Routing-based map matching for extracting routes from GPS trajectories

  • Authors:
  • Terry Griffin;Yan Huang;Shawn Seals

  • Affiliations:
  • Midwestern State University, Wichita Falls, Texas;University of North Texas, Denton, TX;Midwestern State University, Wichita Falls, Texas

  • Venue:
  • Proceedings of the 2nd International Conference on Computing for Geospatial Research & Applications
  • Year:
  • 2011

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Abstract

This paper introduces a novel offline map matching approach. We develop a routing-based map matching approach for standardizing identified routes in a collected set of GPS trajectories. Our approach first identifies key waypoints in a user's GPS trajectory using a modified Peucker curve reduction algorithm. Subsequently, it sends the key waypoints to a black-box driving directions service which returns a route utilizing each of the key waypoints. The returned route is a standardized representation of the original GPS trajectory constructed using the minimum necessary set of points. A filter-and-refine approach is used to identify the incorrect portion of the returned route and a refine step is carried out by eliminating the waypoints what leads to the incorrect matching. Experiments results showed that the proposed approach works well for a data-set of 10 volunteers each collecting data an average of 34.3 days.