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  • 标题:GIS-BASED ROUTE FINDING USING ANT COLONY OPTIMIZATION AND URBAN TRAFFIC DATA FROM DIFFERENT SOURCES
  • 本地全文:下载
  • 作者:M. Davoodi ; M. S. Mesgari
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2015
  • 卷号:XL-1/W5
  • 页码:129-133
  • DOI:10.5194/isprsarchives-XL-1-W5-129-2015
  • 出版社:Copernicus Publications
  • 摘要:Nowadays traffic data is obtained from multiple sources including GPS, Video Vehicle Detectors (VVD), Automatic Number Plate Recognition (ANPR), Floating Car Data (FCD), VANETs, etc. All such data can be used for route finding. This paper proposes a model for finding the optimum route based on the integration of traffic data from different sources. Ant Colony Optimization is applied in this paper because the concept of this method (movement of ants in a network) is similar to urban road network and movements of cars. The results indicate that this model is capable of incorporating data from different sources, which may even be inconsistent
  • 关键词:Route Finding; Ant Colony Optimization; Urban Traffic Data; Floating Car Data; Video Vehicle Detection
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