考虑交通受限的卡车无人机协同配送路径优化研究  

Research on Path Optimization for Collaborative Delivery of Trucks and Drones Considering Traffic Restrictions

作　　者：娄君源 张志清[1] LOU Junyuan;ZHANG Zhiqing(School of Management,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

出　　处：《物流科技》2025年第5期24-27,共4页Logistics Sci Tech

基　　金：武汉科技大学“十四五”湖北省优势特色学科(群)项目“数字化转型背景下数据驱动的敏捷协同创新理论与方法研究”(2023D0402)。

摘　　要：随着城市化进程的加速,交通拥堵已成为城市生活中不可忽视的问题,许多城市采取了车牌限行等措施来缓解交通压力。同时,为了确保飞行安全和维护城市秩序,一些城市也通过设定禁飞区等对无人机飞行进行限制。这些政策给城市物流配送带来了很大的挑战。文章提出了一种基于卡车无人机协同配送的解决方案,并采用单亲遗传算法对模型进行求解,实验结果表明,相比传统的卡车配送方式,协同方案可以缩短配送时间,能够在一定程度上避免交通拥堵和无人机飞行安全带来的不确定性,提高配送效率和准确性。With the acceleration of urbanization,traffic congestion has become a non-negligible problem in urban life.Many cities have taken measures such as license plate restrictions to alleviate traffic pressure.At the same time,in order to ensure flight safety and maintain urban order,some cities have also restricted drone flights by setting no-fly zones and other measures.These policies bring great challenges to urban logistics and distribution.This paper proposes a solution based on the collaborative delivery of truck-drone,and uses the single parent genetic algorithm to solve the model.The experimental results show that compared with the traditional truck delivery method,the collaborative solution can shorten the delivery time,avoid the uncertainty caused by traffic congestion and drone flight safety to a certain extent,and improve the efficiency and accuracy of delivery.

关 键 词：卡车 无人机 协同配送 遗传算法 

分 类 号：F252.14[经济管理—国民经济]