时空非均衡客流下的列车时刻表与车底运用联合优化OA

The imbalance in passenger flow distribution on urban rail transit lines leads to a mismatch between passenger travel demand and enterprise capacity.To improve passengers'travel efficiency and reduce enterprises'operational costs,this study investigated the joint optimization of train timetables and rolling stock circulation for multi-route skip-stop tactics within an asymmetric transportation model.An integrated optimization model for train timetable and rolling stock circulation of urban rail transit was developed based on rail transit lines of multiple depots,aiming to minimize total passenger travel time and operational cost while satisfying constraints on timetables,passenger flow allocation,rolling stock succession,and utilization.A hybrid solution strategy combining NSGA-Ⅱ and Gurobi was designed to solve this model.Finally,to verify the model's effectiveness and applicability,an analysis was conducted based on the actual operating lines of a city.The results show that compared to the current timetable,the proposed optimization scheme reduces passenger travel time by 6.09%and lowers total train operating costs by 6.13%.This optimization enhances resource allocation efficiency and improves passenger service quality.