基于GIS和智能体的公交运行仿真评价研究

发布时间：2018-01-08 08:09

本文关键词：基于GIS和智能体的公交运行仿真评价研究　出处：《北京建筑大学》2014年硕士论文　论文类型：学位论文

【摘要】：近年来，国家出台多项政策大力支持发展公共交通。全国各省市积极加快城市公交线网优化和设施建设，城市公交服务覆盖面不断扩大。然而，国内城市公交的利用率普遍偏低，没有发挥出应有的作用。为了提高公共交通利用率，在科学规划线路的同时，更要优化公交线路的服务质量。智能公交调度系统是智能公共交通系统的重要组成部分，合理的调度策略能够为乘客提供更好的公交服务，从而提供更加经济、便捷、舒适、高效、环保的公交服务，提高公交的吸引力和分担力。公交发车计划作为公交调度的最关键部分之一，制定科学合理的发车计划，提高公交服务质量，为公交车的智能调度提供分析方法和决策依据。本文以常规公交为研究对象，对IC卡刷卡数据进行常规统计，分析客流规律，拟合出各个公交站点的客流吸引率曲线，分析得出各个站点的下车人数与车上人数的比例固定，由此可推测各个站点的下车人数。利用公交车GPS轨迹数据，计算出车辆在站间的运行时间，并根据时段、路段等信息，基于SVM算法，预测不同时段不同路段的行程时间。分析智能体技术以及ABMS方法建立公交复杂系统的适用性，比较几种主流的仿真平台，并详细介绍了研究中使用的仿真平台Repast Simphony，包括平台简介、平台功能和平台仿真流程。然后本文详细介绍了建立发车频率规划模型的过程，该模型综合考虑了企业满意度、乘客候车满意度和乘客乘车满意度。最后本文选取了北京673路作为仿真线路，详细介绍了仿真智能体的建立过程以及在仿真平台中的实现，，最后得出较好的仿真结果，达到了优化发车计划的目的。
[Abstract]:In recent years, the state has issued a number of policies to support the development of public transport. Provinces and cities throughout the country actively speed up the optimization of urban transit network and facilities construction, urban public transport service coverage continues to expand. The utilization rate of urban public transport in China is generally low and has not played its due role. In order to improve the utilization ratio of public transport, the route is planned scientifically at the same time. Intelligent public transport scheduling system is an important part of intelligent public transport system, reasonable scheduling strategy can provide better bus service for passengers, thus providing more economic. Convenient, comfortable, efficient, environmental protection of public transport services, improve the attractiveness and sharing of public transport. As one of the most critical part of bus dispatch, make a scientific and reasonable departure plan. Improve the quality of bus service, and provide analysis method and decision basis for intelligent bus dispatching. This paper takes routine bus as the research object, carries on the routine statistics to the IC card swipe card data, analyzes the passenger flow rule, and fits the curve of the passenger flow attraction rate of each bus station. The ratio of the number of people getting off and the number of people on the bus is fixed, and the number of people getting off from each station can be inferred. Using the GPS track data of the bus, the running time of the vehicle between the stations can be calculated. Based on the information of time and section, and based on SVM algorithm, the travel time of different sections in different periods is predicted. The applicability of agent technology and ABMS method to establish complex bus system is analyzed. This paper compares several mainstream simulation platforms, and introduces in detail the simulation platform Repast Simphony, which is used in the research, including a brief introduction of the platform. The platform function and platform simulation flow. Then, this paper introduces the process of establishing the departure frequency planning model in detail, which considers the enterprise satisfaction comprehensively. Finally, this paper selects Beijing 673 Road as the simulation circuit, and introduces the establishment process of the simulation agent and its implementation in the simulation platform in detail. Finally, better simulation results are obtained, and the purpose of optimizing train departure plan is achieved.
【学位授予单位】：北京建筑大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U491.17;U495;P208

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