A PassengerClassification Transportation Assignment Model for Urban Public Traffic Corridor

Abstract:

By classifying transport passengers, this paper proposed a dynamic traffic assignment model for urban public transport corridor. Based upon the stochastic userequilibrium theory, the proposed model introduced temporal factors and passenger attributes into the existing static equilibrium model. The model aimed to simulate the travel behavior of different passengers, including their selection of the departure time and transit routes. The assumption of the proposed model and a solution algorithm were proposed. The result shows that the timevarying and passenger categorization of the model make it available not only to virtually reflect the temporal and spatial distribution of various passengers, but to investigate the efficiency of different improvement measures for corridors. The adjustments made in the working hour and transit fare lead to a 24% reduction in the passenger flow during peak hours. The passengers of rail transit decrease from 82% to 71%, while the passengers of bus increase from 11% to 20%. These adjustments contribute to a significant reduction in the traffic loading and result in a more even utilization of transport modes. Therefore, the proposed model provides a useful tool for function optimization and efficiency enhancement of urban public transport corridors.