Dynamic Traffic Routing in a Network with Adaptive Signal Control

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 authors simultaneously capture the travelers’ route choices 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 shortest path algorithm(DTR). For traffic signal control, three adaptive control schemes are proposed: low-density control, high-density control and phase selection control. The authors test our 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.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ADB30 Standing Committee on Transportation Network Modeling.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Chai, Huajun
  • 0000-0001-8067-9129
  • Zhang, H Michael
  • Chuah, Chen-Nee
  • Ghosal, Dipak
  • Smith, Dylan
• Conference:
  • Transportation Research Board 95th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2016-1-10 to 2016-1-14
• Date: 2016

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 21p
• Monograph Title: TRB 95th Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Adaptive control; Advanced driver information systems; Methodology; Route choice; Shortest path algorithms; Stochastic processes; Traffic signal control systems; Vehicular ad hoc networks
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01595084
• Record Type: Publication
• Report/Paper Numbers: 16-4445
• Files: TRIS, TRB, ATRI
• Created Date: Mar 31 2016 9:32AM