高速铁路停站方案与客流分担率的反馈优化研究

Feedback Optimization of High-speed Railway Stopping Scheme and Passenger Flow Sharing Rate

为提升高速铁路在综合运输市场的客流分担率,同时提高旅客出行效率,本文基于高速铁路停站方案与客流分担率的相互作用,以高速铁路客流量最大和列车总停站次数最小为目标,以列车停站次数、直达及换乘客流需求等为约束条件,建立高速铁路停站方案与客流分担率的反馈优化模型,并利用自适应并行禁忌算法对其求解。最后以京沪高铁为例对停站方案进行优化,结果表明:优化后停站总次数减少8.4%,旅客旅行时间缩短,出行效率得以提升;各级节点客流需求都有增长,尤其一级节点等大站增幅均超过7%;大站间长途旅客列车客流分担率增幅超过12%。研究成果可为高速铁路停站方案优化进一步提供合理参考。

In order to improve the passenger flow sharing rate of high-speed railway in the comprehensive transportation market and improve the passenger travel efficiency, based on the interaction between the highspeed railway stop scheme and the passenger flow sharing rate, this paper establishes a feedback optimization model for the high-speed railway stop scheme and the passenger flow sharing rate with the goal of maximizing the passenger flow of high-speed railway and minimizing the total number of train stops, and taking the number of train stops, the demand for direct and exchange passenger flows as constraints. The adaptive parallel tabu algorithm is used to solve it. Finally, taking the Beijing Shanghai high-speed railway as an example, the parking scheme is optimized. The results show that the total number of stops is reduced by 8.4%, the travel time of passengers is shortened, and the travel efficiency is improved;the passenger flow demand of nodes at all levels has increased, especially the growth of large stations such as the first level nodes has exceeded 7%;the passenger flow sharing rate of long-distance passenger trains between major stations increased by more than 12%. The research results can provide a reasonable reference for the optimization of high-speed railway stopping scheme.