Public Transit Service Bottleneck Diagnosis Index System Based on Automated Data Collection

摘要

Urban public transportation system is an essential component of urban infrastructure. The service quality of urban public transportation system is closely related to living quality of citizens. Automated Data collection systems such as bus IC card and GPS systems have been widely equipped in China. These systems contain large amount of information for traffic administrators. This paper uses data mining technology to extract information useful for bus service bottleneck identification from ADC systems. The bottleneck identification index system concerns about both bus service reliability and convenience. It is consisted of 4 indices: excessive travel time, travel time regularity, degree of punctual at station and average waiting time at station. The definition and calculation of each index is described in the paper.