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 language | English |
|---|---|
| Pages (from-to) | 20-33 |
| Number of pages | 14 |
| Journal | International Journal of Grid and High Performance Computing |
| Volume | 5 |
| Issue number | 3 |
| DOIs | |
| State | Published - 2013 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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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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