受控路网的交通流平衡条件研究

发布时间：2018-04-25 17:33

本文选题：区域控制 + 受控路网　；参考：《西南交通大学》2017年硕士论文

【摘要】：随着机动车保有量的不断增加,城市道路交通拥挤问题日趋严重,制约了出行者的正常工作与生活。近年来,智能交通体系建设与发展越来越完善,提升了及时获取道路网络中各类交通信息的可能性,为城市交通的动态监测与管理提供了良好的发展契机。在这样的背景下,基于自动控制理论的城市交通管理研究逐渐受到学界关注,相关研究成果为受控路网条件下的城市交通网络研究提供了新的研究视角与方向。传统的城市交通区域控制策略由于无法准确获知路网的全部信息,对路网交通流的平衡状态判断存在误差,因此控制效果不能让人满意;而受控路网可以准确获得网络内所有道路的交通完备信息,然后利用其宏观基本图的动态集聚性获取交通流平衡条件下的车辆运行规律,为制定有效可行的拥挤控制策略提供了依据。论文通过受控路网宏观基本图进行交通流平衡条件的研究,主要包括以下几个方面的内容:(1)从受控路网的网络状态特性和网络交通流分布特性两个方面剖析了受控路网的交通流基本特性;得到了用以描述和刻画交通流动态性的路网边界车辆流入流出率测算方程;提出受控路网交通流平衡条件的判断准则,然后对未达到平衡条件及达到平衡条件下的网络交通运行状态进行分析研究。(2)基于交通流平衡理论和宏观基本图的特性,建立了考虑网络内部累积车辆对网络整体运行状态影响的受控路网交通流平衡的双层规划模型。上层模型为路网边界车辆的流入流出率控制模型,用于描述网络边界进出车辆与网络整体交通运行状态的关系;下层模型为用户最优动态交通流分配模型,用于描述出行者在网络内部的路径选择行为。本文采用MSA算法对模型进行求解.在求解过程中将路网交通运行状态方程引入到下层模型,明确路网边界路段交通流与网络整体交通流之间的关系,进而实现对受控路网交通流平衡模型的求解,并得到具体的边界控制策略。(3)通过Sioux Falls测试路网进行算例分析,验证了基于受控路网交通流平衡条件模型获取的边界控制策略的有效性。通过对比控制策略实施前后路网内车辆平均速度、车辆平均延误及路网总延误三项指标,结果表明基于受控路网交通流平衡条件的边界控制策略能够有效改善网络内车辆的运行状态,提高网络整体通行效率,达到缓解区域交通拥堵的目的。本文通过对受控路网交通流平衡条件的研究,得到平衡条件的判定准则及平衡条件下受控路网的运行状态方程,然后通过建立双层规划模型验证受控路网平衡条件下的控制策略可以有效改善网络通行效率。今后将对平衡条件下缓解路网拥堵的具体控制策略进行进一步的研究。
[Abstract]:With the increasing number of motor vehicles, urban road traffic congestion is becoming more and more serious, which restricts the normal work and life of travelers. In recent years, the construction and development of intelligent transportation system is becoming more and more perfect, which promotes the possibility of getting all kinds of traffic information in the road network in time, and provides a good development opportunity for the dynamic monitoring and management of urban traffic. In this context, the study of urban traffic management based on automatic control theory has gradually attracted the attention of scholars. The related research results provide a new perspective and direction for the study of urban traffic network under the condition of controlled road network. Because the traditional urban traffic area control strategy can not accurately know all the information of the road network, there is an error in judging the equilibrium state of the road network traffic flow, so the control effect is not satisfactory. The controlled road network can accurately obtain the complete traffic information of all the roads in the network, and then use the dynamic concentration of its macroscopic basic map to obtain the vehicle operation law under the condition of traffic flow balance. It provides the basis for making effective and feasible congestion control strategy. In this paper, the traffic flow equilibrium condition is studied through the macroscopic basic map of controlled road network. It mainly includes the following aspects: 1) analyzing the basic characteristics of traffic flow of the controlled road network from two aspects: the network state characteristics and the network traffic flow distribution characteristics of the controlled road network; The calculation equation of vehicle inflow and outflow rate at the boundary of the road network is obtained to describe and depict the dynamic characteristics of traffic flow, and the criterion for judging the traffic flow equilibrium condition of the controlled road network is proposed. Then the network traffic running state under the condition of unbalance and equilibrium is analyzed and studied. (2) based on the theory of traffic flow equilibrium and the characteristics of macroscopic basic graph, A bilevel programming model for the traffic flow balance of a controlled road network is established, which considers the influence of accumulated vehicles in the network on the overall running state of the network. The upper layer model is the control model of the inflow and outflow rate of the vehicles in and out of the network boundary, which is used to describe the relationship between the network boundary vehicles and the whole network traffic state, and the lower layer model is the user's optimal dynamic traffic flow assignment model. Used to describe the path selection behavior of travelers within the network. In this paper, MSA algorithm is used to solve the model. In the process of solving the problem, the state equation of traffic operation of road network is introduced into the lower layer model, and the relationship between the traffic flow in the boundary section of the road network and the overall traffic flow of the network is clarified, and the solution of the traffic flow equilibrium model of the controlled road network is realized. A concrete boundary control strategy is obtained. An example is obtained by Sioux Falls test, which verifies the effectiveness of the boundary control strategy based on the traffic flow equilibrium condition model of the controlled road network. By contrasting the control strategy before and after the implementation of the road network, the average speed of vehicles, the average delay of vehicles and the total delay of road network are three indexes. The results show that the boundary control strategy based on the equilibrium condition of traffic flow in controlled road network can effectively improve the running state of vehicles in the network, improve the overall traffic efficiency of the network, and achieve the purpose of alleviating regional traffic congestion. In this paper, through the study of the traffic flow equilibrium condition of the controlled road network, the criterion of the equilibrium condition and the operation state equation of the controlled road network under the equilibrium condition are obtained. Then the two-level programming model is established to verify that the control strategy can effectively improve the network traffic efficiency under the condition of controlled road network balance. In the future, further research will be carried out on the specific control strategies to alleviate road network congestion under balanced conditions.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U491

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