基于集卡预约策略的集卡路径优化
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作者单位:

1.大连海事大学;2.大连海事大学交通运输工程学院

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U697

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Routing Optimization of Container Trucks based on Container Trucks Appointment
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1.大连海事大学;2.School of Transportation Engineering of Dalian Maritime University

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    摘要:

    针对港外集卡装箱送往货运场站,并在货运场站装箱送往港口的整个路线进行研究。在集卡预约机制下,通过预测港口与货运场站、货运场站与货运场站之间的行程时间,确定某一时间段预约上限,完成运输任务。通过建立运输时间最小优化模型,对运输周转时间进行计算,采用遗传模拟退火算法进行求解,根据运输周转时间结果设计优化运输方案。实验表明,该模型可以有效减少闸口等待时间,进而缩短运输时间,提高集卡工作效率。

    Abstract:

    This paper studies the entire route from container trucks outside the port to the freight station and from the freight station to the port. Under the container trucks appointment mechanism, by forecasting the travel time between the port and the freight station, and the travel time between the freight stations, the upper limit of the reservation is determined in a certain period of time, and the transportation task of container trucks is completed. Through the establishment of the minimum optimization model of transportation time, the truck transportation turnover time is calculated, and the genetic simulated annealing algorithm is used to solve the problem. According to the results of transportation turnover time, the optimized transportation scheme is designed. Experimental results show that the model can effectively reduce the waiting time at the gate, thus shortening the transportation time and improving the efficiency of the container trucks.

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引用本文

张赫,刘宇,王天慈. 基于集卡预约策略的集卡路径优化[J]. 科学技术与工程, , ():

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历史
  • 收稿日期:2021-06-01
  • 最后修改日期:2021-11-04
  • 录用日期:2021-11-10
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