A novel concept for a decentralized adaptive traffic signal control in urban networks using in future available vehicle to infratructure (V2I) communication data is presented. The phase-based strategy takes advantage of the improved detection data and optimizes each time interval of 5 seconds the phase sequence in order to reduce the total queue length within a forecast horizon of 20 seconds. For optimization the methods of dynamic programming and complete enumeration are used. The methods are embedded in the simulation environment of the microscopic traffic simulator AIMSUN NG. The market penetration level is the critical factor that impacts the quality of the new signal control. Hence, various penetration levels are modelled. For reference TRANSYT-7F is used.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A decentralized adaptive traffic signal control using V2I communication data


    Contributors:


    Publication date :

    2009-10-01


    Size :

    619843 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Multimodal adaptive traffic signal control: A decentralized multiagent reinforcement learning approach

    Kareem Othman / Xiaoyu Wang / Amer Shalaby et al. | DOAJ | 2025

    Free access

    Decentralized Traffic Signal Control for Grid Traffic Network using Genetic Algorithm

    Tan, Min Keng / Ee Chuo, Helen Sin / Yeo, Kiam Beng et al. | IEEE | 2019



    Adaptive Traffic Signal Control using CV2X

    Palash, Mahbubul Alam / Wijesekera, Duminda | IEEE | 2023


    Vehicle‐to‐infrastructure communication‐based adaptive traffic signal control

    Cai, Chen / Wang, Yang / Geers, Glenn | Wiley | 2013

    Free access