基于89C51智能交通灯系统的设计与仿真

基于AT89C51单片机为核心控制器,采用ISD256O作为语音录放模块,以及MAx692“看门狗”模块提高抗干扰能力,设计十字路口的交通灯智能化控制系统。实现正常时段交通信号灯的轮换,车辆闯红灯实时监控报警、紧急通行控制、语音录放、数码管倒计时等功能。利用ProtellS和Keil软件对系统进行了仿真,结果表明对实现交通的快捷以及缓解交通压力具有较强的可靠性。     

视频监控在疏导交通方面的应用研究

在城市化的今天,教育、交通、医疗等方面的资源日益紧缺。其中交通资源使用率很大程度上受到路口交通灯时间配置的影响。交通灯最初的目的是确保行人和车辆的安全,但是作为代价车辆和行人的通行效率大打折扣。如何确定交通灯的时间,提高通行效率,使交通信号等能够智能起来,是交通部门需要重点关注的问题。     

道路交通智能控制系统的设计

文中以AT89C52为核心设计了交通智能控制系统,该系统正常工作时设置直行倒计时为45s,左拐倒计时为15s,行人通行的时候同时设置盲人提示音。该系统不仅有普通交通灯的功能,还增加了特种车辆自动通行功能,以及人性化的盲人提高音功能和紧急情况的处理功能。     

基于图像处理和PLC的交通信号灯控制系统

应用图像处理技术,研究了PLC交通信号灯控制系统,发现交通信号灯亮的时间长度可以通过检测到的车辆运行信息控制,这表明将传统的路口四相位扩展到十二相位,能够充分利用传统信号灯控制系统中的空等待时间,在不改变路况的现有条件下,有效提高路口车辆的通行效率。     

基于飞思卡尔的城市道路检修和通行车辆监测系统设计

为实现对检修中道路和通行车辆的同步管理,本文设计了城市道路检修和通行车辆监测系统.系统由供电模块、飞思卡尔处理器模块、GPRS无线通信模块、车重监测模块、扬尘监测模块和上位机管理端组成.监测点会采集维修路段的车流量、施工现场图像以及通行车辆的车速、整车重量、扬尘浓度等信息,通过GPRS无线通信模块反馈至上位机系统,以协助管理员规范车辆行驶,避免道路受损,从而延长道路使用寿命,提升交通建设水平.     

基于路口V2P的避撞算法与验证

近年来交通事故数量逐渐攀升,无信号灯路口的人车事故尤其严重。首先,基于行人、车辆在路口的穿插延误支付、碰撞风险支付,建立人车通行的博弈模型,给予双方合理的优先通行决策;进一步地,在此基础上引入驾驶员的交通奖罚支付,改进博弈模型,并通过实例进行对比分析,改进后的博弈模型增加了车辆的让行率,更有利于道路交通安全;此外,改进传统的病毒传播模型,分析交通参与者的违章心理,通过数值模拟仿真,证明了违章处罚的必要性。为今后过街行人与车辆避撞系统的开发提供了理论上的参考。     

单片机智能交通灯设计

本设计的目的在于设计出一个具有实用价值的、性价比较高的智能交通灯的控制系统。在对目前交通控制进行深入分析的基础上,采用检测传感、实时调整智能化控制的实现技术。系统包括直行、左转、右转、以及基本的交通灯的功能,能够根据十字路口双车道车流量的情况控制交通信号灯按特定的规律变化。实现自动控制和在紧急情况下能够手动切换信号灯让特殊车辆优先通行等。     

交通系统中LED光通信技术研究

针对智能交通中通过实现车辆个别指挥缓解交通拥堵目标,十字路口交通灯在信号指示同时和移动车体间采用LED光通信发布指挥命令和服务信息提高路网通行效率。该通信系统发射端采用2FSK高速调制光载波传输信息实现恒定光功率输出避免通信时交通灯亮度不均。接收端通过锁相环解调还原信息。     

基于嵌入式系统的违章车辆视频检测系统

随着社会经济的快速发展，人们生活水平不断提高，各种汽车的数量大幅度增加，提高交通效率就显得越来越重要。目前世界各国都投入了大量的人力和物力对智能交通系统（ITS）进行研究。作为ITS的重要组成部分，电子警察系统在规范驾驶人员行为、杜绝交通事故、提高交通执法水平及道路通行能力等方面起到了重要作用。从现有电子警察系统实际存在的问题出发，在系统控制、车辆检测及系统方面提出了自己的解决方案。概要介绍了基于嵌入式系统的视频检测系统及控制系统的组成架构。     

