干线协调控制配时参数优化模型研究
发布时间：2019-02-12 13:10
【摘要】：交通拥堵问题已成为现今的热点话题,交通控制在城市交通运行效率中起到关键作用。随着交通控制系统理论和技术的日益成熟,在一定条件下,将城市道路网中的信号交叉口由单点信号控制升级到干线协调控制,能够促进城市交通效率的大幅度提高,有效改善交通现状,解决各种交通问题。干线协调控制的基本参数包括公共周期时长、绿信比和相位差。摒弃以往单独优化一个参数或者利用智能算法进行全局优化的方法,构建公共周期时长与绿信比联合优化模型,再结合合适的相位差优化方法,形成最佳干线协调控制方案。为系统阐述论文研究内容,将全文划分为四个部分。第一部分首先阐述了研究背景及意义,对国内外研究现状及存在问题进行了总结,随后介绍了研究目标、研究内容、研究方法及技术路线。第二部分详细分析了交通流运行的性能指标,重点研究了车均延误模型的适用性。第三部分根据前面的分析,选择合适的通行能力公式和车均延误模型构建公共周期时长与绿信比联合优化模型。该模型以通行能力最大、延误最小为双目标函数,以有效绿灯时间为决策变量,利用MATLAB软件编程求解。最后,结合相位差优化方法,构建干线协调控制优化方案。第四部分为案例分析。选取合适的案例,按照所提出的优化模型设计配时方案,分析优化方案相对于现状方案的优化效果。进一步分析不同目标函数与优化算法对交通运行效果的影响,设计多种优化方案,利用VISSIM仿真模型进行方案比选,得到最佳优化方案,验证所提出的干线协调控制配时参数优化模型的有效性。研究成果表明,HCM2000车均延误模型的使用性和适用性最佳。与现状信号配时方案相比,最小化交叉口车辆总延误与总通行能力之比,结合相位差优化方法的干线协调控制配时参数优化模型能够在增加干线交叉口通行能力的同时降低车辆延误。因此,优化模型能够合理设置干线协调控制配时参数,为缓解城市交通拥堵提供依据与参考。
[Abstract]:Traffic congestion has become a hot topic. Traffic control plays a key role in urban traffic efficiency. With the development of traffic control system theory and technology, under certain conditions, the signal intersection in urban road network can be upgraded from single signal control to trunk line coordination control, which can greatly improve the urban traffic efficiency. Effectively improve the traffic situation, solve all kinds of traffic problems. The basic parameters of trunk line coordination control include common cycle time, green signal ratio and phase difference. This paper discards the previous methods of single parameter optimization or global optimization using intelligent algorithm, constructs the joint optimization model of common cycle time and green signal ratio, and combines the appropriate phase difference optimization method to form the optimal trunk line coordinated control scheme. This paper is divided into four parts. The first part describes the background and significance of the research, summarizes the current research situation and existing problems at home and abroad, and then introduces the research objectives, research contents, research methods and technical routes. In the second part, the performance index of traffic flow is analyzed in detail, and the applicability of average delay model is studied. In the third part, according to the previous analysis, we select the appropriate capacity formula and vehicle average delay model to construct the joint optimization model of public cycle time and green letter ratio. In this model, the maximum capacity and the minimum delay are two objective functions, and the effective green time is taken as the decision variable. The model is solved by MATLAB software. Finally, combining the phase difference optimization method, the coordinated control optimization scheme of trunk line is constructed. The fourth part is case analysis. According to the proposed optimization model, the time matching scheme is designed and the optimization effect of the optimization scheme relative to the current scheme is analyzed. Further analyzing the influence of different objective functions and optimization algorithms on the traffic operation effect, designing a variety of optimization schemes, using the VISSIM simulation model to compare and select the scheme, get the best optimization scheme. Verify the effectiveness of the proposed coordinated control timing parameter optimization model. The research results show that the HCM2000 vehicle average delay model has the best performance and applicability. Compared with the current signal timing scheme, the ratio of total vehicle delay to total capacity at intersection is minimized. Combined with phase difference optimization method, the optimization model of coordinated control timing parameters of trunk line can increase the traffic capacity of the main road intersection and reduce the vehicle delay at the same time. Therefore, the optimized model can reasonably set the parameters of coordinated control of the trunk line and provide the basis and reference for alleviating urban traffic congestion.
【学位授予单位】：大连理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491.54
本文编号：2420466
[Abstract]:Traffic congestion has become a hot topic. Traffic control plays a key role in urban traffic efficiency. With the development of traffic control system theory and technology, under certain conditions, the signal intersection in urban road network can be upgraded from single signal control to trunk line coordination control, which can greatly improve the urban traffic efficiency. Effectively improve the traffic situation, solve all kinds of traffic problems. The basic parameters of trunk line coordination control include common cycle time, green signal ratio and phase difference. This paper discards the previous methods of single parameter optimization or global optimization using intelligent algorithm, constructs the joint optimization model of common cycle time and green signal ratio, and combines the appropriate phase difference optimization method to form the optimal trunk line coordinated control scheme. This paper is divided into four parts. The first part describes the background and significance of the research, summarizes the current research situation and existing problems at home and abroad, and then introduces the research objectives, research contents, research methods and technical routes. In the second part, the performance index of traffic flow is analyzed in detail, and the applicability of average delay model is studied. In the third part, according to the previous analysis, we select the appropriate capacity formula and vehicle average delay model to construct the joint optimization model of public cycle time and green letter ratio. In this model, the maximum capacity and the minimum delay are two objective functions, and the effective green time is taken as the decision variable. The model is solved by MATLAB software. Finally, combining the phase difference optimization method, the coordinated control optimization scheme of trunk line is constructed. The fourth part is case analysis. According to the proposed optimization model, the time matching scheme is designed and the optimization effect of the optimization scheme relative to the current scheme is analyzed. Further analyzing the influence of different objective functions and optimization algorithms on the traffic operation effect, designing a variety of optimization schemes, using the VISSIM simulation model to compare and select the scheme, get the best optimization scheme. Verify the effectiveness of the proposed coordinated control timing parameter optimization model. The research results show that the HCM2000 vehicle average delay model has the best performance and applicability. Compared with the current signal timing scheme, the ratio of total vehicle delay to total capacity at intersection is minimized. Combined with phase difference optimization method, the optimization model of coordinated control timing parameters of trunk line can increase the traffic capacity of the main road intersection and reduce the vehicle delay at the same time. Therefore, the optimized model can reasonably set the parameters of coordinated control of the trunk line and provide the basis and reference for alleviating urban traffic congestion.
【学位授予单位】：大连理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491.54
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