基于停靠时间的城市公共交通网络均衡客流分配模型研究

发布时间：2018-03-11 21:47

本文选题：公共交通　切入点：公交停靠时间　出处：《长安大学》2014年博士论文　论文类型：学位论文

【摘要】：本文首先通过对国内外学者对公共交通网络的研究进行了深入的研究和分析，包括公交停靠时间、公交网络均衡客流分配以及公交网络设计等方面，指出了这些研究的不足之处：公交停靠时间的研究没有反映公交车在公交站台停靠时间由乘客上车时间和下车时间两者之中最大值确定这一特点；公交网络均衡客流分配，没有考虑公交停靠时间对乘客出行行为、对均衡客流分配的影响，事实上，在许多城市由于上下车乘客数量很大，导致公交车停靠时间增加，进而也对乘客的出行路线选择产生影响。针对这些问题，本文主要做的研究包括：第一，在实际调查统计的基础上对公交停靠时间进行了研究，根据采集的数据提出了公交停靠时间的新的非线性模型，并给出了公交车在港湾式公交停靠站停靠时间的定义，包括公交车服务时间和公交车在港湾式公交站的无障碍行驶时间，进而给出公交车在港湾式公交停靠站停留时间的数学模型；第二，根据公交车在公交站停靠时间的研究结果，给出了基于公交停靠时间的公交网络均衡客流分配模型。针对公交网络均衡客流分配问题，本文首先给出了基于公交停靠时间的网络结构，并提出基于公交停靠时间的公交网络均衡定义。在此基础上，提出了城市公交网络均衡条件下的性质，进而得到网络均衡的等价最小化模型。利用提出的改进最优出行策略算法来求解基于公交停靠时间的公交网络的乘客出行选择问题，以及求解等价最优模型的连续平均算法（MSA）和加权连续平均算法(MSWA)；第三，提出了有能力约束的公交网络均衡客流分配模型。模型是基于公交停靠时间的公交网络均衡客流分配模型提出的，引入“有效频率”这个概念并通过构建双层网络模型来解决有能力约束情况的公交网络均衡客流分配问题；第四，基于公交停靠时间的公交网络均衡客流模型在城市公共交通网络设计的应用研究。针对许多大型城市公交车公共交通系统和地铁公共交通系统两个系统整合性和集成性差的现象，，本文提出新的基于公交停靠时间的公交网络均衡客流模型的城市公共交通网络模型---中心辐射型网络模型，通过在地铁站点附近建设枢纽站来提高公共交通效率，以及提高两个公共交通系统的整合性和集成性，最后使用混合遗传算法求解该模型。
[Abstract]:First of all, through the domestic and foreign scholars on the public transport network research in-depth research and analysis, including bus stop time, public transport network balanced passenger flow allocation and bus network design, and so on. The shortcomings of these studies are pointed out: the study of bus stop time does not reflect the characteristics that the bus stop time is determined by the maximum of passenger boarding time and the time of getting off the bus, and that the bus network distributes the balanced passenger flow. The impact of bus stop time on passenger travel behavior and distribution of passengers is not taken into account. In fact, in many cities, due to the large number of passengers on and off the bus, the bus stop time increases. In turn, it also has an impact on the choice of passenger route. In view of these problems, the main research in this paper includes: first, on the basis of actual investigation and statistics, the bus stop time is studied, and a new nonlinear model of bus stop time is proposed based on the collected data. The paper also gives the definition of bus stopping time at the port bus stop, including the bus service time and the free travel time of the bus at the harbor bus station. Then the mathematical model of the bus staying time at the harbor bus stop is given. Secondly, according to the research results of the bus stopping time at the bus stop, This paper presents a bus network equilibrium passenger flow allocation model based on the bus stop time. In view of the bus network equilibrium passenger flow allocation problem, this paper first gives the network structure based on the bus stop time. On the basis of the definition of bus network equilibrium based on bus stop time, the properties of urban bus network equilibrium are put forward. Then the equivalent minimization model of network equilibrium is obtained, and the improved optimal travel strategy algorithm is proposed to solve the passenger travel selection problem based on bus stopping time. And the continuous average algorithm (MSA) and weighted continuous average algorithm (MSWAA) for solving equivalent optimal model. Third, In this paper, a model of bus network equilibrium passenger flow allocation with capacity constraints is proposed, which is based on the bus stop time model. The concept of "effective frequency" is introduced and a two-layer network model is constructed to solve the problem of balanced passenger flow allocation in public transport networks with capacity constraints. 4th, Research on the Application of bus Network equilibrium passenger flow Model based on bus stop time in the Design of Urban Public Transport Network. Aiming at the integration of many large city bus public transport system and subway public transport system. Poor integration, In this paper, a new urban public transport network model-central radiation network model based on the bus stop time equilibrium passenger flow model is proposed to improve the efficiency of public transport by constructing hub stations near subway stations. And improve the integration and integration of the two public transport systems. Finally, the hybrid genetic algorithm is used to solve the model.
【学位授予单位】：长安大学
【学位级别】：博士
【学位授予年份】：2014
【分类号】：U491.17;U492.413

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