模糊控制优化三岔路口交通

传统交通控制系统采取的是定时控制方案,此种控制方法经常出现单方向交通堵塞严重的问题,致使某一方向交通延误过大。而采用先进的车流量检测技术、先进的控制策略等高新技术开发的智能交通系统就可以大幅度提高交通道路的运行效率,成为解决交通拥挤问题最为有效、最为经济的办法之一。本文将视频车辆检测方法和传统的环形线圈方法结合起来检测车流量,从模糊控制的角度,实时调整三岔路口信号灯周期,达到减少车辆延误时间,提高交叉口整体通行效率,来实现对三岔路口交通状况的调节。     

Study on Road Network Traffic Coordination Control Technique With Bus Priority

On the basis of distributed traffic control framework, fuzzy theory, and artificial neural networks technique, the road network traffic intelligent coordination control technique with bus priority was proposed. The whole road network was regarded as a large-scale system, and the subsystems were the intersections. Multiphase intelligent signal controller that controlled its own traffic and cooperated with its neighbors was installed at each intersection. By exchanging information collected from its social vehicle detectors and the bus detection and location devices, and cooperating with adjacent signal controllers, social vehicle coordination and bus priority in the whole road network were realized. Bus priority module, green observation module, and phase switch module comprised the hard core of the controller. In each module, the fuzzy rule base system was designed in detail. To improve the control system's robusticity, the fuzzy relations of the three modules were implemented by one neural network. The target of this proposed method was to maximize the possibility for vehicles to depart from the upstream intersection, and the traveling bus nearby the local intersection to pass the local intersection without stoppage while the utility efficiency of the green signal time was at a relatively high level. The actual application shows that the proposed method can decrease the average vehicle delay and average travel time effectively.     

基于ARM的六相位交通信号机设计

针对传统信号机相位少,运算性能低的缺陷,设计了以LM3S8962为控制核心的六相位交通信号机。在设计平面交叉口六相位模型的基础上,给出信号机控制模式、信号配时参数。根据信号机功能要求及LM3S8962的资源特性,给出信号机的硬件设计方案。利用模块化设计方法,完成各功能模块软件设计,并进行了系统整体测试。测试结果表明,设计的基于LM3S8962的六相位交通信号机功能完善、运行稳定,对于城市复杂平面交叉口,其控制效果优于传统信号机。     

An efficient dynamic traffic light scheduling algorithm considering emergency vehicles for intelligent transportation systems

Traffic lights have been installed throughout road networks to control competing traffic flows at road intersections. These traffic lights are primarily intended to enhance vehicle safety while crossing road intersections, by scheduling conflicting traffic flows. However, traffic lights decrease vehicles’ efficiency over road networks. This reduction occurs because vehicles must wait for the green phase of the traffic light to pass through the intersection. The reduction in traffic efficiency becomes more severe in the presence of emergency vehicles. Emergency vehicles always take priority over all other vehicles when proceeding through any signalized road intersection, even during the red phase of the traffic light. Inexperienced or careless drivers may cause an accident if they take inappropriate action during these scenarios. In this paper, we aim to design a dynamic and efficient traffic light scheduling algorithm that adjusts the best green phase time of each traffic flow, based on the real-time traffic distribution around the signalized road intersection. This proposed algorithm has also considered the presence of emergency vehicles, allowing them to pass through the signalized intersection as soon as possible. The phases of each traffic light are set to allow any emergency vehicle approaching the signalized intersection to pass smoothly. Furthermore, scenarios in which multiple emergency vehicles approach the signalized intersection have been investigated to select the most efficient and suitable schedule. Finally, an extensive set of experiments have been utilized to evaluate the performance of the proposed algorithm.     

基于多智能体技术的城市智能交通控制系统

本文中提出一种城市交通智能控制系统,针对城市交通网络中相邻交叉口的交通流可能相互冲突,即局部交通流的优化可能引起其他区域交通状况的恶化的问题,采用多智能体协调控制方法来协调相邻交叉口处的控制信号消除网络中的交通拥塞.提出以一个智能体的方式实现一个信号灯交叉口控制,对多个信号灯交叉口形成的交通网络采用多智能体协调控制的方式实现网络流量优化来消除拥塞.文中提出由递归建模和改进的贝叶斯学习相结合的多智能体系统来使智能体可以确定其他智能体的准确模型并实时更新信息,并基于上述方法在简单的交通网络模型上建立了多智能体交通控制系统,仿真结果表明了方法的有效性,对实现智能交通系统有重要意义.     

