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A novel path planning to provide real-time backup paths for vehicle navigation systems

  • Chang Gung University

Research output: Contribution to journal › Journal Article › peer-review

1 Scopus citations

Abstract

The rapid progress of wireless technologies has made the information of real-time traffic available to vehicles. In this paper, the authors propose a dynamic path planning algorithm for vehicle navigation system which can adapt to changeable traffic and replan a better path with good travelling time for drivers within a reasonable computation time for large-scale road networks. Based on the hierarchical model of road networks, we use source-directed A* to save the path planning time, to create a good travelling time path, and to construct a backup path tree. When a traffic condition of a link in the driving path becomes worse, the replanning of a new partial path for a certain part of the backup path tree reflected by the link is calculated. The system has been tested on Taiwan road network. Through experiment results, the system presents a good efficiency for planning/replanning a path in terms of planning time and travelling time.

Original languageEnglish
Pages (from-to)20-33
Number of pages14
JournalInternational Journal of Grid and High Performance Computing
Volume5
Issue number3
DOIs
StatePublished - 2013

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Dynamic path planning
  • Road networks
  • Vehicle navigation
  • Vehicular ad-hoc networks
  • Wireless ad hoc sensor networks

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