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The matching of GPS received locations to roads is challenging. Traditional matching method is based on the position of the GPSreceiver, the vehicle position and vehicle behavior near the receiving time. However, for probe vehicle trajectories, the samplinginterval is too sparse and there is a poor correlation between adjacent sampling points, so it cannot partition the GPS noise throughthe historical positions. For the data mining of probe vehicle tracks based on spatial semantics, the matching is learned from thetraditional electronic navigation map matching, and it is proposed that the probe vehicle track matching algorithm is based on spatialsemantic features. Experimental results show that the proposed global-path matching method gets a good matching results, andrestores the true path through the probe vehicle track

PROBE VEHICLE TRACK-MATCHING ALGORITHM BASED ON SPATIAL SEMANTIC FEATURES