关键通道约束的山地城市交通出行分布模型优化研究

发布时间：2018-07-10 00:17

本文选题：关键通道 + 山地城市　；参考：《重庆交通大学》2015年硕士论文

【摘要】：山地城市受地形地貌条件的限制,形成了与平原城市风格迥异的路网结构特征和交通出行特征。在山地城市中,由于山体、水体的自然分割和用地条件的制约,连接两个区域的狭窄通道时常成为路网中的交通瓶颈,对区域间的交通出行具有限制约束作用,成为区域间交通联系的关键通道。关键通道的约束对山地城市的交通出行分布具有显著影响,而现有交通模型对此尚未充分体现,模型尚需完善。基于此,本文就关键通道约束的出行分布模型的优化开展了相关工作。本文从分析关键通道对山地城市交通的影响入手,结合交通出行分布的原理和方法,重点就关键通道约束对交通出行空间分布、时间分布的影响进行了深入分析,分别指出了现有模型的问题并提出了模型优化的思路;对关键通道约束的高峰小时模型进行了深入研究,提出以关键通道路网高峰小时交通量为边界条件确定高峰小时模型中高峰小时系数的方法,优化了高峰小时系数的确定;采用分区域高峰小时系数的方法,对高峰小时出行分布模型进行了优化。主要内容有以下几个方面:①分析了关键通道对山地城市交通的影响。总结阐述了山地城市的相关概念,详细分析了山地城市的交通特征和路网结构特征,在此基础上分析了关键通道约束对山地城市交通特征的影响。②对交通出行分布模型进行了深入分析。在阐述交通模型和四阶段法的基础上,对比分析了传统交通出行分布模型的基本原理、优缺点和适用性,进而从时间分布、空间分布两方面详细分析了交通出行分布特征。③重点研究了关键通道约束对山地城市交通出行分布模型的影响及优化。首先阐述了交通需求的特性,详细分析了关键通道约束对交通出行空间分布、时间分布的影响,分别指出了现有模型的问题,提出了模型优化的思路。在深入分析高峰小时出行分布模型问题的基础上,研究了关键通道约束对高峰小时出行分布的影响,提出以关键通道路网高峰小时交通量作为高峰小时系数确定的边界条件,优化了高峰小时系数的确定;采用分区域确定高峰小时系数的方法,对高峰小时出行分布模型进行了优化。④最后以重庆市主城区为例开展了实例分析。结合重庆的地域特点和交通模型现状,验证了关键通道约束对交通出行空间分布和时间分布具有显著影响,本文提出的高峰小时出行分布模型优化方法具有科学性和实用性。
[Abstract]:The mountainous cities are restricted by topographic and geomorphological conditions and form different road network structure and traffic travel characteristics from plain cities. In mountainous cities, because of the natural segmentation of mountain body, water body and the restriction of land use condition, the narrow passage connecting the two regions often becomes the traffic bottleneck in the road network, which has the restriction function to the traffic travel between the regions. Become a key link between the transport links between the region. The constraint of the critical passage has a significant influence on the traffic travel distribution in mountainous cities, but the existing traffic model has not been fully reflected, and the model needs to be improved. Based on this, the optimization of trip distribution model with critical channel constraints is studied in this paper. Based on the analysis of the influence of key channels on the traffic in mountainous cities and the principle and method of traffic travel distribution, this paper focuses on the analysis of the influence of key channel constraints on the distribution of traffic travel space and time. The problems of the existing models are pointed out and the ideas of model optimization are put forward, and the peak-hour model with critical channel constraints is deeply studied. The method of determining the peak hour coefficient in the peak hour model with the peak hour traffic volume of the critical road network as the boundary condition is put forward, and the determination of the peak hour coefficient is optimized, and the method of peak hour coefficient in different regions is adopted. The peak hour travel distribution model is optimized. The main contents are as follows: 1 analyzes the influence of the key passage to the mountain city traffic. This paper summarizes and expounds the related concepts of mountainous cities, and analyzes in detail the traffic characteristics and road network structure characteristics of mountain cities. On this basis, the influence of key channel constraints on the traffic characteristics of mountainous cities is analyzed. 2. The traffic travel distribution model is deeply analyzed. On the basis of expounding the traffic model and the four-stage method, the basic principle, advantages and disadvantages and applicability of the traditional traffic travel distribution model are compared and analyzed, and then from the time distribution, In this paper, the characteristics of traffic travel distribution in two aspects are analyzed in detail. 3. The influence and optimization of the key channel constraints on the traffic travel distribution model in mountainous cities are studied in detail. Firstly, the characteristics of traffic demand are expounded, the influence of key channel constraints on traffic travel space distribution and time distribution is analyzed in detail, the problems of existing models are pointed out, and the train of thought of model optimization is put forward. On the basis of deeply analyzing the problem of peak hour travel distribution model, this paper studies the influence of critical channel constraints on peak hour travel distribution, and proposes that the peak hour traffic volume of the critical channel network is taken as the boundary condition to determine the peak hour coefficient. The peak-hour coefficient is optimized, and the peak-hour travel distribution model is optimized by using the method of determining peak-hour coefficient by region. Finally, taking the main urban area of Chongqing as an example, an example analysis is carried out. Combined with the regional characteristics of Chongqing and the current situation of traffic model, it is verified that the key channel constraints have a significant impact on the distribution of traffic travel space and time. The optimization method of peak hour travel distribution model proposed in this paper is scientific and practical.
【学位授予单位】：重庆交通大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491.12

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