长江集装箱多商品流多式联运路径优化  

Route Optimization of Container Multimodal Transport with Multi-commodityFlow in the Yangtze River

作　　者：温想 李俊[1] 计三有[2] 赵雅洁 肖笛 WEN Xiang;LI Jun;JI San-you;ZHAO Ya-jie;XIAO Di(College of Automobile and Traffic Engineering,Wuhan University of Science and Technology,Wuhan 430081;School of Transportation and Logistics Engineering,Wuhan University of Technology,Wuhan 430063,China)

机构地区：[1]武汉科技大学汽车与交通工程学院,湖北武汉430081 [2]武汉理工大学交通与物流工程学院,湖北武汉430063

出　　处：《物流工程与管理》2022年第7期127-133,共7页Logistics Engineering and Management

基　　金：湖北省教育厅科学技术研究项目(Q20211110)。

摘　　要：为了更好地保障长江集装箱多式联运经济性和实现绿色发展,以长江集装箱多式联运为场景,从承运人的角度出发,研究集装箱多商品流多式联运路径优化问题。通过碳交易机制将碳排放成本化,建立以运输总成本最小为目标的数学模型并采用改进的自适应灾变遗传算法对模型进行求解。通过算例分析发现,改进后的遗传算法在收敛速度和求解精度上更具优势,可实现集装箱多商品流多式联运路径优化问题的有效求解。同时,适当缩短铁路和水路的发车班次、调整碳交易价格均能显著降低集装箱多式联运成本,减少碳排放。In order to better ensure the economy of the Yangtze River container multimodal transport and realize green development,taking the Yangtze River container multimodal transport as the scene,from the perspective of the carrier,this paper studies the path optimization of container multimodal transport with multi-commodity flow.The carbon emission is costed through the carbon trading mechanism,the mathematical model aiming at minimizing the total transportation cost is established,and the improved self-adaptive cataclysmic genetic algorithm is used to solve the model.Through the example analysis,it is found that the improved genetic algorithm has more advantages in convergence speed and solution accuracy,and can effectively solve the path optimization problem of container multimodal transport with multi commodity flow.At the same time,by appropriately shortening the departure frequency of railway and waterway,and adjusting the carbon trading price,the cost of container multimodal transport and carbon emissions can be significantly reduced.

关 键 词：集装箱多式联运 多商品流 碳交易机制 自适应灾变遗传算法 

分 类 号：U169[交通运输工程]