路网容量约束下的土地开发强度优化研究

发布时间：2018-04-06 04:04

本文选题：城市交通　切入点：路网容量　出处：《西南交通大学》2014年硕士论文

【摘要】：规划阶段,城市区域路网的路网容量是确定土地开发强度的重要依据。研究引入道路时空消耗的概念,对路网容量和交通资源消耗进行量化分析,并在此基础上建立微观路网容量与土地开发强度的关系模型,对区域内土地开发强度进行优化。研究在路网容量对土地开发强度制约作用的定性分析基础上,以道路网络的时空资源供给与消耗描述区域交通供需关系；然后,量化分析路网容量与土地开发强度的关系,建立非线性规划模型并设计算法对模型进行求解；最后通过实例进行验证。研究的主要内容包括： 1.通过对交通流模型和BPR模型进行分析,得出时空消耗法中各参数的动态值,从而准确描述动态路网的交通运行状况。 2.对四阶段方法进行微观化处理,以单元地块为单位划分交通小区进行,加入对单元地块出入口位置的考虑,从微观角度对区域交通需求进行分析和计算。 3.以实例计算数据,对不同路网条件下的流量饱和度与容量饱和度进行对比,分析产生差异的原因并证明方法的合理性。 4.在时空消耗法的基础上,建立路网容量约束下的土地开发强度优化非线性规划模型。 5.基于TransCAD的二次开发功能,首先采用模拟退火算法对模型进行求解,然后设计了一种基于地块容积率弹性系数的增量算法对模型进行求解。 6.分别采用两种算法对实例进行计算,并对两种算法的优缺点进行分析。
[Abstract]:In the planning stage, the network capacity of the urban area network is an important basis for determining the intensity of land development.This paper introduces the concept of road space-time consumption, analyzes the capacity of road network and the consumption of traffic resources, and establishes the relationship model between the capacity of road network and the intensity of land development, and optimizes the intensity of land development in the region.Based on the qualitative analysis of the restricting effect of road network capacity on land development intensity, this paper describes the relationship between regional traffic supply and demand by the supply and consumption of space-time resources of road network, and then, quantitatively analyzes the relationship between road network capacity and land development intensity.The nonlinear programming model is established and the algorithm is designed to solve the model.The main contents of the study include:1.By analyzing the traffic flow model and the BPR model, the dynamic values of the parameters in the space-time consumption method are obtained, and the traffic operation status of the dynamic road network is described accurately.2.In this paper, the four-stage method is microscopically processed, and the traffic area is divided into the unit plot as a unit, and the location of the entrance and exit of the unit land block is taken into account, and the regional traffic demand is analyzed and calculated from the microscopic point of view.3.In this paper, the flow saturation and capacity saturation under different road network conditions are compared, the reasons for the difference are analyzed and the rationality of the method is proved.4.Based on the space-time consumption method, the nonlinear programming model of land development intensity optimization under the constraints of road network capacity is established.5.Based on the secondary development function of TransCAD, the model is solved by simulated annealing algorithm, and then an incremental algorithm based on the elastic coefficient of plot volume rate is designed to solve the model.6.Two algorithms are used to calculate the examples, and the advantages and disadvantages of the two algorithms are analyzed.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F301.2;U491

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