关键词: 城市交通, 路径规划, 路径选择行为分析, 个性化, 车内拥挤度

Abstract:

With the rapid development of urban rail transit network, increased available routes make passengers’trip decision- making become more and more difficult. This study proposes a dynamic metro route planning algorithm with the least generalized cost, in which network LOS variables and personal characteristics are taken into consideration. Firstly, based on the disaggregate choice theory, the metro route choice models for different types of passengers are established with the consideration of LOS variables (e.g. in- vehicle travel time, transfer time, number of transfers, in- vehicle passenger density, etc.) and personal characteristics (e.g. age, trip purpose, etc.). Then, based on the proposed models and the time-varied sectional flow volume, a dynamic personalized route planning algorithm is proposed, which is expected to generate the optimal route with the least generalized time for each type of passengers. Finally, the proposed algorithm is evaluated in Guangzhou Metro conditions. The results indicate that the algorithm can provide passengers with the more reasonable route corresponding with their characteristics, and expresses passenger’s route choice preference more precisely.

Key words: urban traffic, route planning, route choice behavior analysis, personalized, in-vehicle passenger density