A study on traffic signal control at signalized intersections in vehicular ad hoc networks

The Seoul metropolitan government has been operating a traffic signal control system with the name of COSMOS (Cycle, Offset, Split MOdel for Seoul) since 2001. COSMOS analyzes the degrees of saturation and congestion which are calculated by installing loop detectors. At present, subterranean inductive loop detectors are generally used for detecting vehicles but their maintenance is inconvenient and costly. In addition, the estimated queue length might be influenced by errors in measuring speed, because the detectors only consider the speed of passing vehicles. Instead, we proposed a traffic signal control algorithm which enables smooth traffic flow at intersections. The proposed algorithm assigns vehicles to the group of each lane and calculates traffic volume and congestion degree using the traffic information of each group through inter-vehicle communication in Vehicular Ad-hoc Networks (VANETs). This does not require the installation of additional devices such as cameras, sensors or image processing units. In this paper, the algorithm we suggest is verified for AJWT (Average Junction Waiting Time) and TQL (Total Queue Length) under a single intersection model based on the GLD (Green Light District) simulator. The results are better than random control method and best-first control method. For a generalization of the real-time control method with VANETs, this research suggests that the technology of traffic control in signalized intersections using wireless communication will be highly useful.     

New vehicle sequencing algorithms with vehicular infrastructure integration for an isolated intersection

Traffic congestion at intersections is one of the main issues to be addressed by today??s traffic management schemes. Countless efforts have been made directed toward efficiently improving the traffic situation at intersections. In this paper, we present a new traffic control strategy for an isolated intersection, in which there are no more traffic lights. Instead, vehicles embedded with In-Vehicle Information Systems communicate with the center Infrastructure to obtain their access time to the intersection. We mainly focus on the vehicle sequencing algorithms with the analysis of received information. A Branch and Bound algorithm and a heuristic are proposed to evacuate the approaching vehicles as soon as possible. Structural properties of the problem are carefully investigated to simplify the search procedure of an optimal passing sequence. Computational experiments and simulations in evacuation time, average waiting time and average queue size demonstrate the performance gain obtained when using the proposed schemes.     

基于VisVAP的过饱和交叉口群自适应控制评价

为了提高交叉口群的运行效率,以改进的TACOS模型为基础,提出了适应过饱和状态下交通流动态变化的自适应控制策略。该方法以交叉口的关键路径通过最大车辆和平均排队长度最小为目标,实时优化相位放行方案,并根据最大排队长度的车流方向放行绿灯进行实时控制。利用Vissim中VisVAP模块对过饱和交叉口群自适应控制策略进行多项指标评价分析,并与定时控制相比较。结果表明,该控制方法可有效降低车辆平均等待时间和车均延误,提高通行能力。     

基于二元饱和度的信号交叉口延误分析

为提高信号交叉口通行能力,利用二元饱和度方法,对交叉口单相位的车辆做延误分析,推导了适用于任意交通情况的路口延误模型,并对该模型进行算例分析。通过基于传统饱和度与二元饱和度控制约束条件下仿真对比验证,本延误模型计算简单易实现、在较高饱和度下路口车辆排队长度比传统饱和度控制方式短,另外时延也得到一定改善。     

基于单片机的智能交通灯控制系统的研究与设计

针对道路交通拥挤、交叉路口经常出现拥堵的情况,本系统采用单片机作为核心控制器,组成一个集车流量采集、处理、自动控制为一身的闭环控制系统。通过仿真本设计能模拟基本的交通控制系统还能进行倒计时显示,车流量检测及调整,交通违规处理和紧急处理等功能。     

基于模糊控制理论的交通信号控制算法研究

造成交通拥挤往往突出表现在道路的交叉口处,在综合了模糊控制技术和城市信号交叉口交通信号控制技术基础上,针对多路口交通控制的特征及实际交通状况,对已有模糊控制算法进行了改进,在单路口模糊控制研究的基础上,研究了基于相序优化模糊控制的城市区域交通信号控制系统。此方法不需要建立复杂的交通流模型,对城市交通控制系统实施模糊控制,可以有效地解决交通信号控制过程中复杂性和随机性难题,从而对绿灯信号的调整做出更合理的匹配,提高交叉路口的通行率近20%。