Traffic Signal Control with Dynamic Traffic Routing in a VANET Environment

In real traffic network, travelers’ behaviors are affected by traffic control strategies. To coordinate traffic, traffic control authorities need to take travelers’ route choices into consideration. In this research, the research team simultaneously captures the travelers’ route choice behavior and the traffic signal control in a coherent framework. For travelers’ route choice, a VANET (vehicular ad hoc network) is considered, where travelers can have access to the real-time traffic information and make decisions at each intersection using hyper-path trees. For traffic signal control, an adaptive control scheme is adopted for different demand scenarios. For higher demand, traffic signals are set according to the upstream flows, while for lower demand, actuated traffic signals are used. The team tests their algorithm and control strategy by simulation in OmNet++ and SUMO (Simulation of Urban MObility) under several scenarios. The simulation results show that with the proposed dynamic routing, the overall travel cost significantly decreases. It is also shown that the proposed adaptive signal control reduces the average delay effectively, as well as reduces the fluctuation of the average speed within the whole network which can reduce the fuel consumption eventually.

• Record URL:
  https://ncst.ucdavis.edu/wp-content/uploads/2016/11/09-08-2016-Chai-project-information.pdf
• 

Language

• English

Project

• Status: Completed
• Funding: $25000
• Contract Numbers:

  DTRT13-G-UTC29

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590

  National Center for Sustainable Transportation

  University of California, Davis
  Davis, CA  United States 
• Managing Organizations:

  National Center for Sustainable Transportation

  University of California, Davis
  Davis, CA  United States 

  University of California, Davis

  Institute of Transportation Studies
  Davis, CA  United States  95616
• Project Managers:

  lacobucci, Lauren

• Performing Organizations:

  National Center for Sustainable Transportation

  University of California, Davis
  Davis, CA  United States 

  University of California, Davis

  Institute of Transportation Studies
  Davis, CA  United States  95616
• Principal Investigators:

  Chai, Huajun

• Start Date: 20160701
• Expected Completion Date: 20170630
• Actual Completion Date: 20170630
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Adaptive control; Algorithms; Fuel consumption; Route choice; Traffic control; Traffic delays; Traveler information and communication systems
• Identifier Terms: SUMO (Traffic simulation model)
• Subject Areas: Energy; Environment; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01710676
• Record Type: Research project
• Source Agency: National Center for Sustainable Transportation
• Contract Numbers: DTRT13-G-UTC29
• Files: UTC, RiP
• Created Date: Jul 5 2019 10:09PM