基于动态仿真的路网容量研究

发布时间：2018-06-22 23:11

本文选题：控规 + 容积率　；参考：《长安大学》2016年硕士论文

【摘要】：路网容量用于衡量路网的承载能力。通常以高峰小时通行能力水平作为容量测度标准,为考虑不同时刻路网交通负荷的波动差别,使得计算结果存在与路网运行临界状态不一致的可能性。本文引入了动态仿真模型及采用欧拉公式设计PA递增方法,旨在描述状态路网在高峰时刻的动态变化特点及从不同PA下的路网状态变化结果中,判断出路网临界状态,并以此作为测度标准,推导PA的极大值。分析动态仿真过程中路径获取及车辆包瞬时位置确定,设计了占有率和车速标准差指标;在PA递增方法及动态模型的基础上构建了PA递增模型,获得5组不同PA值下路网状态结果,在路网结果特征分析中发现高峰内瞬时段占有率介于0.2与0.3之间或平均行程车速约等于10km/h时,路网占有率、车速、车速标准差及延误多个指标抵达临界值且可在高峰结束后恢复至初始态,获取路网运行临界条件;在该条件约束下,基于双层规划法构建了PA反推模型,计算出PA极大值结果—路网容量;采用高峰小时交通出行生成模型计算出与容量对应的容积率。研究表明,新的PA递增方法解决了递增固定值后导致相邻两个路网状态间差异大、不连贯的问题;动态仿真中占有率和车速标准差等指标可用于分析PA递增过程中路网状态间的连续变化及高峰内的动态变化,说明动态仿真可表征路网负荷的动态变化;以路网运行临界状态为约束条件的PA反推模型计算出的极大值结果与HCM2000标准的评价结果一致,说明模型具备一定的科学性。本文提出的研究方法提高了路网容量的求解精度,将其用于辅助控规阶段容积率制定,为解决城市土地使用与交通出行供需平衡提供了参考。
[Abstract]:Network capacity is used to measure the bearing capacity of a network. Usually, the peak hour capacity level is taken as the standard of capacity measurement. In order to consider the fluctuation of traffic load at different times, it is possible that the calculation results are inconsistent with the critical state of road network operation. In this paper, the dynamic simulation model and Euler formula are introduced to design PA increment method. The purpose of this paper is to describe the dynamic change characteristics of the state road network at the peak time and to judge the critical state of the road network from the results of the road network state changes under different PA conditions. The maximum value of PA is deduced by using it as a measure standard. After analyzing the path acquisition and the instantaneous position determination of the vehicle package in the dynamic simulation process, the occupation rate and the speed standard deviation index are designed, and the PA increment model is constructed on the basis of PA incremental method and dynamic model. Five groups of road network status results under different PA values were obtained. In the analysis of road network results, it was found that when the instantaneous occupation rate of the peak was between 0. 2 and 0. 3 or the average travel speed was about equal to 10km/h, the road network occupancy rate and the speed of the road network were increased. The speed standard deviation and the delay of several indexes reach the critical value and can be restored to the initial state after the peak, and the critical condition of the road network operation is obtained. Under the constraint of the critical condition, the PA backstepping model is constructed based on the bilevel programming method. The maximum value of PA, the capacity of the road network, is calculated, and the volume ratio corresponding to the capacity is calculated by using the peak hour traffic trip generation model. The research shows that the new PA incremental method solves the problem that the difference between the two adjacent road network states is big and inconsistent after increasing the fixed value. The index of occupation and speed standard deviation in dynamic simulation can be used to analyze the continuous change of road network state and the dynamic change in peak in the process of PA increasing, which shows that dynamic simulation can represent the dynamic change of road network load. The maximum value calculated by PA backstepping model with critical condition of road network operation is consistent with that of HCM2000 standard, which shows that the model is scientific. The research method proposed in this paper improves the accuracy of solving the capacity of the road network, and applies it to the formulation of the volume ratio in the auxiliary planning stage, which provides a reference for solving the balance between the demand and supply of urban land use and traffic travel.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：U491

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