随机客流条件下城市轨道交通列车时刻表优化研究

项目名称： 随机客流条件下城市轨道交通列车时刻表优化研究

项目编号： No.61304196

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 自动化技术、计算机技术

项目作者： 孙绪彬

作者单位： 北京交通大学

项目金额： 24万元

中文摘要： 城市轨道交通是解决大城市道路拥堵的重要手段，如何提高乘客满意度、降低列车运行成本是决定我国城市轨道交通发展的关键。本项目将考虑城市轨道交通客流随机性与时空分布非均衡的特点，开展高峰和非高峰时段列车时刻表优化方法研究。本项目的主要研究内容包括：基于实际客流数据提取客流随机分布特征，建立高峰时段和非高峰时段候车和车载等客流随机动态模型，其中高峰时段客流随机动态模型将引入0-1状态变量，以表达列车高峰时段的列车是否满载的状态；以客流随机动态模型、列车间隔动态模型和其他列车运行约束为时刻表优化的约束条件，以乘客旅行时间和列车运行成本为优化指标建立列车时刻表随机优化模型；最终通过分层优化方法实现随机优化模型的求解，上层负责下层各子问题的总体协调，下层对随机优化子问题进行求解。本项目的研究为制定符合客流特征的城市轨道交通列车时刻表提供理论支持，以实现城市轨道交通客流和列车流的协同优化。

中文关键词： 时刻表优化；随机客流；停站时间；再生制动；

英文摘要： Uran raill transit is an important measure to solve traffic congestion and vehicle emission of large cities. How to improve service quality and reduce operation cost is a key issue to guarantee the development of urban rail transit. Timetalbe optimization method in both peak hours and off-peak hours for uraban rail transit will be investigated in this project, considering randomness and temporal-spatial distribution of passenger flow. The main research contents of this project inlude: The characteristic stochastic distribution of passenger flow will be abstracted based on data sampling from Auto Fare Collection(AFC); Stochastic passenger flow equations of subway, include stochastic equations of waiting passenger flow and passenger flow on-board, in both peak hours and off-peak hours will be established, where the one for peak hours will cinlude state variables to represent the full-load state of the subway train. Stochastic timetable optimization model will be constructed with dynamic headway equations of train flow, stochastic passenger flow equations and other operation constraints such as miminum headway, where passenger travel time and operation cost are modeled as optimization indexes; The stochastic timetable optimization problem will be calculated by hierarchic optimization, where the upper level coordin

英文关键词： Timetable optimization；Stochastic passenger flow；Dwell time；Regenerative braking；