Timetable Optimization Based on Actual Timetable for Urban Rail Transit System
Lei Gao, Guangzheng Bai, Liang Li, Weihua Chen
Abstract
Lei Gao, Guangzheng Bai, Liang Li, Weihua Chen
Abstract
The passenger flow is the main reference in the compilation of the timetable of urban rail transit system, which has the characteristics of lagging adjustment of the timetable and the change of passenger flow. After the network operation of urban rail transit system, the increase of passenger flow will lead to deviation of station stop time and other indicators. In the process of operation, the actual timetable will record all-day operation index data, find out the deviation characteristics of the timetable through continuous data analysis, and make pertinent adjustments to the timetable. By comparing and analyzing the arrival/departure time, running time in section and turn-back time of Chongqing line 10 with the timetable, this paper finds out the characteristics of the deviation of data indicators, and puts forward adjusting the service time of additional train during peak period, reducing the number of trains on-line by long-short route, using energy-saving train operation grade and running interval. The feasibility of the optimization scheme is verified by data calculation.
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The passenger flow is the main reference in the compilation of the timetable of urban rail transit system, which has the characteristics of lagging adjustment of the timetable and the change of passenger flow. After the network operation of urban rail transit system, the increase of passenger flow will lead to deviation of station stop time and other indicators. In the process of operation, the actual timetable will record all-day operation index data, find out the deviation characteristics of the timetable through continuous data analysis, and make pertinent adjustments to the timetable. By comparing and analyzing the arrival/departure time, running time in section and turn-back time of Chongqing line 10 with the timetable, this paper finds out the characteristics of the deviation of data indicators, and puts forward adjusting the service time of additional train during peak period, reducing the number of trains on-line by long-short route, using energy-saving train operation grade and running interval. The feasibility of the optimization scheme is verified by data calculation.
Key concepts: Train, Urban rail transit, Lagging, Transport engineering, Interval (graph theory), Rail transit, Rail network, Process (computing)