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A Trajectory Collaboration Based Map Matching Approach for Low-Sampling-Rate GPS Trajectories
2020
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
doi:10.3390/s20072057
pmid:32268569
fatcat:jjfamsfwvzdofl27gdu6dn4eiq