考虑线路输送能力利用的空间不均衡性,建立以线路输送能力利用率最大化、上线车组数和乘客出行费用最小化为目标,以交路形式、发车频率、列车编组为决策变量的多交路列车开行方案优化模型.设计线性加权法与遗传算法相结合的求解算法.结合算例,对比单一交路、嵌套交路和衔接交路最优开行方案下的列车运行效果及在不同客流特征下的适用性.结果表明,以输送能力利用率最大化为目标能够有效提升线路输送能力利用率及其空间均衡性,符合乘客和企业的共同利益;对于单峰型客流集中线路,保持最大客流断面位置及取值不变,当单峰内客流需求比例超过30％时,适宜开行多交路列车.%By considering the disparity of line conveying capacity utilization in space, the optimization model of train plan is established. The optimizing goals are the line conveying capacity utilization maximization, the used train number and passenger travel cost minimization. The decision variables are the routing plan, the formation plan and service frequency. The algorithm combined with linear weighting method and genetic algorithm is designed. The applicability of the single routing, nested routing and joint routing is analyzed under different demand situations. The result indicates that taking line conveying capacity utilization maximization as one optimizing goal can effectively improve the line conveying capacity utilization and spatial equilibrium. Multi-routing mode is suitable for one line of unimodal section passenger flow. Maintain the maximum passenger flow section position and value unchanged, and if the passenger demand in the unimodal sections is more than 30％, multi-routing modes are more suitable than single routing mode.
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