多车场多车型冷链物流时变绿色车辆路径优化  

Optimization of Time-varying Green Vehicle Routing in Multi-depot and Multi-vehicle Cold Chain Logistics

作　　者：王南星 韩宗睿 刘勇[1] 马云峰[1] WANG Nanxing;HAN Zongrui;LIU Yong;MA Yunfeng(School of Management,Wuhan University of Science and Technology,Wuhan 430081,China;School of Information,Wuhan University of Science and Technology,Wuhan 430081,China)

机构地区：[1]武汉科技大学管理学院,湖北武汉430081 [2]武汉科技大学信息学院,湖北武汉430081

出　　处：《物流科技》2024年第15期141-146,共6页Logistics Sci-Tech

基　　金：教育部人文社会科学基金项目"Humanity and Social Science Foundation of Ministry of Education of China"(19YJA630054);湖北省教育厅人文社科项目“高校教师新信息技术平台的接受和持续使用研究--以师生感知效能为视角”。

摘　　要：为降低运输成本,减少环境污染,提出一种考虑速度时变的多车场多车型绿色车辆路径优化方法。针对城市交通拥堵路况常发的现状,引入百度智慧交通网预测的拥堵指数反映实时路况,兼顾经济成本和环境成本,构建以总运输成本最小为优化目标的时变绿色车辆路径模型。根据模型特点改进遗传算法,并运用大中小3种规模的算例对其进行仿真实验,验证了模型和算法可以有效地降低物流配送成本,促进配送车辆节能减排,为生鲜电商冷链物流配送决策提供车辆运输路径方案。To reduce the transportation cost and environmental pollution,an optimization method of multi-parking and multi-vehicle green vehicle routing considering the time-varying speed is proposed.In view of the frequent occurrence of urban traffic congestion,the congestion index predicted by Baidu Intelligent Transportation Network is introduced to reflect the real-time traffic conditions,taking into account the economic cost and environmental cost,and a time-varying green vehicle path model with the optimization goal of minimizing the total transportation cost is constructed.According to the characteristics of the model,the genetic algorithm is improved,and the simulation experiments are carried out with three scale examples.It is verified that the model and algorithm can effectively reduce the cost of logistics distribution,promote the energy saving and emission reduction of distribution vehicles,and provide a vehicle transportation path scheme for the cold chain logistics distribution decision of fresh e-commerce.

关 键 词：城市交通 多车场多车型 改进遗传算法 冷链物流 时变绿色车辆路径优化 

分 类 号：F570[经济管理—产业经济]