Passengers’ Dynamic Travel Route Choice Modeling Based On Congestion Index In Urban Rail Transit Networks

Urban rail transit has become an indispensable travel mode for people in big cities.With the increasing improvement of living standards,when people take urban rail transit,their preferences for travel routes are also diversified.On the basis of conventional travel requirements such as the shortest travel distance and the least travel time,travel comfort is more and more concerned by passengers.In the process of travel route selection,how to consider the comfort of the urban rail transit travel chain has become a problem that needs to be solved.This paper comprehensively considers the crowding degree of pedestrian passages,stairs,platforms and carriages in the process of urban rail transit travel.Based on complex network theory,a passenger travel route selection model for urban rail transit network is established,and an urban rail transit passenger route selection model system is constructed.The main research contents and achievements of this paper are as follows:(1)Based on the analysis of the questionnaire on the influencing factors of urban rail transit passengers’ travel route choice behavior,the main factors affecting the passenger route choice are determined,which are divided into travel time,transfer times and crowding degree.(2)A crowded impedance model with crowding index as the independent variable is established by improving the BPR impedance function.The model uses the congestion impedance coefficient to quantify the influence of the travel time on the congestion state,and determines the functional relationship between the congestion index and the travel time.Based on the measured data,the parameters in the congestion impedance model of the channel,platform and carriage are calibrated.(3)According to graph theory and complex network directed graph theory,a depthfirst k-short effective path search algorithm based on traversal graph is established,which makes up for Dial algorithm and k-short path algorithm.The algorithm avoids the situation of missing paths in the effective path search process.(4)In order to determine the path selection probability,the generalized cost function is constructed by analyzing the travel process of passengers.The path random utility model with the generalized cost as the utility value is established,and the model parameters are calibrated by the maximum likelihood estimation method.(5)An urban rail transit passenger route selection model system considering comfort is established.On the basis of the shortest path selection model and the non-sorted path selection model with the least number of transfers,the calculation method of path comprehensive congestion index is established,and the path random utility model is introduced to determine the path selection probability considering comfort.Synthesizing the influencing factors of route selection,a comprehensive route selection model to meet the diverse needs of passengers is constructed.(6)Taking the Beijing rail transit network as an example,two pairs of travel start and end points are selected for calculation examples.The best results of different model path selection are obtained,which verifies the feasibility of the model.