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RSS FeedsSensors, Vol. 20, Pages 2057: A Trajectory Collaboration Based Map Matching Approach for Low-Sampling-Rate GPS Trajectories (Sensors)

 
 

6 april 2020 17:00:35

 
Sensors, Vol. 20, Pages 2057: A Trajectory Collaboration Based Map Matching Approach for Low-Sampling-Rate GPS Trajectories (Sensors)
 


GPS (Global Positioning System) trajectories with low sampling rates are prevalent in many applications. However, current map matching methods do not perform well for low-sampling-rate GPS trajectories due to the large uncertainty between consecutive GPS points. In this paper, a collaborative map matching method (CMM) is proposed for low-sampling-rate GPS trajectories. CMM processes GPS trajectories in batches. First, it groups similar GPS trajectories into clusters and then supplements the missing information by resampling. A collaborative GPS trajectory is then extracted for each cluster and matched to the road network, based on longest common subsequence (LCSS) distance. Experiments are conducted on a real GPS trajectory dataset and a simulated GPS trajectory dataset. The results show that the proposed CMM outperforms the baseline methods in both, effectiveness and efficiency.


 
32 viewsCategory: Chemistry, Physics
 
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