基于客流时空分布的城市轨道交通线路行车计划优化方案

城市轨道交通发展往往需经历新线开通、客流增长、运能不足几个阶段。城市轨道交通进入网络化运营后，客流会大幅增长且变化多样，从而使得运营组织难度也大幅增加，因此深入分析、掌握城市轨道交通客流的时空分布特性，根据其特性优化全日行车计划，对于城市轨道交通提高运营效率、运营质量具有重要的意义。重点分析城市轨道交通客流时空分布的具体特性，提出行车间隔及开行对数优化模型，并利用有序样品最优分割法对运营时段进行划分，从而达到优化全日行车计划的目的。

Optimization Scheme of the Urban Rail Transit Line Driving Plan Based on Temporal and Spatial Passenger Flow Distribution

The development of urban rail transit often goes through several stages, such as new line opening, passenger flow growth, and insufficient transportation capacity. When it enters the network operation stage, passenger flow will significantly increase and change, which makes operational organization more difficult. Hence, the temporal and spatial distribution characteristics of urban rail transit passenger flow are analyzed in detail. According to these characteristics, optimizing the full-day driving plan is of great significance for improving the operational efficiency and operational quality of urban rail transit. This paper focuses on the analysis of the temporal and spatial passenger flow distribution characteristics; proposes the driving interval and logarithm optimization model; and uses the optimal cut method for orderly samples to divide the operational time and achieve the purpose of optimizing the full-day operation plan.