考虑拥挤的轨道交通网络时刻表协调优化建模

以非连通型城市轨道交通网络为研究对象,根据城市轨道交通网络周期性运行特点,在深入考虑拥挤及换乘客流脉冲性到达特征的前提下,给出1个循环周期内城市轨道交通网络运营费用及乘客出行费用计算方法.并在此基础上,以各运营线路发车间隔及发车时刻相位差为决策变量,以乘客及运营企业的综合费用最小为目标,以列车发车间隔、列车容量、站台容量、运营补贴等为约束,建立城市轨道交通网络列车时刻表优化模型.根据模型特点,提出了一种基于仿真的遗传算法对模型进行求解.算例结果显示,与既有优化方法相比,本文模型能够更加细致地刻画乘客换乘过程,有效降低系统综合费用,并确保各项服务指标在安全范围之内.

Congestion-based Timetable Synchronization Optimization Model in Urban Subway Network

Aimed at a typical unconnected urban rail network, calculation methods of passenger cost and operating cost in a cycle period are presented based on the periodicity service characteristics of the network and the deep consideration of congestion and transfer passengers' impulsive arrival characteristic. Then, a timetable design model for urban rail network is proposed to minimize of the system comprehensive cost of both passengers and operators. This model aims to determine the headways of each line and the offset times between different lines under the constraints of safety headway, train and platform capacities, and operating subsidy. To solve the problem, a simulation-based genetic algorithm is introduced based on the characteristics of the proposed model. Results show that the proposed model can describe passengers’ transfer process more accurately and reduce system comprehensive cost more effectively than the existing optimal methods. And the service indicators obtained by the proposed model are all kept in the range of security.