A distributed trip behaviour detection devices with the capability of collecting WiFi information is designed for identifying trip characteristics of urban rail transit system with complex network. Trip characteristics like distribution of trip time, route choice, travel time and transfer interval can be identified by collecting MAC(Media Access Control) of mobile devices with a procedure of setting devices, data process, trip detection and missing information process. The field experiments in Xi’an Metro system with detailed AFC data indicate that the proposed system can identify trip characteristics accurately. The information collected by this system can be utilized for precise operations management like income distribution, station design.
Papers Presented at the 2018 37th Southern African Transport Conference 9-12 July 2018 Pretoria, South Africa. Theme "Towards a desired transport future: safe, sufficient and affordable".