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首页> 外文期刊>Journal of advanced transportation >Research on Loading and Unloading Resource Scheduling and Optimization of Rail–Road Transportation in Container Terminal Based on “Internet +” —for Ghana Container Port Development Planning
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Research on Loading and Unloading Resource Scheduling and Optimization of Rail–Road Transportation in Container Terminal Based on “Internet +” —for Ghana Container Port Development Planning

机译：基于“互联网+” - 加薪集装箱港口开发规划，集装箱码头轨道运输资源调度与优化研究

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摘要

Based on the “Internet +” technology, this paper establishes a logistics information platform for the container terminal. Under the premise of the scheduled arrival time and quantity of the truck, this paper aims at minimizing the working time of the loading and unloading equipment and the stay time of the train and truck in the station, and develops a scheduling optimization of loading and unloading model combing equilibrium assignment and flexible scheduling to realize the seamless transfer between rail and road transportation in container terminal. In order to solve the model, a multi-layer coding genetic algorithm with chromosome feasibility is designed to obtain the optimal scheduled time for the truck, and the optimal operation sequence of the gantry crane. Referring to China’s container station, this paper takes Takoradi container terminal of Ghana as a case to verify the accuracy and effectiveness of the model and algorithm and provides the medium or long term planning for Ghana’s development.
机译：基于“互联网+”技术，本文为集装箱码头建立了物流信息平台。在预定抵达时间和货车的抵达时间和数量的前提下，本文旨在最大限度地减少装载设备的工作时间以及车站中火车和卡车的停留时间，并开发装载和卸载的调度优化梳理均衡分配的模型实现集装箱终端轨道路交通无缝转移的尺寸。为了解决该模型，设计具有染色体可行性的多层编码遗传算法，用于获得卡车的最佳预定时间，以及龙门起重机的最佳操作顺序。参考中国的集装箱站，本文需要加纳的Takoradi集装箱码头，以验证模型和算法的准确性和有效性，并为加纳的发展提供中期或长期规划。

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