Abstract:

Based on the analysis of the components of passenger travel time in urban rail transit, a traffic smart card data based model for personal route choice was proposed in this paper, which  overcame the disadvantages of traditional path selection models only taking route selection for group into account. Firstly, by analyzing the characteristics of rail transit trip using smart card, the travel time model was established, the travel time factors were confirmed, and their independence was analyzed. Then, travel factors were estimated, the route travel time was calculated, and the personal travel route choice model was proposed. Finally, taking the Beijing metro network as a case, the personal route choice was analyzed, and the effectiveness of the model was verified by the actual data.

Key words: rail transit, route choice, traffic smart card data, urban traffic