Map matching method of large-scale floating cars based on road incremental updating under emergency accidents

Vehicle-grade traffic information selecting type based on floating cars plays a significant role when it was under the influence of emergency accidents, and map matching (MM) is the key technology of this type. In this paper, against the problems of current MM method, we proposed a novel MM method based on road incremental updating data. This method was carried out through network topology which updated according to roads´ dynamic changes, and it could solve real-time MM process by an effective candidate links identification method, at the same time, the MM method put forward applied parallel roads reverse recognition method on the link matching. And on the junction, this method took delay matching method and optimal path selection method to overcome the MM complexity caused by intersections and main side roads in large-scale urban traffic network. Experiment results showed that the MM method proposed in this paper can perform high MM precision in large-scale and complicated road network under emergency accidents.