基于道路交通状态判别的干线动态协调控制优化方法研究
发布时间：2018-12-08 12:07
【摘要】：近年来,随着我国城市发展规模的不断扩大和空间结构的不断调整,出行距离逐渐增长,交通需求总量持续增加,日益显现出交通时空资源供给与需求的不均衡性。城市交通拥堵呈现出拥堵时间从高峰时段向平峰时段延伸、拥堵范围从局部向区域扩展、拥堵状态从偶发性向常态化转变的态势,城市交通系统运行面临严峻挑战,提高路网的服务水平与通行能力成为缓解城市交通拥堵的重要举措。研究表明,仅仅通过加快城市道路的建设速度来治理城市交通拥堵问题是远远不够的,需要依靠先进的道路交通管理与控制措施来缓解城市交通拥堵问题。本文以城市道路为研究对象,针对其交通场景和路网形态,分析城市道路各交叉口及路段的交通网络要素及相互作用机理,判别道路交通状态,研究缓解道路交通拥堵策略,提出有效的干线动态协调控制优化方法,研究成果为我国城市道路系统交通管理与控制提供技术支撑和理论依据。研究内容简要如下:第一部分,道路交通信息采集及特性参数分析。通过分析车辆检测器的工作原理,对环形线圈检测器提出布局优化,基于交通信息的采集,研究道路交通参数并对其时间维度和空间维度的相似性进行分析,为道路交通状态判别提供基础依据。第二部分,道路交通状态判别。运用模糊综合层次分析法解析各评判指标与各交通状态之间的相互作用机理,包括因素集和判断集的确定、各评判指标隶属函数的建立及其权重的计算,分别对各评判指标和道路交通状态进行单因素判断和模糊综合评判,确定道路交通状态综合指数。第三部分,道路交通信号控制策略。基于道路交通状态判别,对道路交通信号控制策略进行深入研究。通过研究点、线、面控制的工作机理,分析各交叉口的关联特性并进行控制子区划分,依据交通流的运行状态对控制方式进行选取并采用相应评价指标对控制策略进行效果评价,揭示控制策略的协同作用。第四部分,干线动态协调控制优化。基于道路交通状态判别及道路交通信号控制策略的分析,以动态协调控制为理念,以交通波理论为基础,对周期、相位相序、绿信比和相位差等控制参数进行综合优化,提出以提高道路服务水平为主线的干线动态协调控制优化方法,并建立定量化模型。第五部分,案例分析。利用TDP绿波工具软件对黄岛开发区滨海大道进行双向绿波动态协调控制优化,对所得数据进行数理统计分析,通过对比动态协调控制优化前后的指标值,验证动态协调控制优化方法的准确性与实用性,研究适合我国城市道路的干线动态协调控制优化方法。
[Abstract]:In recent years, with the continuous expansion of the scale of urban development and the adjustment of spatial structure, the travel distance is gradually increasing, and the total traffic demand continues to increase, which increasingly shows the imbalance between the supply and demand of transportation space-time resources. Urban traffic congestion presents a situation that congestion time extends from peak time to flat peak time, congestion range expands from local to regional, congestion state changes from contingency to normality, and the operation of urban traffic system is faced with severe challenges. Improving the service level and capacity of the road network becomes an important measure to alleviate urban traffic congestion. The research shows that it is not enough to solve the problem of urban traffic congestion only by speeding up the speed of urban road construction. We need to rely on advanced road traffic management and control measures to alleviate the problem of urban traffic congestion. In this paper, taking urban road as the research object, according to the traffic scene and road network form, the traffic network elements and interaction mechanism of each intersection and section of urban road are analyzed, the road traffic state is distinguished, and the strategy of alleviating traffic congestion is studied. An effective optimization method for dynamic coordinated control of trunk lines is proposed. The research results provide technical support and theoretical basis for traffic management and control of urban road systems in China. The research contents are summarized as follows: the first part, road traffic information collection and characteristic parameter analysis. By analyzing the working principle of the vehicle detector, the layout optimization of the ring coil detector is put forward. Based on the traffic information collection, the road traffic parameters are studied and the similarity between the time dimension and the space dimension is analyzed. To provide the basic basis for road traffic state discrimination. The second part, road traffic condition discrimination. The interaction mechanism between each evaluation index and traffic state is analyzed by using fuzzy comprehensive analytic hierarchy process, including the determination of factor set and judgement set, the establishment of membership function of each evaluation index and the calculation of its weight. The single factor judgment and fuzzy comprehensive evaluation of each evaluation index and road traffic state are carried out, and the comprehensive index of road traffic state is determined. The third part, road traffic signal control strategy. Based on the discrimination of road traffic state, the control strategy of road traffic signal is studied in depth. By studying the working mechanism of point, line and surface control, the correlation characteristic of each intersection is analyzed and the control sub-area is divided. According to the running state of traffic flow, the control mode is selected and the corresponding evaluation index is used to evaluate the effect of the control strategy, and the synergistic effect of the control strategy is revealed. The fourth part, the main line dynamic coordination control optimization. Based on the analysis of road traffic condition discrimination and traffic signal control strategy, the control parameters such as period, phase sequence, green signal ratio and phase difference are comprehensively optimized based on dynamic coordinated control and traffic wave theory. An optimization method for dynamic coordinated control of trunk lines with the main line of improving road service level is proposed, and a quantitative model is established. The fifth part, case analysis. Using TDP green wave tool software to optimize the dynamic coordination control of Binhai Avenue in Huangdao Development Zone, the obtained data are analyzed by mathematical statistics, and the index values before and after the optimization are compared. To verify the accuracy and practicability of the dynamic coordinated control optimization method, the main line dynamic coordinated control optimization method suitable for urban roads in China is studied.
