考虑客流聚集风险的轨道交通跨站停车方案优化

Optimization of skip-stop strategy for urban rail transit considering passenger flow aggregation risk

针对城市轨道交通系统站台客流聚集风险问题,定义站台风险等级及风险阈值,以最大化列车停靠站点风险等级总和及最小化列车运营间隔为规划目标,基于风险阈值,设定满足单列车基本开行条件、多列车追踪条件、乘客出行要求的约束条件,建立跨站停车方案双目标规划优化模型;最后使用以分层序列法为内核的迭代算法求解模型,并通过算例验证模型。结果表明:由优化模型得到的跨站停车方案较常规方案解决线路站台客流聚集风险的能力提升了66.7%,线路通过能力提升10.5%,优化方案能够在满足乘客出行要求的同时解决线路站台整体风险问题。

Aiming at the problem of passenger flow aggregation risk at the platform of urban rail transit system,the platform risk level and risk threshold are defined.Taking maximizing the sum of risk levels of train parking stations and minimizing the train operation intervals as the planning objectives,based on the risk threshold,the constraint conditions that meet the basic operation of a single train,the multi-train tracking conditions and passenger travel requirements were set,and a bi-objective programming model for the skip-stop strategy is established.Finally,an iterative algorithm with hierarchical sequence method as the core is used to solve the model,and the model is verified by an example.The results show that the capacity of the skip-stop strategy obtained from the optimization model to solve the risk of passenger flow aggregation on the line platform is increased by 66.7%,and the rail line capacity is increased by 10.5%compared with that of the conventional scheme.The optimization strategy can solve the overall risk problem of the line platform while meeting the travel requirements of passengers.