An ArcGIS-Based Hybrid Topological Map Matching Algorithm for GPS Probe Data

Abstract

GPS probe data have been widely used to provide real-time traffic information, and map matching is a fundamental pre-processing step for utilizing the GPS data. Efficient and accurate map matching algorithm plays an essential role in traffic parameter estimation, while most current algorithms focus more on the improvement of map matching accuracy than that of map matching efficiency. Therefore, the paper proposes an ArcGIS-based hybrid topological map-matching algorithm to improve the map matching efficiency with high map matching accuracy. The algorithm performance is testified with filed GPS data. The result shows that the proposed map matching algorithm is feasible for efficient matching with high accuracy in terms of comparatively less number of GPS data.

Grid Mapping for Spatial Pattern Analyses of Recurrent Urban Traffic Congestion Based on Taxi GPS Sensing Data

“…The procedure includes map matching and traffic parameter estimation [8]. Map matching was to link the coordinates of vehicles with digital maps in order to locate the positions of vehicles.…”