基于路网关联度分析的城市路网划分方法研究
本文选题:路网划分 + 关联度分析 ; 参考:《吉林大学》2017年硕士论文
【摘要】:当城市交通拥堵已经不能单独由交通信号协调控制策略解决时,需要将交通控制和交通诱导结合起来,从时间和空间两个角度来改善交通状况。在进行交通控制与诱导协同时,参数与模型变得更加复杂起来;如果协同的路网规模较大,不同区域也只需采用适应本区域交通特征的管理策略,因此,从这些意义上讲,同样需要对城市道路网络进行协同交通小区的划分。目前的交通控制子区划分研究打破了传统规划中基于道路物理结构划分交通小区的研究思路,考虑到交通区域控制的需求,通过研究交叉口交通参数的关联特性,实现了控制子区的划分。本文提出一种同时考虑交叉口关联度与路段关联度的基于路网关联度的路网划分方法,实现协同交通小区的划分。在城市路网交通流运行特性分析方面,本文基于厦门市交叉口和路段的实测交通数据,通过对交叉口和路段交通流进行时间和空间两方面进行特性分析,得出城市路网交叉口和路段相互间具有关联性的结论,为下文路网子区的划分提供了理论支撑。在路网关联度模型和子区划分方法方面,本文在对现有交叉口关联度模型及路段关联度模型进行分析的基础上,通过对交通控制的路网区域划分和交通诱导的路网区域划分的影响因素的分析,在考虑交通流相关性的同时引入交通状态判别指标,实现面向诱导与控制协同的路网关联度建模;并具体阐述基于路网关联度的区域划分算法实现步骤。本文采用虚拟区域路网仿真的方式对本章提出的模型方法进行验证分析,得到基于路网关联度分析的路网划分方案,在分区方案的基础上,采用相位差优化的方式对区域路网进行协调控制,获得优化前后路网性能及交叉口性能主要参数。同时,作为分区方案的对照,采用Synchro对相同参数的路网进行子区划分,评估结果显示,从路网整体效益和交叉口效益两方面来考量,Synchro给出的划分方案较本文方法皆有一定程度的下降,本文所提出的路网子区划分方法能够取得良好的交通效益。
[Abstract]:When urban traffic congestion can no longer be solved by traffic signal coordination control strategy alone, traffic control and traffic guidance should be combined to improve traffic situation from the angle of time and space. In the process of traffic control and guidance coordination, the parameters and models become more complex. If the network scale of coordination is large, different regions only need to adopt management strategies adapted to the traffic characteristics of their respective regions, so in these sense, It is also necessary to divide the urban road network into cooperative traffic districts. The current research of traffic control subarea division breaks the traditional road physical structure in the study of the division of traffic areas, considering the needs of traffic area control, through the study of intersection traffic parameters correlation characteristics. The partition of the control sub-region is realized. In this paper, a road network division method based on road network correlation degree is proposed, which considers the correlation degree of intersection and section simultaneously, and realizes the division of cooperative traffic district. In the analysis of traffic flow characteristics of urban road network, based on the measured traffic data of intersection and section of Xiamen, this paper analyzes the characteristics of traffic flow at intersection and section of road in terms of time and space. The conclusion that intersections and sections of urban road network are related to each other provides theoretical support for the division of road network sub-areas below. In terms of road network correlation degree model and sub-area division method, this paper analyzes the existing intersection correlation degree model and road link correlation degree model. Based on the analysis of the influence factors of the road network area division of traffic control and traffic guidance network area division, the traffic state discriminant index is introduced while considering the correlation of traffic flow. The road network correlation degree modeling oriented to guidance and control collaboration is realized, and the realization steps of the region partition algorithm based on road network correlation degree are described in detail. In this paper, the virtual region road network simulation method is used to verify and analyze the model method proposed in this chapter, and the road network partition scheme based on the road network correlation analysis is obtained. The phase difference optimization method is used to coordinate the control of the regional road network, and the main parameters of the road network performance and intersection performance before and after the optimization are obtained. At the same time, as the comparison of the zoning scheme, Synchro is used to divide the network with the same parameters. The evaluation results show that, Considering the overall benefit of road network and the benefit of intersection, Synchro's partition scheme has a certain degree of decline compared with the method in this paper. The method proposed in this paper can achieve good traffic benefit.
【学位授予单位】:吉林大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:U491
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