Truck-drone Joint Delivery with Consideration Given to Customers with Great Demands and at Great Distances

被引：0
|
作者：
Song R. [1 ]
Bian J. [1 ]
He S.-W. [1 ]
Chi J.-S. [1 ]
机构：
[1] Key Lab. of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing
来源：
Zhongguo Gonglu Xuebao/China Journal of Highway and Transport | 2024年 / 37卷 / 03期
基金：
中国国家自然科学基金;
关键词：
adaptive large neighborhood search; drone; joint delivery; routing problem; traffic engineering;
D O I：
10.19721/j.cnki.1001-7372.2024.03.026
中图分类号：
学科分类号：
摘要：
The truck-drone delivery mothership system refers to a joint delivery pattern in which a truck carries drones to locations close to customers, launches these drones to serve multiple customers, and then retrieves the drones. This is an important development direction with potential in the field of traffic engineering. Owing to the demands of some customers related to the load capacity of a drone and locations outside the flight range of a drone, a truck-drone joint delivery system that considers customers with greater demands and at greater distances (TDJD-CGDGD) based on the mothership system is proposed, where the truck is allowed to serve customers in question and drones can be retrieved at different locations from where they are launched. This delivery pattern can be viewed as a traveling salesman problem for drones. An MILP model aimed at minimizing the total delivery cost was formulated. To solve large-scale instances efficiently, an algorithm hybridizing the greedy randomized adaptive search procedure (GRASP) and adaptive large neighborhood search (ALNS) was developed. This algorithm first routes trucks and drones with an additional constraint that can simplify truck-drone simultaneous routing. This additional constraint is then relaxed, and the algorithm focuses on adjusting the drone routes to further reduce the total cost. It was found that our algorithm had good performance; TDJD-CGDGD achieved an average cost saving of 19% compared to truck-only delivery, allowing drones to be launched and retrieved to service customers with high demands, resulting in an average cost saving of 5% compared to not allowing this function. © 2024 Chang'an University. All rights reserved.
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页码：395 / 406
页数：11
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