基于公交运营数据的复杂公交线网静态评价及优化研究

发布时间：2018-01-18 03:25

本文关键词：基于公交运营数据的复杂公交线网静态评价及优化研究　出处：《天津大学》2014年硕士论文　论文类型：学位论文

【摘要】：城市公交政策是在一定的交通发展战略控制之下,政府部门合理调控城市交通需求与供给、配置交通资源及经济负担等一系列制约关系的管理手段,同时也是制定交通法规的基本依据。近年来,随着国家“公交优先发展”战略的深入贯彻、公共交通基础设施的逐步建设以及公共交通系统信息化程度的不断提高,基于公交运营数据的挖掘与分析及对于公交系统的规划、调度算法研究的不断深入,公共交通线网早期规划的不合理、不均衡等问题随着城市规模的增长也日渐显露。如何提高公共交通系统运营效率逐渐成为制约大城市公交运力提升、中小城市城市化进程以及公交系统整体实现跨越式发展的重点问题。针对上述问题,本文拟通过对城市道路公交线网的模型搭建以及对公交系统运营中乘客乘车数据的挖掘与分析,评估公共交通系统资源占用情况,通过数理统计及可视化分析等方法,以降低并均衡公交系统资源占用为目的对公交线网进行优化,并通过基于原始乘客OD数据模拟并仿真线网变更后乘客群体的出行路径数据对优化结果予以验证。本研究课题的现实意义旨在满足乘客群体出行需求与维持公共交通系统运力不变的大前提下,尽可能减少对于公共交通资源的占用,并且使该占用分布更加均匀,以实际需求的驱动降低公共交通系统综合运营成本。本文将从智能交通大数据分析的角度切入,结合蚁群模型、复杂系统与网络、数理统计、数据挖掘、数据可视化及图论中相关基础理论进行研究,并对文中涉及的具体方法予以编程实现。
[Abstract]:Urban public transport policy is a series of management means to control the relationship between urban traffic demand and supply, allocate traffic resources and economic burden, and so on, under the control of certain traffic development strategy. In recent years, with the implementation of the national "public transport priority development" strategy. The gradual construction of public transport infrastructure and the continuous improvement of the degree of information of public transport system, based on the mining and analysis of public transport operation data and for the planning of public transport system, scheduling algorithm research continues to deepen. The problems of unreasonable and unbalanced planning of public transportation network in the early stage are becoming more and more obvious along with the growth of city scale. How to improve the efficiency of public transportation system has gradually become a constraint to the improvement of public transport capacity in large cities. Small and medium-sized cities urbanization process and the public transport system as a whole to achieve leapfrog development of the key issues. This paper aims to evaluate the resource occupation of public transport system by constructing the model of urban road transit network and mining and analyzing passenger data in the operation of public transport system. By means of mathematical statistics and visual analysis, the bus network is optimized in order to reduce and balance the occupation of public transportation system resources. The optimization results are verified by simulating and simulating the travel path data of passenger groups after the change of line network based on the original passenger OD data. The practical significance of this research is to meet the travel needs of passenger groups and maintain the public. Under the premise that the transportation capacity of the common transportation system remains unchanged. Minimize the use of public transport resources, and make the occupation more evenly distributed. Reduce the integrated operation cost of public transportation system by driving the actual demand. In this paper, from the perspective of intelligent transportation big data analysis, combined with ant colony model, complex systems and networks, mathematical statistics, data mining. The related basic theories in data visualization and graph theory are studied, and the specific methods involved in this paper are realized by programming.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U491.17

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