{"title":"基于车辆移动泊车为客户自提的无人机旅行商问题","authors":"Lingrui Hong , Lin Zhou , Roberto Baldacci","doi":"10.1016/j.tre.2025.104347","DOIUrl":null,"url":null,"abstract":"<div><div>This paper introduces the traveling salesman problem with drone based on vehicle mobile parking for customer self-pickup (TSPD-VMPCP) in last-mile delivery. A set of vertices is considered, including a depot, parking spots, home delivery (HD) customers that must be visited directly within predefined time windows by truck or drone, and customers with self-pickup (CP) preference that must be served by designated parking spots. Specifically, we allow the drone to perform multi-loop, in which the drone launches and lands at the same location. CP customers are covered using a probability function based on their self-pickup behavior and the truck’s stoppage duration. The TSPD-VMPCP aims to minimize the total operating cost. We model the TSPD-VMPCP as a mixed-integer linear program and develop an adaptive large neighborhood search (ALNS) metaheuristic, in addition to a two-phase local search (2P-LS) based on variable neighborhood descent (VND) and matheuristic. We assess the performance of ALNS by comparing it with the Gurobi solver on small instances. The numerical results for medium and large instances highlight the effectiveness of the various components of the ALNS. Furthermore, we provide some managerial insights.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"203 ","pages":"Article 104347"},"PeriodicalIF":8.8000,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The traveling salesman problem with drone based on vehicle mobile parking for customer self-pickup\",\"authors\":\"Lingrui Hong , Lin Zhou , Roberto Baldacci\",\"doi\":\"10.1016/j.tre.2025.104347\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper introduces the traveling salesman problem with drone based on vehicle mobile parking for customer self-pickup (TSPD-VMPCP) in last-mile delivery. A set of vertices is considered, including a depot, parking spots, home delivery (HD) customers that must be visited directly within predefined time windows by truck or drone, and customers with self-pickup (CP) preference that must be served by designated parking spots. Specifically, we allow the drone to perform multi-loop, in which the drone launches and lands at the same location. CP customers are covered using a probability function based on their self-pickup behavior and the truck’s stoppage duration. The TSPD-VMPCP aims to minimize the total operating cost. We model the TSPD-VMPCP as a mixed-integer linear program and develop an adaptive large neighborhood search (ALNS) metaheuristic, in addition to a two-phase local search (2P-LS) based on variable neighborhood descent (VND) and matheuristic. We assess the performance of ALNS by comparing it with the Gurobi solver on small instances. The numerical results for medium and large instances highlight the effectiveness of the various components of the ALNS. Furthermore, we provide some managerial insights.</div></div>\",\"PeriodicalId\":49418,\"journal\":{\"name\":\"Transportation Research Part E-Logistics and Transportation Review\",\"volume\":\"203 \",\"pages\":\"Article 104347\"},\"PeriodicalIF\":8.8000,\"publicationDate\":\"2025-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Research Part E-Logistics and Transportation Review\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1366554525003886\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part E-Logistics and Transportation Review","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1366554525003886","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
The traveling salesman problem with drone based on vehicle mobile parking for customer self-pickup
This paper introduces the traveling salesman problem with drone based on vehicle mobile parking for customer self-pickup (TSPD-VMPCP) in last-mile delivery. A set of vertices is considered, including a depot, parking spots, home delivery (HD) customers that must be visited directly within predefined time windows by truck or drone, and customers with self-pickup (CP) preference that must be served by designated parking spots. Specifically, we allow the drone to perform multi-loop, in which the drone launches and lands at the same location. CP customers are covered using a probability function based on their self-pickup behavior and the truck’s stoppage duration. The TSPD-VMPCP aims to minimize the total operating cost. We model the TSPD-VMPCP as a mixed-integer linear program and develop an adaptive large neighborhood search (ALNS) metaheuristic, in addition to a two-phase local search (2P-LS) based on variable neighborhood descent (VND) and matheuristic. We assess the performance of ALNS by comparing it with the Gurobi solver on small instances. The numerical results for medium and large instances highlight the effectiveness of the various components of the ALNS. Furthermore, we provide some managerial insights.
期刊介绍:
Transportation Research Part E: Logistics and Transportation Review is a reputable journal that publishes high-quality articles covering a wide range of topics in the field of logistics and transportation research. The journal welcomes submissions on various subjects, including transport economics, transport infrastructure and investment appraisal, evaluation of public policies related to transportation, empirical and analytical studies of logistics management practices and performance, logistics and operations models, and logistics and supply chain management.
Part E aims to provide informative and well-researched articles that contribute to the understanding and advancement of the field. The content of the journal is complementary to other prestigious journals in transportation research, such as Transportation Research Part A: Policy and Practice, Part B: Methodological, Part C: Emerging Technologies, Part D: Transport and Environment, and Part F: Traffic Psychology and Behaviour. Together, these journals form a comprehensive and cohesive reference for current research in transportation science.