In this paper, a multiagent-based control method is proposed to design a transit signal priority (TSP) scheme at urban traffic networks. One agent controls an intersection. Coordination among different intersection agents is deployed to guarantee the benefits from TSP at upstream intersections. At one intersection there are usually many bus routes, and thus multiple TSP requests and coordination requests can occur at one phase simultaneously. Therefore, the proposed method also aims at resolving conflicting TSP or coordination requests. A multilevel fuzzy controller consisting of a transit signal priority controller, Green Time Adjustment Controller 1, fuzzy negotiation controller, and Green Time Adjustment Controller 2 is then introduced to realize these objectives. Following that, fuzzy inference decisions and algorithms are provided for describing the control process of the proposed multiagent method. An urban traffic network with 25 intersections is selected to conduct a case study to evaluate the proposed method by comparison and sensitivity analysis. The proposed method performed better than the other three methods under different scenarios in accordance with the simulation results.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Multiagent Control Approach with Multiple Traffic Signal Priority and Coordination


    Additional title:

    J. Transp. Eng., Part A: Systems


    Contributors:
    Xu, Mingtao (author) / Zhai, Xiaoqi (author) / Sun, Zhongyu (author) / Zhou, Xuan (author) / Chen, Yunxing (author)


    Publication date :

    2023-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English







    Multiagent Coordination Strategies

    Guerrero, J. A. / Lozano, R. / Spong, M. W. et al. | Wiley | 2012


    Multiagent Reinforcement Learning for Traffic Signal Control: a k-Nearest Neighbors Based Approach

    Almeida, Vicente Nejar de / Bazzan, Ana L. C. / Abdoos, Monireh | TIBKAT | 2022

    Free access