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为对交通拥挤管理建立一种量化且具有主动性的、关联直接致因、非主观性的拥挤测度,论证了现有交通拥挤度量方法的局限,提出以一定空间范围的流入率和流出率及其延续时间度量拥挤的发生、发展及其严重性。针对交通拥挤形成过程,建立了基于驶入、驶出流率的交通拥挤度定义、基本计算单元模型,统一了车流顺畅、压缩、停车排队及排队扩散的测度,分别给出了路段、交叉口和路网拥挤度计算模型。理论分析和数值仿真计算表明,所提出模型和方法可以用从0到1、以及大于1的连续数值,量化拥挤从发生到形成及至消散过程的各阶段状态,对交通拥挤刻画具有动态、实时和预测性。论文还对所提理论及方法的实际应用规划了进一步研究的方向和思路。
In order to establish a quantitative and proactive concurrency measure with direct and indirect subjectivity for traffic congestion management, this paper demonstrates the limitations of the existing traffic congestion measures and proposes a new approach to measure traffic congestion by using inflow rates and outflow rates in a certain spatial range and Its duration measures the occurrence, development and severity of congestion. Aiming at the formation process of traffic congestion, the definition of traffic congestion degree based on traffic entering and leaving traffic rates and the basic calculation unit model are established. The traffic flow smoothing, compression, parking queuing and queuing and diffusion are unified. The road sections, intersections And road network congestion degree calculation model. Theoretical analysis and numerical simulations show that the proposed model and method can quantify the states of congestion from occurrence to formation and dissipation through continuous numerical values ranging from 0 to 1 and greater than 1, Predictive. The thesis also plans the direction and train of thought for further research on the practical application of the theory and method mentioned.