An Optimization Method of Train Timetable with Short-length Services Based on Flexible Interval and Stock Sharing
Based on the unbalanced distribution of passenger flow in time and space,this paper analyzes the constraints related to train operation,rolling stock application and turnaround,and passenger travel behavior in the full-and short-length mode to improve the supply and demand matching degree.A timetabling model of full-and short-length mode based on flexible headway and rolling stock application is established,and a mixed integer linear programming algorithm based on objective decomposition is proposed.One metro line is set as an example to verify the feasibility of the model.The results indicate that flexible headway and short-length strategy can optimize transport capacity supply from a spatiotemporal perspective,effectively reducing the number of passengers gathered at the platform.Adopting a shared mode is beneficial for reducing the stock number.Flexible headway will change the headways at different periods and increase the stock number required for the timetable.It indicates that the proposed method has good applicability and stability,and can provide a reference for optimizing the train timetable of urban rail transit.
Train timetableFull and short-lengthFlexible headwayStock sharingSupply and demand
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