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类型 基础研究 预答辩日期 2018-03-01
开始(开题)日期 2016-03-02 论文结束日期 2017-11-21
地点 土木交通大楼 323会议室 论文选题来源 973、863项目     论文字数 8.59 (万字)
题目 城市地面公交信号优先优化方法研究
主题词 公交信号优先,冲突,优化控制,站间绿波,多智能体
摘要 在一些城市(如洛杉矶、波特兰、温哥华和苏黎世)的应用结果表明,公交信号优先可以有效地提升公交车辆的运行效能。因此,国内外许多专家学者提出大力推广使用公交信号优先。但是,随着实行信号优先的公交车辆的增多,多个公交信号优先请求产生冲突的概率也逐渐变大。而针对优先请求冲突问题,现有的公交信号优先方法暂时还不能提供一个有效的解决方案。鉴于此,本文在国家863计划项目《多模式多层次地面公交高效协同控制技术》(No. 2014AA110303)、国家自然科学基金重点项目《现代城市多模式公共交通系统基础理论与效能提升关键技术》(No. 51338003)和江苏省普通高校研究生创新计划项目《多源数据融合的多线路公交请求冲突控制方法研究》(No. KYLX15_0156)等课题的资助下,分别从信号交叉口、交通干线、交通网络三个层面对解决优先请求冲突问题、提升公交信号优先实施效果的方法进行了专门、系统、全面地研究,形成了一套完整的城市地面公交信号优先优化方法,从而为公交信号优先应用于实际提供理论、方法和技术支撑。 本文的研究重点主要体现在以下三个方面:信号交叉口地面公交信号优先优化方法、交通干线地面公交信号优先优化方法和城市交通网络地面公交信号优先优化方法。另外,需要指出的是,考虑到轻轨、地铁等城市轨道交通不受地面交通信号控制影响,本文的研究对象主要是地面公交,具体包括有轨电车、快速公交系统和普通公交。 (1)在信号交叉口处,根据公交车辆运行特性,确定优先请求产生机制,研究同一个相位内多优先请求之间的相互影响和作用,分析优先请求冲突的产生过程和机理。然后,选取公交车辆车上乘客延误和下游站点乘客等待延误两个指标来衡量公交车辆的优先请求优先级别,并建立优先级别评估模型,给予优先级别最高的公交车辆优先通行权,以有效解决多优先请求冲突问题,提升公交信号优先的实施效果,进而实现公交信号优先方法的优化。 (2)基于双层规划方法,提出交通干线公交信号优先控制优化方法。上层为绿波协调控制,鉴于整体式绿波的不足,本文考虑公交车辆运行特征,选取公交停靠站为节点将干线交叉口分为若干组,提出设置分段式站间绿波;然后,基于设置的站间绿波,对MAXBAND模型进行改进,以实现绿波带宽的优化,保障干线车辆的运行状况。下层为公交信号优先控制优化,以协调相位绿波带上下限作为约束条件,在不破坏协调相位绿波带的情况下,实施公交信号优先,同时建立优先请求优先级别评估模型,以解决优先请求冲突问题,提升交叉口处公交信号优先效果。 (3)考虑城市交通网络的复杂分布特性,基于多智能体技术和模糊控制理论,构建网络层面的公交信号优先优化方法。每个智能体管理一个信号交叉口,通过模糊推理过程实现交叉口处的公交信号优先。对于多优先请求冲突情况,本文将综合考虑公交车辆的优先级别和相应进口方向交通流紧迫度来确定优先请求优先级别。因为涉及变量较多,本文提出构建多级模糊控制器,通过多个模糊控制器的协同合作,以有效解决优先请求冲突问题。最后,通过协商模糊控制器实现干线交叉口间的协调控制,以保障干线交通的连续性。
英文题目 Optimization of transit signal priority
英文主题词 Transit signal priority (TSP), conflict, optimization control, stop-to-stop green band, multi-agent systems
英文摘要 Many worldwide implementations of transit signal priority (TSP) in cities, such as Los Angeles, Portland, Vancouver, and Zurich, have demonstrated that it can significantly improve the operation state of transit vehicles without affecting other users of traffic networks. As a result, a number of researchers and practitioners proposed to expand the implementation of TSP. However, with an increasing number of prioritized transit lines within the same network, the probability of having two or more conflicting requests simultaneously is also increasing. Existing TSP methods cannot provide a good solution for this conflicting problem. Therefore, this study is developed and it is sponsored by the National High Technology Research and Development Program 863 (No. 2014AA110303), the Key Project of National Science Foundation of China (No. 51338003), and the Postgraduate Research and Innovation Plan Project in Jiangsu Province (No. KYLX15_0156). This thesis aims at seeking the methods to resolve the conflicts among multiple TSP requests and enhance the efficiency of TSP from three perspectives (i.e., intersections, urban arterials, and traffic network). In this way, the optimization of TSP will be achieved and this will then provide theory, methods, and technical support for the application of TSP in the reality. This thesis is mainly composed of the following three aspects: the optimization of the TSP at intersections, the optimization of the TSP at urban arterials, and the optimization of the TSP at traffic network. Additionally, it is necessary to note that since urban rail transit (e.g., light rail and metro) cannot be influenced by signal control sysem this study is mainly conduced on surface bus system, including tramcar, bus rapid system, and routine bus. (1) At intersections, this study explores the interaction among multiple TSP requests within the same phase on basis of the operation characteristics of transit vehicles and the generation mechanism of TSP requests. Then the in-bus passengers’ delay and the waiting delay of bus passengers at the downstream bus stops are selected as the indices to measure the