组合扣票策略下高铁快运阶段性运力优化研究OA

China's high-speed rail express(HSRE)has expanded rapidly,relying on the marginal capacity of the high-speed rail(HSR)network in the short term.Enhancing the utilization of this capacity is therefore of great significance.To address the coordinated development of passenger and express services,this study constructed a service network model that represents a three-layer HSR capacity scheduling mechanism of"train-passenger-express".First,an A* algorithm and Yen's K-shortest path algorithm based on transfer-state arcs were designed to generate a multi-path set.A ticket-blocking strategy was then proposed to coordinate passenger flow adjustment within combined train groups.An optimization model for HSRE periodic capacity was formulated with the objective of minimizing the combined impact of passenger flow transfer,express loss,transshipment,and express capacity instability.The model incorporated constraints such as flow balance,maximum passenger load factor of ticket-blocked trains,and dynamic piggybacking capacity,and was solved using Gurobi.Finally,case studies based on Beijing-Shanghai HSR operational data verified the model's effectiveness.Results show that,driven by cargo demand,the proposed strategy enables rational passenger flow redistribution,increases the number of ticket-blocked trains,and enhances HSRE capacity in target directions by converting idle passenger capacity into stable express capacity.It is further recommended to adopt measures such as establishing differentiated standards for the maximum passenger load factor of ticket-blocked trains and setting refined standards for passenger flow transfer times so as to fully exploit the marginal capacity.The research enhances the capacity and stability of HSRE while providing a theoretical basis for transport enterprises to optimize periodic capacity scheduling.