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城域交通冲突点控制策略研究

Research on Control Strategy of Urban Traffic Conflict Points

【作者】 贺明

【导师】 王慧;

【作者基本信息】 浙江大学 , 系统工程, 2008, 硕士

【摘要】 随着城市化进程的加快,城市交通量急速增加,交通问题日趋严重,所以需要对交通进行合理的规划、控制和管理。交通冲突是产生交通延误与交通事故的根源之一,而交叉口由于存在大量的交通冲突点,使其成为交通通行能力和交通安全的瓶颈,因此,对于交叉口控制的研究具有重要的理论意义与实际应用价值。本文通过对国内外交叉口控制策略相关理论的研究,提出了基于自适应协同进化的混合交通条件下单点交叉口相位优化及信号配时方案,并在单点交叉口研究基础上,对定时式干线协调控制方案设计中所涉及的各种影响因素进行分析。控制的基础是实时的检测数据,而交通视频检测技术已成为交通信息采集与处理的发展方向,因此本文对Autoscope Solo Pro视频检测系统进行搭建与研究。全文的主要研究成果总结如下:(1)研究城域混合交通条件下单点交叉口的相位优化及信号配时。针对两种典型的单点信号控制交叉口——十字交叉口和T型交叉口,分别建立信号相位优化模型,以车辆平均延误时间最小为目标,以交叉口几何形状、渠化及禁止的交通流冲突为约束,提出自适应协同进化算法以搜索最优的信号相位序列并获取相应的信号配时方案。(2)利用Delphi分别开发了十字交叉口信号配时软件与T型交叉口信号配时软件。该软件一方面实现了混合交通信号相位优化算法,通过软件输出数据分析,验证了本文提出的自适应协同进化算法在以上两种类型交叉口相位优化及信号配时问题上的可行性及优越性;另一方面可作为通用的交叉口信号配时优化设计软件。(3)研究定时式干线协调控制的影响因素。针对定时式干线协调控制的特点,总结控制方案设计过程中的影响因素。一方面对某些因素进行理论分析,另一方面构造Matlab仿真平台,对流量,间距与带速等主要的影响因素进行仿真分析,为设计定时式干线协调控制方案提供设计与分析的依据。(4)研究Autoscope Solo Pro视频检测监控系统。掌握Autoscope Solo Pro视频检测系统功能与系统结构,实现现场硬件设备与上位机的连接并调试使用,为采集现场数据打下了基础。

【Abstract】 With the accelerated urbanization, rapidly increased urban traffic, the traffic problems have become more serious, so reasonable traffic organization and management are needed. Traffic conflict is one of the roots that causes of traffic delay and traffic accidents, and because there are lots of traffic conflict points, the intersections have become the bottleneck of traffic safety and traffic capacity. Therefore, the intersections control has important application background as well as research meanings.After referring to the major researches on the intersections control in home and overseas, the dissertation proposes an effective way for mixed-traffic phase optimization and signal timing at the single-point intersection based on adaptive co-evolutionary algorithm, analyses the various factors that affect the design of the timing arterial coordinated control system based on the single-point intersection control, and further, constructs and researches the Autoscope Solo Pro video detection system in view of the video detection technology has become the development direction of traffic information collection and processing.The major work and corresponding results achieved in this dissertation can be summarized as follows:(a) Study the phase optimization and signal timing of the urban single-point intersection. In order to solve the phase optimization and signal timing of the urban single-point cross intersection and T intersection under the mixed-traffic, the shortest average delay are taken as objective, and the intersection geometry shape, channelization status and prohibition of traffic flow conflicts are taken as restrictions. A new global search algorithm combining adaptive genetic algorithm with co-evolutionary algorithm is put forward to solve the optimization problem.(b) Develop the signal timing optimization software of single-point cross intersection and T intersection, design software interface and achieve optimization algorithm program, and further, analyze and indicate that the adaptive co-evolutionary algorithm is feasible and effective for mixed-traffic phase optimization and signal timing at cross intersection and T intersection by output data of the software.(c) Study the various factors that affect the design of the timing arterial coordinated control system. First, summarize the influencing factors. Then, on the one hand, theoretically analyze some factors, on the other hand, construct the simulation platform by Matlab, and analyze the main influencing factors, such as vehicle traffic, intersection space and band velocity.(d) Study the Autoscope Solo Pro video detection system, master the system function and system configuration, connect field hardware and PC, and debug successfully.

  • 【网络出版投稿人】 浙江大学
  • 【网络出版年期】2008年 08期
  • 【分类号】U491.23
  • 【被引频次】1
  • 【下载频次】305
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