Development of Multimodal Traffic Signal Control

Project Abstract

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

Virginia Tech

Principal Investigator(s)

Hesham Rakha:
Kyoungho Ahn:

Funding Sources and Amounts (Split By Organization and Type of Funding)

USDOT: $300,000 (Federal), Virginia Tech: $150,000 (Match)

Start Date

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.

Subject Areas

Traffic Signal Control