集装箱港口陆域集疏设施规模优化配置

发布时间：2018-03-24 05:17

本文选题：港口规划　切入点：物流工程　出处：《天津大学》2015年博士论文

【摘要】：陆域集疏设施规模大小是集装箱港口吞吐量增长的重要制约因素,如何在经济投资、节能减排、生态保护等限制条件下优化规模配置,已然成为现代港口规划设计研究重点。集装箱港口陆域集疏设施规模配置是一个复杂系统优化问题,本文运用元胞自动机、多目标优化等方法建立仿真模型,研究陆域集疏设施的用地规模和通过能力的最优配置,得到的结论对于我国港口发展建设具有一定参考价值。首先,针对集装箱码头和后方堆场系统的复杂特征,本文梳理了集疏港物流生产流程,运用元胞自动机仿真技术,自下而上,分别建立码头系统和后方堆场系统的仿真模型。目前此类仿真模型大都基于确定性关系建立,本文则考虑了集疏港车辆及集装箱单体的异质性对系统整体效率的影响,并设定运行规则描述集疏港子系统之间复杂的非确定性关系。通过仿真实验校正模型后,进一步研究码头和后方堆场设施用地面积与通过能力之间的内在关系,提出码头和后方堆场设施在物流生产设备工况不变的情况下规模优化方法。其次,本文提出了一种港内道路路网容量优化方法。目前港口道路交通预测均采用传统四阶段方法,本文通过车辆集疏港出行链分析,发现了出行路径与集疏港管理流程密切相关,并建立集疏港交通PA分布模型,提出吞吐量与交通分布矩阵的转换方法,结合多用户多路径配流模型预测港内道路交通流量。本文在交通分布和交通分配两个层面改进了传统四阶段法,考虑卡子门、码头和后方堆场节点容量限制对流量预测的影响,符合集装箱港口道路交通产生及分布机理。在此基础上,本文运用博弈理论分析港内道路建设投资与服务水平之间相互关系,建立了基于双层规划模型的港内路网容量优化模型,并采用遗传算法进行求解。最后,本文建立集装箱港口陆域集疏设施规模配置多目标规划优化模型,提出了码头、后方堆场和港内道路的“用地面积、通过能力”最优配置方法。与以往研究不同,本文将码头、后方堆场和港内道路作为一个整体研究,采取“优化、反馈、仿真、优化”动态思路,提出系统仿真与多目标规划模型交互反馈方法,求解码头、后方堆场和港内道路的规模配置最优解集。
[Abstract]:The size of land land gathering facilities is an important restriction factor for container port throughput growth. How to optimize the scale allocation under the constraints of economic investment, energy saving and emission reduction, ecological protection, etc. It has become the focus of modern port planning and design. The scale allocation of container port land area gathering facilities is a complex system optimization problem. In this paper, we use cellular automata, multi-objective optimization and other methods to establish simulation model. The paper studies the land scale and the optimal allocation of the capacity of land collecting and thinning facilities in the land area. The conclusions obtained are of certain reference value for the development and construction of ports in China. Firstly, the complex characteristics of container terminal and rear yard system are analyzed. This paper combs the production flow of Jishugang logistics, sets up the simulation models of terminal system and rear yard system from bottom to top by using cellular automata simulation technology. At present, most of these simulation models are based on deterministic relation. In this paper, the influence of the heterogeneity of vehicle and container unit on the overall efficiency of the system is considered, and the operation rules are set up to describe the complex non-deterministic relationship between the sealed-port subsystem. After the simulation experiment, the model is corrected. This paper further studies the internal relationship between the land area and the passing capacity of the terminal and the rear yard facilities, and puts forward the optimization method of the scale of the terminal and the rear yard facility under the condition that the logistics production equipment condition is invariable. Secondly, In this paper, a method of optimizing the capacity of road network in port is put forward. At present, the traditional four-stage method is used to forecast the port traffic. Through the analysis of the trip chain of the vehicles, it is found that the travel path is closely related to the management flow of the port. The PA distribution model of Jishuang traffic is established, and the transformation method of throughput and traffic distribution matrix is proposed. In this paper, the traditional four-stage method is improved in terms of traffic distribution and traffic assignment, considering the influence of node capacity restriction on the flow prediction of Kazimen, wharf and rear yard. In accordance with the mechanism of road traffic generation and distribution in container ports, this paper uses game theory to analyze the relationship between road construction investment and service level in ports. Based on the bilevel programming model, the optimization model of network capacity in ports is established and solved by genetic algorithm. Finally, the multi-objective programming optimization model for the scale configuration of container ports' land land gathering facilities is established, and the wharf is proposed. The optimal allocation method of "land area, through capacity" for rear yard and port road. Different from previous studies, this paper takes the wharf, rear yard and road as a whole, and adopts "optimization, feedback, simulation," In this paper, an interactive feedback method between system simulation and multi-objective programming model is put forward to solve the optimal set of scale allocation of wharf, rear yard and port road.
【学位授予单位】：天津大学
【学位级别】：博士
【学位授予年份】：2015
【分类号】：U653.7

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