Traffic congestion is one of the major problems in many of metro cities all over the world today. It affects daily life in many aspects such as improper time management, stress, frustration which leads to reckless driving. Average time to reach destination is decided by travel speed which is directly proportional to traffic congestion and also the wait time at each and every traffic signal. In this paper a novel Swarm Intelligence based Traffic Control System (SITS) inspired from nature mimicking (Particle Swarm Optimization) is discussed. This State of the art SITS with Six Degrees of Separation approach to traffic congestion is applying swarm intelligence to traffic lights to avoid waiting of vehicles at red light decreasing wait time and congestion. Here cars will not take random paths or will not take dynamic routes. Six degrees of separation will be employed at each node (traffic signal) to limit computational power and to improve efficiency.


    Access

    Download


    Export, share and cite



    Title :

    Swarm Intelligence Based Traffic Control System


    Contributors:

    Publication date :

    2017-05-27


    Remarks:

    doi:10.21013/jte.v7.n2.p5
    IRA-International Journal of Technology & Engineering (ISSN 2455-4480); Vol 7, No 2 (2017): May; 46-52 ; 2455-4480



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



    Hierarchical Routing in Traffic Using Swarm-Intelligence

    Tatomir, B. / Rothkrantz, L. | IEEE | 2006


    Optimization of Signalized Traffic Network using Swarm Intelligence

    Tan, Min Keng / Ladillah, Mohd.Riezman / Chuo, Helen Sin Ee et al. | IEEE | 2021


    Swarm Intelligence Based Maze Solver

    Digya Acharya, Pranish Bhagat, Pratik Bhandari, Sijan Bhattarai, Dinesh Baniya Kshatri | BASE | 2022

    Free access


    Internet of Things(IoT) Enabled Intelligent Traffic Control Management System By Hybrid Swarm Intelligence(SI) Algorithm

    Subrahmanyam, Voore / Nagesh, O. Sri / Venkatramana Reddy, Y. et al. | IEEE | 2024