priority level of a TSP request. Following that, an evaluation model for the priority level is developed and it will grant priority to the buses with the highest priority level. In this way, the conflicts among different TSP requests will be effectively resolved and thus improves the implementation of TSP, i.e., the optimization on TSP is achieved. (2) Based on the bi-level programming method, the optimization method of the TSP at urban arterials is presented. The upper level aims at conducting the coordination control at the arterials. Firstly, since the deficiency of existing integral green wave, based on the buses’ operation characteristics this thesis chooses the bus stops as the nodes to divide the arterial intersections into different groups. A stop-to-stop green band will generate within one group. The MAXBAND model is then modified to optimize the width of the stop-to-stop band. The lower level is used to optimize TSP method. Taking the upper and lower limits on the width of stop-to-stop green band as the constraints, the TSP is executed under the premise of not disturbing the coordination at urban arterials. Meanwhile, an evaluation model for priority requests is established to solve their conflicts to enhance the efficiency of TSP. (3) Given the complicated distributed characteristic of urban traffic network, an optimization approach of the TSP in traffic network is proposed in this thesis by using the multi-agent technology (MAT) and fuzzy control theory. Here each agent controls one intersection and the TSP is realized by the fuzzy reasoning. It utilizes the multi-level fuzzy logic controller to achieve TSP. With respect to the conflicting TSP requests, this study will determine the priority level of TSP request based on the priority level of buses and traffic flow necessitious in the corresponding approaching. Since a number of variables will be involved, a multi-leve fuzzy controller developed to resolve the conflicting TSP requests by the coorperation among multiple fuzzy controllers. Finally, the consultation fuzzy logic controller is applied to obtain the coordination control among the arterial intersections to guarantee the continuity of the vehicles at arterials.
学术讨论
主办单位时间地点报告人报告主题
东南大学交通学院 2017.11.18 交通学院三楼会议室 许明涛 在澳留学科研学术方面的经验交流
东南大学交通学院 2017.9.17 交通学院二楼会议室 许明涛 城市地面公交信号优先优化方法研究
东南大学交通学院 2017.9.8 交通学院三楼会议室 冯嘉校 基于车辆运行状态的常规公交尾气排放特性研究
澳洲莫纳什大学土木系 2017.7.16 Seminar room in Buliding 60 Dr. Kun An Transit signal priority research tools
澳洲莫纳什大学土木系 2017.5.11 Seminar room in Buliding 60 Kai Huang The intermittent bus lane signals setting within an area
澳洲莫纳什大学土木系 2017.3.14 Seminar room in Buliding 60 许明涛 Optimizing multi-agent based urban traffic control system
东南大学交通学院 2016.11.19 交通学院三楼会议室 许明涛 Optimizing Conflicting Transit Signal Priority Requests: Application to An Isolated Intersection
东南大学交通学院 2016.4.27 交通学院三楼会议室 李胜利 常州市金坛区乡道公路网暨村道公路规划方案汇报
     
学术会议
会议名称时间地点本人报告本人报告题目
The 94th Annual Meeting of the Transportation Research Board 2016.1.10-2016.1.14 美国华盛顿 Walter E. Washington Convention Center Optimization model for transit signal priority under conflicting priority requests
The 15th COTA International Conference of Transportation Professionals 2015.7.24-2015.7.26 北京友谊宾馆 Optimizing Conflicting Transit Signal Priority Requests: Application to An Isolated Intersection
     
代表作
论文名称
Optimization model for transit signal priority under conflicting priority requests
Modeling, analysis, and simulation of the co-development of road networks and vehicle ownership
Optimizing conflicting transit signal priority requests application to an isolated intersection
 
答辩委员会组成信息
姓名职称导师类别工作单位是否主席备注
陆建 正高 教授 博导 东南大学交通学院
郑长江 正高 教授 博导 河海大学土木与交通学院
常玉林 正高 教授 博导 江苏大学汽车与交通工程学院
王昊 正高 教授 博导 东南大学交通学院
杨敏 正高 教授 博导 东南大学交通学院
      
答辩秘书信息
姓名职称工作单位备注
梁衡弘 其他 实验师 东南大学交通学院