【学位授予单位】：青岛理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491
本文编号：2368319
[Abstract]:In recent years, with the continuous expansion of the scale of urban development and the adjustment of spatial structure, the travel distance is gradually increasing, and the total traffic demand continues to increase, which increasingly shows the imbalance between the supply and demand of transportation space-time resources. Urban traffic congestion presents a situation that congestion time extends from peak time to flat peak time, congestion range expands from local to regional, congestion state changes from contingency to normality, and the operation of urban traffic system is faced with severe challenges. Improving the service level and capacity of the road network becomes an important measure to alleviate urban traffic congestion. The research shows that it is not enough to solve the problem of urban traffic congestion only by speeding up the speed of urban road construction. We need to rely on advanced road traffic management and control measures to alleviate the problem of urban traffic congestion. In this paper, taking urban road as the research object, according to the traffic scene and road network form, the traffic network elements and interaction mechanism of each intersection and section of urban road are analyzed, the road traffic state is distinguished, and the strategy of alleviating traffic congestion is studied. An effective optimization method for dynamic coordinated control of trunk lines is proposed. The research results provide technical support and theoretical basis for traffic management and control of urban road systems in China. The research contents are summarized as follows: the first part, road traffic information collection and characteristic parameter analysis. By analyzing the working principle of the vehicle detector, the layout optimization of the ring coil detector is put forward. Based on the traffic information collection, the road traffic parameters are studied and the similarity between the time dimension and the space dimension is analyzed. To provide the basic basis for road traffic state discrimination. The second part, road traffic condition discrimination. The interaction mechanism between each evaluation index and traffic state is analyzed by using fuzzy comprehensive analytic hierarchy process, including the determination of factor set and judgement set, the establishment of membership function of each evaluation index and the calculation of its weight. The single factor judgment and fuzzy comprehensive evaluation of each evaluation index and road traffic state are carried out, and the comprehensive index of road traffic state is determined. The third part, road traffic signal control strategy. Based on the discrimination of road traffic state, the control strategy of road traffic signal is studied in depth. By studying the working mechanism of point, line and surface control, the correlation characteristic of each intersection is analyzed and the control sub-area is divided. According to the running state of traffic flow, the control mode is selected and the corresponding evaluation index is used to evaluate the effect of the control strategy, and the synergistic effect of the control strategy is revealed. The fourth part, the main line dynamic coordination control optimization. Based on the analysis of road traffic condition discrimination and traffic signal control strategy, the control parameters such as period, phase sequence, green signal ratio and phase difference are comprehensively optimized based on dynamic coordinated control and traffic wave theory. An optimization method for dynamic coordinated control of trunk lines with the main line of improving road service level is proposed, and a quantitative model is established. The fifth part, case analysis. Using TDP green wave tool software to optimize the dynamic coordination control of Binhai Avenue in Huangdao Development Zone, the obtained data are analyzed by mathematical statistics, and the index values before and after the optimization are compared. To verify the accuracy and practicability of the dynamic coordinated control optimization method, the main line dynamic coordinated control optimization method suitable for urban roads in China is studied.
【学位授予单位】：青岛理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491
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本文编号：2368319
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