Feature Engineering for Map Matching of Low-Sampling-Rate GPS   Trajectories in Road Network
  Map matching of GPS trajectories from a sequence of noisy observations serves the purpose of recovering the original routes in a road network. In this work in progress, we attempt to share our experience of feature construction in a spatial database by reporting our ongoing experiment of feature extrac-tion in Conditional Random Fields (CRFs) for map matching. Our preliminary results are obtained from real-world taxi GPS trajectories. 
Jian Yang and Liqiu Meng
stat.ML cs.LG