Improving Throughput of a Signalized Intersection in a Connected Vehicle Environment

This paper proposes a connected vehicle–based approach to improve the throughput at signalized intersections and ultimately increase the mobility of transportation systems. Connected vehicle technology demonstrates tremendous potentials for improving safety and mobility, as it enables the real-time sharing of vehicle data, including position, speed, acceleration, etc., not only among vehicles but also between vehicles and infrastructures. The proposed approach takes advantages of such real-time data to develop a strategy that maximizes throughputs of a signalized intersection locally. Accordingly, the problem is formulated as a two-step centralized responsive control. There are two main processes in this method: responsive control for vehicles in motion, and responsive control for stopped vehicles. The first step maximizes the intersection throughput of vehicles in motion using advisory accelerations. The second one minimizes the total delay of stopped vehicles by adjusting positions at which vehicles will stop. Simulations are presented to demonstrate the efficiency of the proposed approach, which improves the traffic flow throughput of a signalized intersection and reduces the total delay of all vehicles. The simulation results show that the authors can increase the throughput by the responsive control of the vehicle in motion and stopped vehicles in most traffic conditions.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AHB25 Standing Committee on Traffic Signal Systems. Alternate title: Improving Throughput of a Signalized Intersection in a Connected-Vehicle Environment
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Li, Jiangchen
    • Qiu, Tony Z
  • Conference:
  • Date: 2017

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References;
  • Pagination: 13p
  • Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01628137
  • Record Type: Publication
  • Report/Paper Numbers: 17-02541
  • Files: TRIS, TRB, ATRI
  • Created Date: Mar 7 2017 10:25AM