The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XL-1/W5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W5, 129–133, 2015
https://doi.org/10.5194/isprsarchives-XL-1-W5-129-2015
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W5, 129–133, 2015
https://doi.org/10.5194/isprsarchives-XL-1-W5-129-2015

  10 Dec 2015

10 Dec 2015

GIS-BASED ROUTE FINDING USING ANT COLONY OPTIMIZATION AND URBAN TRAFFIC DATA FROM DIFFERENT SOURCES

M. Davoodi1 and M. S. Mesgari2 M. Davoodi and M. S. Mesgari
  • 1Geomatics Engineering, Faculty of Geodesy & Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran
  • 2Faculty of Geodesy & Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran

Keywords: Route Finding, Ant Colony Optimization, Urban Traffic Data, Floating Car Data, Video Vehicle Detection

Abstract. 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.