首页|基于车船直取模式的集装箱海铁联运衔接优化

基于车船直取模式的集装箱海铁联运衔接优化

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为解决车船直取模式下集装箱海铁联运衔接优化问题,基于固定的船期,本文考虑火车班列和集装箱船在时间和运量两个维度上的衔接,以衔接班列数量最大化、衔接船舶数量和时刻表调整最小化为目标,构建海铁联运班列时刻表优化的混合整数非线性规划模型,并基于分层优化方法进行求解.以深圳盐田港为例,对模型进行分析验证.结果表明:考虑时间和运量衔接的班列时刻表优化,可以带来衔接的班列数量增加6个,车船直取集装箱总量增加466 TEU,提高了75%;衔接的船舶数量增加了1个,3艘船装载的车船直取箱量分别提高了2.6%、4.2%和2.5%;集装箱在港口总停留时间缩短了26%.研究表明,该模型可为改善港口车船直取模式下海铁联运衔接水平提供有益参考.
Connection Optimization of Container Sea-rail Combined Transport Based on Vehicle-ship Direct Access Mode
To address the optimization problem of container-sea-rail intermodal connections under the direct access mode of vehicles and ships,this study considers the connection between trains and container ships in terms of time and volume,based on the fixed ship schedule.A mixed-integer nonlinear programming model is constructed for the timetable optimization of sea-rail intermodal transportation,aiming at maximizing the number of connected trains,minimizing the number of ships involved in the connection and minimizing the timetable adjustment.The solution is obtained based on a hierarchical optimization method.The model is verified by using Yantian Port in Shenzhen as an example.The results show that the optimization of train schedule considering time and volume connection can increase the number of connected trains by 6,and the number of directly transshipment containers by 75%with 466 TEU.The number of ships involved in the connection increased by 1,and the number of containers taken directly by the three ships increased by 2.6%,4.2%and 2.5%,respectively.The total dwell time of the containers in the port was reduced by 26%.The study shows that the model can provide useful references for improving the connection level of sea-rail combined transport direct access mode.

integrated transportationsea-rail combined transport connectiontimetable optimizationcontainer sea-rail transportdirect access by vehicle and ship

王爽、孙翔

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大连海事大学,交通运输工程学院,辽宁大连 116026

综合运输 海铁联运衔接 时刻表优化 集装箱海铁联运 车船直取

国家自然科学基金辽宁省社科基金中国博士后科学基金

72104041L21CGL0092023M740464

2024

10.16097/j.cnki.1009-6744.2024.02.006

交通运输系统工程与信息
中国系统工程学会

交通运输系统工程与信息

CSTPCD北大核心
影响因子：0.664
ISSN：1009-6744
年,卷(期)：2024.24(2)
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