基于复杂网络和实际交通数据的城市冷链物流末端配送规划

Terminal Distribution Planning of Urban Cold Chain Logistics Based on Complex Network and Actual Traffic Data

针对冷链物流末端配送网络规划问题,将复杂网络引入配送区域规划中,将城市冷链物流配送转化成复杂网络模型.考虑到城市道路的双向性、路况条件等实际交通因素的影响,利用高德地图软件获取节点间双向通行时间来表述模型中节点间的物流联系.采用Louvain社区发现方法实现物流配送区域的划分,并结合实际案例利用遗传算法进行车辆路径优化.对比分析配送网络规划前后的配送成本、车辆装载率,结果表明:采用所提方法进行配送规划能有效降低整体配送成本.

Aiming at the problem of cold chain logistics terminal distribution network planning,the complex network was introduced into the distribution area planning,and the urban cold chain logistics distribution was transformed into a complex network model.Considering the influence of actual traffic factors,such as bidirectional urban roads and road conditions,the two-way transit time between nodes was obtained by using Gaode map software to express the logistics relationship between nodes in the model.The Louvain community discovery method was used to divide the logistics distribution area,and the genetic algorithm was used to optimize the vehicle route in combination with the actual case.By comparing the distribution cost and vehicle loading rate before and after the distribution network planning,the results show that the proposed method can effectively reduce the overall distribution cost.