Dynamic vehicular path planning using real-time traffic information have attracted the interest for both academic and industry. How to collect traffic information and make path planning decisions accordingly are two major problems. Existing works have addressed these issues using centralized or infrastructure based traffic collection approaches. However, existing works have certain weaknesses on efficiency and effectiveness. This paper introduced a novel dynamic vehicular path planning solution. The proposed solution does not rely on infrastructures to collect traffic information. Meanwhile, It utilizes density-speed traffic flow model to predict the traffic condition. In addition, a dynamic candidate path selection algorithm is developed to reduce the redundant data collection overhead. Extensive evaluations using large scale traffic trace based simulation have been performed. The results show that our solution outperforms some existing solutions in terms of communication efficiency and path planning effectiveness.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    MICE: A Real-time Traffic Estimation Based Vehicular Path Planning Solution Using VANETs


    Contributors:
    He, Zongjian (author) / Cao, Jiannong (author) / Li, Tao (author)


    Publication date :

    2012-12-01


    Size :

    308643 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Spatial random modeling of vehicular traffic in VANETs

    Liu, Yongyang / Guo, Jingqiu / Wang, Yibing | IEEE | 2017


    Vehicular traffic monitoring through VANETs: Simulation and analysis in a real case study

    Baiocchi, Andrea / Colombaroni, Chiara / Cuomo, Francesca et al. | Tema Archive | 2013


    Real time vehicular traffic estimation using cellular infrastructure

    Chaturvedi, Manish / Srivastava, Sanjay | IEEE | 2013


    A Study of Path Planning Algorithm in VANETs

    Zhang, Ling | Trans Tech Publications | 2014


    Real-Time Path Planning Based on Dynamic Traffic Information

    Hu, Rong / Xia, Ye / Kuang, Fang-jun | Springer Verlag | 2017