In urban rail transit vehicle operation, there are often cases of waste or insufficient capacity owing to the inconsistency between the predicted passenger flow intensity at the planning stage and the actual negative passenger flow intensity. This study focuses on a single line in an urban transit line. The objective is to minimize passenger waiting time and congestion costs while ensuring passenger satisfaction. The constraints are controlled by the passenger flow, maximum full capacity, and train dwell time. Considering the relationship between the intensity of passenger flow and train timetable departure time interval, we constructed an optimization model for urban rail transit train timetables under load-based conditions. Optimization of train timetables of rail transit lines in a southern city using an improved genetic algorithm. The results show that compared with the train timetable produced by equal departing time intervals, the optimized train timetable can reasonably control the full load rate of passenger vehicles on the mainline and reduce the cost of passenger travel time and standing passenger density.
Optimization study of train timetables of urban rail transit under load conditions
International Conference on Smart Transportation and City Engineering (STCE 2024) ; 2024 ; Chongqing, China
Proc. SPIE ; 13575
28.04.2025
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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