In this paper, a rear-end collision control model is proposed using the fuzzy logic control scheme for the autonomous or cruising vehicles in Intelligent Transportation Systems (ITSs). Through detailed analysis of the car-following cases, our controller is established on some reasonable control rules. In addition, to refine the initialized fuzzy rules considering characteristics of the rear-end collisions, the genetic algorithm is introduced to reduce the computational complexity while maintaining accuracy. Numerical results indicate that our Genetic algorithm-optimized Fuzzy Logic Controller (GFLC) outperforms the traditional fuzzy logic controller in terms of better safety guarantee and higher traffic efficiency.


    Access

    Download


    Export, share and cite



    Title :

    A Rear-End Collision Avoidance Scheme for Intelligent Transportation System


    Contributors:
    Chen Chen (author) / Liu Hongyun (author) / Xiang Hongyu (author) / Li Meilian (author) / Pei Qingqi (author) / Wang Shengda (author)


    Publication date :

    2016




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    REAR END COLLISION AVOIDANCE SYSTEM

    ISRAEL BRUNO | European Patent Office | 2015

    Free access

    Rear-End Collision Avoidance System

    Ito, T. / Yamada, K. / Hiroshima, Y. | British Library Online Contents | 1996


    Rear-end collision avoidance system

    THOMASON JOSHUA CHILDS | European Patent Office | 2021

    Free access

    REAR-END COLLISION AVOIDANCE

    KONET HEATHER / GOUDY ROY / PROBERT NEAL et al. | European Patent Office | 2017

    Free access

    Rear-end collision avoidance

    KONET HEATHER / GOUDY ROY / PROBERT NEAL et al. | European Patent Office | 2017

    Free access