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
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
10 Dec 2015
GIS-BASED ROUTE FINDING USING ANT COLONY OPTIMIZATION AND URBAN TRAFFIC DATA FROM DIFFERENT SOURCES
M. Davoodi1 and M. S. Mesgari2 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.
Conference paper (PDF, 1402 KB)


Citation: Davoodi, M. and Mesgari, M. S.: GIS-BASED ROUTE FINDING USING ANT COLONY OPTIMIZATION AND URBAN TRAFFIC DATA FROM DIFFERENT SOURCES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W5, 129-133, https://doi.org/10.5194/isprsarchives-XL-1-W5-129-2015, 2015.

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