
Universities and Sponsoring Organizations Involved
Hesham Rakha: firstname.lastname@example.org
Kyoungho Ahn: email@example.com
Funding Sources and Amounts (Split By Organization and Type of Funding)
USDOT: $300,000 (Federal), Virginia Tech: $150,000 (Match)
June 1, 2017
Expected Completion Date
May 31, 2019
Expected Research Outcomes
1. A report summarizing state-of-the-art multi-model traffic control systems.
2. Integrated CV simulation platform (Simulation tool)
3. Advanced I-SIG algorithm
4. Combined I-SIG and a priority control algorithm
5. Multi-modal traffic control system simulation model
6. Sensitivity analysis results of the multi-model traffic control system
7. Final report
Expected Equity Impacts and Benefits of Implementation
The development of the proposed study will improve an overarching traffic control system that accommodates transit, freight, and emergency vehicles while maximizing overall arterial network performance. The implementation of the proposed system will improve system mobility across multiple modes of travel at signalized intersections.
Traffic Signal Control