菜鸟驿站无人配送车物流路径规划算法实证研究  

Empirical Study on Logistics Path Planning Algorithm of Unmanned Delivery Vehicle in Cainiao Post Station

作　　者：汪洋 孙剑 WANG Yang;SUN Jian(School of Artificial Intelligence and Big Data,Luzhou Vocational and Technical College,Luzhou 646000,China)

机构地区：[1]泸州职业技术学院人工智能与大数据学院,四川泸州646000

出　　处：《物流科技》2022年第16期24-26,30,共4页Logistics Sci-Tech

基　　金：四川省社会科学重点研究基地四川省电子商务与现代物流研究中心课题“双碳目标背景下数智化技术赋能菜鸟全链路绿色物流应用研究”(DSWL-18)。

摘　　要：菜鸟自主研发的车辆路径规划算法目前在国际上已达到领先水平,该算法可以应用在末端“最后一公里”校园配送中,帮助菜鸟无人车自主选择最优配送路线,有效降低车辆行驶距离,缩短配送时间。文章以泸州职业技术学院菜鸟驿站为例,在校园中设计了严谨科学的对比实验开展了无人配送车物流路径规划算法的实证研究,实验结果有力证明了算法的有效性。The vehicle path planning algorithm independently developed by Cainiao has reached the leading level in the world.This algorithm can be applied to the campus distribution of“the last kilometer”at the end of the terminal,helping Cainiao unmanned vehicle choose the optimal distribution route independently,effectively reducing the driving distance of vehicles and shortening the distribution time.Taking the Cainiao Post Station of Luzhou Vocational and Technical College as an example,the paper designed a rigorous and scientific comparative experiment on the campus to carry out an empirical study on the logistics path planning algorithm of unmanned distribution vehicles.The experimental results strongly prove the effectiveness of the algorithm.

关 键 词：车辆路径规划算法 最优配送路线 实证研究 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]