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
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.
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