摘要
为应对配送车辆引起道路拥堵和环境污染问题,提出地铁与货车联合运输.在不改变地铁运行方案的前提下,利用地铁非高峰时段开展货物配送;考虑地铁剩余运能、货车容量、最大行驶距离、客户服务时间窗等限制条件,以配送距离最短为优化目标,构建基于地铁-货车联运的物流配送路径优化模型.通过地铁配送路径设计不规则二维矩阵编码结构,使用改进自适应遗传算法求解.以某市地铁货物运输为例,验证模型和算法的实用性、有效性.结果表明,地铁-货车联合配送距离短,在客户时间窗范围内送达比例高,有效提高客户满意度.
In order to alleviate traffic congestion and environmental pollution caused by distribution vehicles,subway-freight truck intermodal transportation services are designed.The subway services are used for freight transportation in the non-traffic peak hours with the fixed train service plan.Considering the constraints on the surplus capacity of subway trains,truck capacity,maximum truck driving distance,and customer service time windows,the logistics distribution routing optimization model is constructed to minimize the distribution distance.An improved adaptive genetic algorithm,which involves an irregular two-dimensional matrix coding structure,is proposed to solve the problem.The performance of the proposed model and algorithm is verified based on a real case in a city.The results show that the subway-freight truck intermodal transportation services can effectively improve customer satisfaction because of the high delivery rate within customer time windows and shorter distribution distance.
作者
周晓晔
崔瑶
何亮
马小云
王思聪
ZHOU Xiao-ye;CUI Yao;HE Liang;MAXiao-yun;WANG Si-cong(School of Management,Shenyang University of Technology,Shenyang 110000,China;School of Arts and Humanities,Liaoning Institute of Science and Technology,Benxi 117000,Liaoning,China;Department of Mechanical and Electronic Engineering,Liaoning Provincial College of Communications,Shenyang 110000,China)
出处
《交通运输系统工程与信息》
EI
CSCD
北大核心
2020年第3期111-117,共7页
Journal of Transportation Systems Engineering and Information Technology
基金
辽宁省社会科学规划基金(L18AGL005).
关键词
综合交通运输
路径优化
改进自适应遗传算法
地铁配送
时间窗
integrated transportation
routing optimization
improved adaptive genetic algorithm
subway distribution
time windows
