不确定环境下危险货物公铁联运路径优化研究  

Study on Route Optimization of Railway Combined Transport of Hazardous Materials under Uncertain Environment

作　　者：董佳 马昌喜[2] 齐博[2] 刘又萁 杨大志 DONG Jia;MA Changxi;QI Bo;LIU Youqi;YANG Dazhi(Department of Railway Traffic Operation and Management,Baotou Railway Vocational&Technical College,Baotou 014060,Inner Mongolia,China;School of Traffic&.Transportation,Lanzhou Jiaotong University,Lanzhou 730070,China;Xi'an Jiaotong-Liverpool University,Suzhou 215123,Jiangsu,China;School of Traffic Engineering,Shandong Jianzhu University,Jinan 250101,China)

机构地区：[1]包头铁道职业技术学院铁道交通运营管理系,内蒙古包头014060 [2]兰州交通大学交通运输学院,兰州730070 [3]西交利物浦大学,江苏苏州215123 [4]山东建筑大学交通工程学院,济南250101

出　　处：《兰州交通大学学报》2024年第3期28-38,共11页Journal of Lanzhou Jiaotong University

基　　金：天津大学-兰州交通大学自主创新基金(2020054);甘肃省高等学校青年博士基金(2022QB-065)。

摘　　要：为使得危险货物公铁联运路径优化更贴合实际,其引入随机机会约束理论,再用决策分析法、理论研究法和算例分析法等,把含有随机变量的不确定式子转换为确定等价形式,考虑集装箱限容、时间窗约束和运输风险等因素,以运输总成本最低、总时间最短和总风险最小为目标,建立不确定环境下的危险货物多式联运路径优化模型。基于随机模拟算法、神经元网络算法和遗传算法,设计一种改进的混合智能算法验证模型的可行性和有效性。参数变化分析表明:设计的混合智能算法比普通的启发式算法求解效率高;选用大载货量的集装箱对运输企业和风险管理部门均有益;运输途中人口密度或风险阈值越小,可使危险货物运输风险降低;花费较多财力来达到客户的时效要求,也可提高客户满意度;在途运输时间越长,风险值也就越高。以此为运输企业和管理部门提供基础理论知识和多样化的决策方案。In order to make the route optimization of the combined transport of dangerous goods more practical,the stochastic chance constraint theory is introduced,and then the uncertainty formula containing random variables is transformed into definite equivalent form by decision analysis method,theoretical research method and numerical ex-ample analysis method,and factors such as container capacity limit,time window constraint and transportation risk are considered.Aiming at the lowest total transportation cost,shortest total time and minimum total risk,the optimi-zation model of multimodal transport of dangerous goods under uncertain environment were established,Based on stochastic simulation algorithm,neural network algorithm and genetic algorithm,an improved hybrid intelligent algo-rithm was designed to validate the feasibility and effectiveness of the model.The analysis of parameter change shows that:The designed hybrid intelligent algorithm has higher solving efficiency than the ordinary heuristic algorithm;The selection of containers with large cargo capacity is beneficial to transportation enterprises and risk management departments;The smaller the population density or risk threshold during transportation,the lower the risk of hazard-ous materials transportation;Spending more financial resources to meet customer deadlines can also increase custom-er satisfaction;The longer the transit time,the higher the risk value,This provides basic theoretical knowledge and diversified decision-making schemes for transportation enterprises and management departments.

关 键 词：危险货物 公铁联运 不确定环境 混合智能算法 参数变化分析 

分 类 号：U15[交通运输工程]