低碳目标下城市客运交通结构优化及路网限速双层规划模型研究

发布时间：2018-05-23 09:07

本文选题：二氧化碳排放 + 交通结构优化　；参考：《合肥工业大学》2015年硕士论文

【摘要】：在快速城市化和机动化发展的背景下,城市交通部门已经成为我国碳排放的主要部门之一,因此,减少城市交通系统的碳排放已经城市交通系统建设不可或缺的部分。本文主要以减少碳排放为目标,研究了面向城市交通系统建设的客运交通结构优化模型和路网限速的双层规划模型。论文在较深入学习和应用城市低碳交通体系的相关理论的基础上,提出了降低城市交通碳排放的方式。对城市交通系统构成进行了系统分析,针对城市客运交通系统中轨道交通、常规公交、出租车、私家车、自行车及步行六种主要交通出行方式的出行特性进行了分析。论文以交通碳排放最小化、交通总效能最大化为目标,以城市道路资源、城市交通能源消耗、出行需求、出行时间、交通方式发展规模以及出行人次作为约束条件,建立了城市客运交通系统的双目标结构优化模型。以合肥市为例,进行了实例分析,以检验模型的正确性和实用性。论文在研究碳排放计算的基础上,进行了城市交通路网车辆二氧化碳排放量与出行速度的关系等相关问题的研究,以降低交通路网二氧化碳排放总量为目标,以路网路段出行速度限制为设计变量,建立了固定出行需求下的交通路网速度限制的双层规划模型,模型上层问题以路网车辆二氧化碳总排放量最低为目标,下层以用户平衡准则描述路网出行者的出行路径选择行为,并设计了基于遗传算法的模型求解方法,最后通过简单算例进行模拟计算,以检验所构建双层规划模型及其求解算法的有效性。研究成果将为城市道路交通规划与管理相关政策的制定提供科学依据。
[Abstract]:Under the background of rapid urbanization and motorized development, urban transport sector has become one of the main sectors of carbon emissions in China. Therefore, reducing the carbon emissions of urban transport system has become an indispensable part of urban transport system construction. With the aim of reducing carbon emissions, this paper studies the optimization model of passenger traffic structure and the double-level programming model of speed limit for urban traffic system construction. On the basis of deeply studying and applying the theory of urban low-carbon transportation system, the paper puts forward a way to reduce the carbon emission of urban traffic. The structure of urban transportation system is systematically analyzed, and the travel characteristics of six major modes of transportation in urban passenger transport system, such as rail transit, conventional public transport, taxi, private car, bicycle and walking, are analyzed. The paper aims at minimizing the carbon emissions of traffic and maximizing the overall efficiency of traffic, taking urban road resources, energy consumption of urban transportation, travel demand, travel time, scale of development of transportation mode and trips as constraints. The dual objective structure optimization model of urban passenger transport system is established. Taking Hefei as an example, an example is analyzed to verify the correctness and practicability of the model. Based on the study of carbon emission calculation, this paper studies the relationship between vehicle carbon dioxide emissions and travel speed in urban transportation network, aiming at reducing the total carbon dioxide emissions of urban transport network. Taking the travel speed limit of road section as the design variable, a two-level programming model of the speed limit of the traffic network is established under the fixed travel demand. The upper level problem of the model is aimed at the minimum total carbon dioxide emission of the vehicle in the road network. In the lower layer, the user balance criterion is used to describe the route selection behavior of road network travelers, and a model solving method based on genetic algorithm is designed. Finally, a simple example is used to simulate the behavior. The validity of the bilevel programming model and its solving algorithm is verified. The research results will provide scientific basis for the formulation of urban road traffic planning and management policies.
【学位授予单位】：合肥工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491

【相似文献】