【作者】 徐勇；

【导师】 田红芳；

【作者基本信息】 北方工业大学 ， 控制科学与工程， 2017， 硕士

【摘要】 随着城市规模的不断扩大,交通拥堵已经成为大城市中普遍存在的问题,并且由此带来了一系列的社会问题。为了解决日益严峻的交通拥堵问题,各国相继提出了智能交通系统的概念。车路协同技术作为智能交通系统的前沿技术,是解决城市道路拥堵的有效方法之一,得到了各国交通工作者的重点关注。车路协同系统基于无线通信和传感器检测等技术获取车辆和道路的有效信息,通过建立车车通信、车路通信,将人、车、路三者有效的联系起来,完成车辆和路旁基础设施之间的交互,充分利用基础设施和道路资源,提高道路的利用率,改善交通的安全,缓解交通拥堵现象。本文主要研究了智能交通系统中的区域交通控制,重点研究了车路协同环境下的区域交通信号控制。主要完成了以下几个方面的工作:(1)首先,总结了区域交通信号控制的发展状态,着重研究了区域子区划分的方法,提出了车路协同环境下基于状态分析的控制小区划分算法,以路网的行程时间为主要因素,结合交叉口之间的连通性,通过设定拥堵程度阈值,确定关键路口,并以此为核心进行子区划分。(2)对车路协同环境下的区域控制进行了相关研究,提出了基于K均值聚类的区域交通信号控制策略,通过车路协同环境下的检测技术获取车辆的精确信息,计算出各个车辆到达路口所需的时间,利用K均值聚类分成两大类,并以此来调整绿灯时间,同时检测等待时间最长的相位作为下一个通行相位。(3)搭建了车路协同环境下的优先信号控制平台,利用手机等移动设备作为用户端,同时利用百度地图获取车辆的位置,实时监测车辆行驶方向和速度,通过调整最近邻的交通信号,从而实现部分车辆的优先运行,并在北京市长安街进行了实际项目验证。更多还原

【Abstract】 With the continuous expansion of urban scale,traffic congestion has become a common problem in large cities,and has brought a series of social problems.In order to solve the increasingly serious problem of urban traffic congestion,the concept of intelligent transportation system is proposed.As one of the most effective methods to solve the problem of urban road congestion,cooperative vehicle infrastructure system,which has been the focus of traffic researchers in various countries.Cooperative vehicle infrastructure system based on wireless communication and sensor detection technology to obtain the effective information of vehicles and roads,establishment of integrated transport system of people,vehicles and road which is based on integrated information exchange between vehicles and vehicles,road and vehicles,complete the interaction between vehicles and roadside infrastructure,make full use of road infrastructure and resources,improve the utilization rate of roads and improve the traffic safety,alleviate traffic congestion.In this paper,the regional traffic control in intelligent transportation system is studied,and focuses on the study of regional traffic signal control in the environment of vehicle road coordination.Mainly completed the following work:(1)firstly,summarizes the development status of regional traffic signal control,focusing on the classification method of regional sub area,puts forward the control cell division algorithm based on state analysis in the environment of the cooperative vehicle infrastructure,utilize the travel time of road network as the main factors,combined with the connectivity between intersections,through setting the congestion threshold,determining the key intersection,and the subarea is divided into the core.(2)this paper studies the regional control of the vehicle road collaborative environment,and proposes the control strategy of the regional traffic signal based on K means clustering,get accurate information of the vehicle through the detection technology under the environment of the cooperative vehicle infrastructure system,and the time required for each vehicle to reach the intersection is calculated,use the K means clustering divided the time into two categories,then use the time to adjust the green time,while waiting for the longest phase detection phase as the next pass.(3)establish the priority signal control environment of the cooperative vehicle infrastructure,utilize the mobile device like the mobile phone as the users,and also use the Baidu map to obtain vehicle location,real-time monitoring of vehicle direction and speed,through the adjustment of the nearest neighbor traffic signal,so as to achieve the priority operation of some vehicles,and in Beijing,Chang’an Avenue,carried out actual project verification.更多还原