作　　者： (程月娇）; (施炯）; (黄彬）;

机构地区： 浙江万里学院,浙江宁波315100

出　　处： 《浙江万里学院学报》 2017年第4期27-33,共7页

摘　　要： 在移动互联网时代,电商产业的高速发展和各类O2O行业的兴起,导致最后三公里的同城配送业务量日益激增,传统的物流服务无法满足市场需求。基于众包理念的物流模式,可以利用社会闲散资源,缓解井喷式增长的快递数量给城市末端配送带来的极大压力。为了提高众包物流平台订单处理效率、减少物流配送成本,文章描述了静态和动态的接单模式,设计了一种基于用户出行信息的订单匹配方法,其中包含了路网构建、方向判断以及基于路线的订单匹配方法,并用蚁群算法求解最优路径。在此基础上,利用百度地图而设计的应用程序,验证了算法的可行性与实用性。 In the era of mobile Internet,with the rapid development of E-Commerce and O2O industries,there is an increasing business volume in the last three kilometers of the city＇s distribution.The traditional logistics services can not meet the market demand.Crowdsourcing Logistics can use the idle social resources,to ease the great pressure on the city terminal distribution which is caused by the dramatic growth of the express volumn.In order to improve the efficiency of order processing and reduce the cost of logistics distribution,this paper describes the static and dynamic orders arrangement mode,and proposes an order matching method based on user travel information.The design and implementation including the construction of urban traffic network,direction judgment and path matching method,and use the ant colony algorithm to get the optimal path.On this basis,Baidu map API is used to verify the feasibility and practicability of the algorithm.

关 键 词： 众包物流 路径匹配 蚁群算法 路径优化