城市轨道交通接驳公交线路设计问题
发布时间：2018-12-10 23:26
【摘要】：城市交通拥堵问题已经成为制约我国经济社会发展的瓶颈因素之一,构建以轨道交通为骨干,常规公交为主体的一体化公共交通系统已经成为缓解城市交通拥堵的有效途径之一。轨道交通和常规公交的有效衔接是公共交通一体化的重要内容,然而我国大多数城市在持续加快轨道交通建设的同时,没有重视轨道交通和常规公交的协调关系,导致轨道交通和常规公交相互竞争,系统运行效率低下,公共交通系统一体化进程缓慢。在此背景下,本论文对城市轨道交通接驳公交线路设计问题进行深入研究。本文首先对城市轨道交通和常规公交的技术特性、社会经济效益、舒适度和服务范围作了详细对比分析,明确了轨道交通和常规公交的功能定位,并分析了接驳的目标与原则、接驳区域划分、接驳站点选取和接驳线路的布设模式。然后详细分析了接驳公交出行中乘客等待时间成本、乘客乘车时间成本以及公交车辆运营成本,以城市轨道交通接驳公交系统总成本最小为目标,考虑公交线路布局约束、乘客流量守恒约束、以及公交运能约束等,构建了放射型和环型城市轨道交通接驳公交线路优化模型,对接驳公交线路布局以及开行频率进行优化。针对放射型接驳公交模型和环型公交接驳模型的模型特点,设计了人工蜂群算法、遗传算法和混合粒子群等三种不同的启发式算法对模型进行求解。采用数值算例验证了提出的模型和算法的有效性和可行性。研究结果表明：提出的三种算法均能够求解得到最优的接驳公交线路布局和开行频率,其中人工蜂群算法在接驳公交线路模型的求解质量、稳定性和效率方面相对于另外两种算法具有一定的优势,为相关模型的求解提供了经验借鉴。
[Abstract]:The problem of urban traffic congestion has become one of the bottleneck factors restricting the economic and social development of our country. The integrated public transport system with conventional public transport as the main body has become one of the effective ways to alleviate urban traffic congestion. The effective connection between rail transit and conventional public transport is an important part of the integration of public transportation. However, while speeding up the construction of rail transit continuously, most cities in China have not attached importance to the coordination relationship between rail transit and conventional public transport. As a result, rail transit and conventional public transport compete with each other, the system runs inefficiently and the process of integration of public transportation system is slow. Under this background, this paper makes a deep research on the design of urban rail transit connection bus line. In this paper, the technical characteristics, social and economic benefits, comfort and service range of urban rail transit and conventional public transport are compared and analyzed in detail, and the function orientation of rail transit and conventional public transport is clarified, and the objectives and principles of connection are analyzed. The connection area division, the connection station selection and the connection line layout pattern. Then the cost of passenger waiting time, passenger travel time and bus operation cost are analyzed in detail. Taking the minimum total cost of urban rail transit system as the goal, the constraints of bus route layout are considered. Based on the conserved restriction of passenger flow and the restriction of transit capacity, the optimization model of bus connection line of radiation-type and annular urban rail transit is constructed, and the layout and frequency of connecting bus line are optimized. According to the characteristics of radiation-connected bus model and annular bus connection model, three different heuristic algorithms, artificial bee colony algorithm, genetic algorithm and hybrid particle swarm optimization, are designed to solve the model. Numerical examples are used to verify the validity and feasibility of the proposed model and algorithm. The results show that the proposed three algorithms can solve the optimal bus route layout and frequency, and the artificial bee colony algorithm is used to solve the quality of the bus connection model. The stability and efficiency have some advantages over the other two algorithms, which can be used for reference to solve the related models.
【学位授予单位】：合肥工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U12
本文编号：2371407
[Abstract]:The problem of urban traffic congestion has become one of the bottleneck factors restricting the economic and social development of our country. The integrated public transport system with conventional public transport as the main body has become one of the effective ways to alleviate urban traffic congestion. The effective connection between rail transit and conventional public transport is an important part of the integration of public transportation. However, while speeding up the construction of rail transit continuously, most cities in China have not attached importance to the coordination relationship between rail transit and conventional public transport. As a result, rail transit and conventional public transport compete with each other, the system runs inefficiently and the process of integration of public transportation system is slow. Under this background, this paper makes a deep research on the design of urban rail transit connection bus line. In this paper, the technical characteristics, social and economic benefits, comfort and service range of urban rail transit and conventional public transport are compared and analyzed in detail, and the function orientation of rail transit and conventional public transport is clarified, and the objectives and principles of connection are analyzed. The connection area division, the connection station selection and the connection line layout pattern. Then the cost of passenger waiting time, passenger travel time and bus operation cost are analyzed in detail. Taking the minimum total cost of urban rail transit system as the goal, the constraints of bus route layout are considered. Based on the conserved restriction of passenger flow and the restriction of transit capacity, the optimization model of bus connection line of radiation-type and annular urban rail transit is constructed, and the layout and frequency of connecting bus line are optimized. According to the characteristics of radiation-connected bus model and annular bus connection model, three different heuristic algorithms, artificial bee colony algorithm, genetic algorithm and hybrid particle swarm optimization, are designed to solve the model. Numerical examples are used to verify the validity and feasibility of the proposed model and algorithm. The results show that the proposed three algorithms can solve the optimal bus route layout and frequency, and the artificial bee colony algorithm is used to solve the quality of the bus connection model. The stability and efficiency have some advantages over the other two algorithms, which can be used for reference to solve the related models.
【学位授予单位】：合肥工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U12
【参考文献】
相关期刊论文 前1条
1 王鹤;邵良杉;邱云飞;;蚁群算法在城市公交线网优化中的应用[J];微计算机信息;2011年03期
，本文编号：2371407
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