Commuter Travel Identification Based on Bus IC Data

Urban road traffic congestion is a large problem in many cities of China, particularly in the peak hours. During peak periods the commuter travel takes part in a majority proportion of the residents’ travel. This paper aims to identify the commuter travel among numerous bus travels by using the Integrated Circuit (IC) data only. With the method of cluster analysis, the stops at which passengers get on the bus are identified from the time recorded in IC data. Then the popular origins and destinations of commuter travel are found based on the trip chaining theory. A case study on Harbin is conducted at last to verify the proposed method.