Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers

Research Article

Density-Based Dynamic Revision Path Planning in Urban Area via VANET

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  • @INPROCEEDINGS{10.1007/978-3-319-52730-7_13,
        author={Siwei Wu and Demin Li and Guanglin Zhang and Chang Guo and Leilei Qi},
        title={Density-Based Dynamic Revision Path Planning in Urban Area via VANET},
        proceedings={Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers},
        proceedings_a={MLICOM},
        year={2017},
        month={2},
        keywords={Path planning Dynamic Density-based VANET},
        doi={10.1007/978-3-319-52730-7_13}
    }
    
  • Siwei Wu
    Demin Li
    Guanglin Zhang
    Chang Guo
    Leilei Qi
    Year: 2017
    Density-Based Dynamic Revision Path Planning in Urban Area via VANET
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-52730-7_13
Siwei Wu1,*, Demin Li1,*, Guanglin Zhang1,*, Chang Guo1,*, Leilei Qi1
  • 1: Donghua University
*Contact email: wusiwei@mail.dhu.edu.cn, deminli@dhu.edu.cn, glzhang@dhu.edu.cn, guochang@mail.dhu.edu.cn

Abstract

Dynamic path planning can efficiently enhance the validity and reliability of real-time navigation for vehicles to avoid unexpected traffic congestions and to shorten the whole traveling time. In this paper, we present a dynamic path planning method in which the density of road links is set as the main measurement for traffic status. By analyzing the traveling time and waiting time, we propose a mechanism for vehicles to decide whether to revise the current path. Our method aims at offering a path with smallest time cost for vehicles towards the destination. Furthermore, we give the discussion on time complexity and convergence of our method. Finally, simulation is conducted to evaluate the proposed method.