多通道感应信号控制优化模型研究

发布时间：2018-03-09 01:28

本文选题：感应信号控制　切入点：配时参数　出处：《兰州交通大学》2015年硕士论文　论文类型：学位论文

【摘要】：交叉口是城市道路交通的重要组成部分,交叉口信号控制方式很大程度上影响城市道路的通畅程度。交叉口信号控制方式主要分为定时控制和感应控制两类,其中感应控制依据实时检测交通流信息动态显示信号控制方案,有效克服了定时控制的不足,感应信号控制应是今后城市交叉口信号控制的趋势。对于感应信号控制的研究不仅可以缓解城市交通拥堵,提高城市道路的通行能力,还可以减少交通事故的发生,在一定程度上减少环境污染。感应信号控制参数和逻辑对于感应控制的整体控制效率有很大的影响,论文选择从感应控制参数和控制逻辑两个方面进行研究,建立了最短绿灯时间优化模型、最大绿灯时间计算模型、给出了绿灯延长时间终止条件的优化方案。论文首先查阅了感应信号控制现有的研究成果,包括感应控制参数的确定方法,感应控制逻辑优化方法,感应控制检测器的布设方法及优化布设方法等,并分析了现有感应控制研究成果的不足及存在的问题。目前感应信号控制对于参数的优化大多基于单通道模型,在多车道情况下这种单通道检测方式优化效果有限,没有考虑多车道对于感应控制参数的影响。现有的文献对于感应控制逻辑优化也存在问题,绿灯延长时间的终止条件只是单纯的以单位绿灯时间与车头时距大小的关系作为依据,没有考虑多车道时信号机接收到的车头时距小于实际车头时距的情况,还未考虑两个相反进口道车头时距对于绿灯延长时间的影响。针对已有研究成果存在的问题,论文首先,分析了最短绿灯时间与车辆延误以及行车安全关系的基础上,建立了一种基于风险决策的单通最短绿灯时间优化模型,并设计相应的求解算法,在多车道的情况下,又建立了多通道最短绿灯时间优化模型;其次,分析了多通道时绿灯延长时间与多个车道车头时距的关系,建立了多种车头时距分布的多通道绿灯延长时间计算模型,并在此基础上建立了最大绿灯时间的优化模型;然后,在分析绿灯延长时间终止条件与多车道多通道检测方法及两个相反进口道关系的基础上,给出了绿灯延长时间终止条件的优化方案,并与传统方案进行对比;最后,利用VISSIM仿真平台对于文中的优化模型和优化方案进行仿真实验验证。仿真结果表明文中模型与传统感应控制相比,在不同饱和度情况下都有良好控制效果。
[Abstract]:Intersection is an important part of urban road traffic. The signal control mode of intersection largely affects the smooth degree of urban road. The signal control mode of intersection is divided into two types: timing control and induction control. Among them, induction control is based on real-time detection of traffic flow information dynamic display signal control scheme, which effectively overcomes the deficiency of timing control. Induction signal control should be the trend of signal control in urban intersections in the future. The study of induction signal control can not only alleviate urban traffic congestion, improve the traffic capacity of urban roads, but also reduce the occurrence of traffic accidents. To a certain extent, the control parameters and logic of inductive signal have great influence on the overall control efficiency of induction control, so this paper chooses to study from two aspects: inductive control parameters and control logic. The optimization model of the shortest green time and the calculation model of the maximum green time are established, and the optimization scheme of the condition of prolonging the green time is given. Firstly, the paper reviews the existing research results of the induction signal control. It includes the determination method of induction control parameters, the optimization method of induction control logic, the layout method of induction control detector and the method of optimizing layout, etc. At present, the optimization of the parameters of induction signal control is mostly based on the single channel model, and the optimization effect of this single channel detection method is limited in the multi-lane case. The influence of multi-lane on induction control parameters is not considered. The termination condition of extended green time is only based on the relationship between the unit green time and the length of the head-length of the vehicle, and does not take into account the fact that the head-time distance received by the multi-lane signal machine is less than the actual head-time distance. The influence of headway time on green time extension has not been considered. In view of the existing problems, the relationship between the shortest green time and vehicle delay, as well as the traffic safety, is analyzed in this paper. In this paper, a risk decision based optimization model of the shortest green light time is established, and the corresponding algorithm is designed. In the case of multi-lane, the multi-channel shortest green time optimization model is also established. Secondly, Based on the analysis of the relationship between the extended time of green light and the time distance of multiple lanes, the calculation model of green time extension time of multi-channel is established, and the optimization model of maximum green time is established on the basis of this model. On the basis of analyzing the relationship between green time extension termination condition and multi-lane and multi-channel detection method and two opposite entry channels, the optimized scheme of green light extension time termination condition is given, and compared with the traditional scheme. The VISSIM simulation platform is used to verify the optimization model and optimization scheme in this paper. The simulation results show that the model has good control effect under different saturation conditions compared with traditional induction control.
【学位授予单位】：兰州交通大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491.54

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