城市有轨电车中央运行子系统的研究

发布时间：2018-03-24 16:14

本文选题：城市有轨电车　切入点：中央运行子系统　出处：《兰州交通大学》2015年硕士论文

【摘要】：随着交通拥堵问题及环境污染日益加重,城市有轨电车逐渐进入人们的视野。城市有轨电车作为一种“绿色”交通工具,在速度、运量、环保节能、舒适性方面都是普通公共汽车无法相比的,而且相对于其它城市轨道交通而言,城市有轨电车具有造价低、建设周期短等特点,是解决中小城市交通问题的较佳选择。城市有轨电车运行控制系统作为城市有轨电车的关键系统,负责整个城市有轨电车安全、可靠运行以及运营调度。目前,我国对城市有轨电车运行控制系统的研究还未达到成熟阶段,因此,对城市有轨电车运行控制系统进行深入的研究迫在眉睫。本文针对城市有轨电车运行路网与公路交通存在交叉这一特殊性,以及目前城市有轨电车列车运行调整方式的落后性,为了提高整个交通路网的运行效益。对城市有轨电车列车运行自动调整进行研究,设计城市有轨电车交叉口优先权并制定优先权分配策略,进行交叉口的信号配时优化,完成城市有轨电车中央运行子系统软件设计。首先,根据城市有轨电车运行业务流程,分析城市有轨电车中央运行子系统功能需求,在此基础上,设计城市有轨电车运行控制系统总体结构及城市有轨电车中央运行子系统总体结构。其次,分析城市有轨电车列车运行调整的特点,引入“虚站台”概念,建立城市有轨电车列车运行自动调整模型,采用IM-PSO(Immune Particle Swarm Optimization,免疫粒子群算法)对建立的模型进行求解,详细阐述IM-PSO在城市有轨电车列车运行调整中的应用过程,并结合广州海珠区环岛城市有轨电车试验段数据进行实例仿真验证。再次,分析城市有轨电车优先干线协调控制原理,完成城市有轨电车交叉口优先权设计,在此基础上,引入双层规划理论,建立双层的信号配时优化模型并求解,采用Vissim软件进行仿真评价,将协调优化模型的信号配时方案与传统信号配时方案进行比较。比较结果表明,干线信号协调控制能够很好的处理城市有轨电车与其他社会车辆在交叉口的冲突,减少人均延误,提高整个交通效益。最后,完成城市有轨电车中央运行子系统软件总体设计,利用Visual C++6.0编程环境和Access数据库实现中央运行子系统主要功能模块的仿真。仿真结果证明本文研究的中央运行子系统满足城市有轨电车运行业务需求。
[Abstract]:As traffic congestion and environmental pollution become more and more serious, urban trams gradually enter people's view. As a kind of "green" means of transportation, urban trams are in speed, volume, environmental protection and energy saving. Compared with other urban rail transit, urban trams have the characteristics of low cost, short construction period and so on. As the key system of urban tram, it is responsible for the safety, reliable operation and operation scheduling of trams in the whole city. The study of urban tram operation control system in China has not reached the mature stage, therefore, It is urgent to study the operation control system of urban tram. This paper aims at the particularity of the intersection between the tram running network and the highway traffic, and the backwardness of the adjustment mode of the tram running in the city at present. In order to improve the operation efficiency of the whole traffic network, the automatic adjustment of urban tram train operation is studied, the priority of urban tram intersection is designed and the priority allocation strategy is formulated, and the signal timing optimization of intersection is carried out. First of all, according to the operation business process of urban tram, the functional requirements of central operation subsystem of urban tram are analyzed, and on this basis, The general structure of urban tram operation control system and the overall structure of central operation subsystem of urban tram are designed. Secondly, the characteristics of urban tram train operation adjustment are analyzed, and the concept of "virtual platform" is introduced. The automatic adjustment model of urban tram train operation is established, and the model is solved by IM-PSO(Immune Particle Swarm optimization (immune particle swarm optimization). The application process of IM-PSO in urban tram train operation adjustment is described in detail. Based on the experimental data of urban tram in Haizhu District, Guangzhou, the paper analyzes the principle of coordinated control of urban tram priority trunk line, and completes the priority design of urban tram intersection. By introducing the theory of bilevel programming, a two-layer signal timing optimization model is established and solved. The signal timing scheme of the coordinated optimization model is compared with that of the traditional signal timing scheme by using Vissim software. The coordinated control of trunk signals can deal with the conflicts between urban trams and other social vehicles at intersections, reduce the per capita delay and improve the overall traffic efficiency. Finally, the overall software design of the central operation subsystem of urban trams is completed. Using Visual C 6.0 programming environment and Access database to realize the simulation of the main functional modules of central operation subsystem, the simulation results show that the central operation subsystem of this paper can meet the needs of urban tram operation business.
【学位授予单位】：兰州交通大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U492.433

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