TCPMS-FCP: A Traffic Congestion Pattern Mining System Based on Spatio-Temporal Fuzzy Co-location Patterns.

Mining traffic congestion patterns is important for planning travel routes and optimizing traffic control in urban areas. However, existing methods ignore the spatio-temporal attributes of traffic flow data and the fuzziness of the concept of congestion itself, leading to defects and inaccuracies in the definition of traffic congestion. To this end, a novel traffic congestion pattern on the basis of spatio-temporal fuzzy co-location pattern is proposed, and a traffic congestion pattern mining system, named TCPMS-FCP, is developed. With TCPMS-FCP, travelers can choose appropriate travel routes to reduce travel time, while traffic management agencies can use the mined congestion patterns to improve the efficiency of traffic management and the level of traffic congestion control.