Yeonseo Park , Junyeong Jeong , Chao Wang , Soomin Woo
{"title":"多式联运电动物流系统:电动卡车作为电动无人机的浮动充电器","authors":"Yeonseo Park , Junyeong Jeong , Chao Wang , Soomin Woo","doi":"10.1016/j.trd.2025.104843","DOIUrl":null,"url":null,"abstract":"<div><div>This paper proposes a novel problem called Multi-modal Electric Vehicle Routing Problem with Drones (MEVRPD) that uses electric trucks as landing and charging pads for drones. By using a novel solution state structure and a hybrid Adaptive Large Neighborhood Search with Genetic Algorithm. We evaluate the performance of the multi-modal system by comparing three operation scenarios: electric trucks only (baseline), trucks as delivery vehicles and landing pads for drones (floating landing pads, FLP), and trucks as delivery vehicles and landing/charging pads for drones (floating chargers, FC). We find that the FC mode achieves the lowest total cost from extending the drone range, increasing deliveries by drones, and reducing driving time and wage costs, with a small trade-off of increasing drone energy consumption. Additionally, a sensitivity analysis reveals that when ground speeds and drone battery capacities are low, the FC operation mode can greatly decrease the total costs.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104843"},"PeriodicalIF":7.3000,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-modal electric logistics system: Electric trucks as floating chargers for electric drones\",\"authors\":\"Yeonseo Park , Junyeong Jeong , Chao Wang , Soomin Woo\",\"doi\":\"10.1016/j.trd.2025.104843\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper proposes a novel problem called Multi-modal Electric Vehicle Routing Problem with Drones (MEVRPD) that uses electric trucks as landing and charging pads for drones. By using a novel solution state structure and a hybrid Adaptive Large Neighborhood Search with Genetic Algorithm. We evaluate the performance of the multi-modal system by comparing three operation scenarios: electric trucks only (baseline), trucks as delivery vehicles and landing pads for drones (floating landing pads, FLP), and trucks as delivery vehicles and landing/charging pads for drones (floating chargers, FC). We find that the FC mode achieves the lowest total cost from extending the drone range, increasing deliveries by drones, and reducing driving time and wage costs, with a small trade-off of increasing drone energy consumption. Additionally, a sensitivity analysis reveals that when ground speeds and drone battery capacities are low, the FC operation mode can greatly decrease the total costs.</div></div>\",\"PeriodicalId\":23277,\"journal\":{\"name\":\"Transportation Research Part D-transport and Environment\",\"volume\":\"146 \",\"pages\":\"Article 104843\"},\"PeriodicalIF\":7.3000,\"publicationDate\":\"2025-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Research Part D-transport and Environment\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1361920925002536\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part D-transport and Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1361920925002536","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
Multi-modal electric logistics system: Electric trucks as floating chargers for electric drones
This paper proposes a novel problem called Multi-modal Electric Vehicle Routing Problem with Drones (MEVRPD) that uses electric trucks as landing and charging pads for drones. By using a novel solution state structure and a hybrid Adaptive Large Neighborhood Search with Genetic Algorithm. We evaluate the performance of the multi-modal system by comparing three operation scenarios: electric trucks only (baseline), trucks as delivery vehicles and landing pads for drones (floating landing pads, FLP), and trucks as delivery vehicles and landing/charging pads for drones (floating chargers, FC). We find that the FC mode achieves the lowest total cost from extending the drone range, increasing deliveries by drones, and reducing driving time and wage costs, with a small trade-off of increasing drone energy consumption. Additionally, a sensitivity analysis reveals that when ground speeds and drone battery capacities are low, the FC operation mode can greatly decrease the total costs.
期刊介绍:
Transportation Research Part D: Transport and Environment focuses on original research exploring the environmental impacts of transportation, policy responses to these impacts, and their implications for transportation system design, planning, and management. The journal comprehensively covers the interaction between transportation and the environment, ranging from local effects on specific geographical areas to global implications such as natural resource depletion and atmospheric pollution.
We welcome research papers across all transportation modes, including maritime, air, and land transportation, assessing their environmental impacts broadly. Papers addressing both mobile aspects and transportation infrastructure are considered. The journal prioritizes empirical findings and policy responses of regulatory, planning, technical, or fiscal nature. Articles are policy-driven, accessible, and applicable to readers from diverse disciplines, emphasizing relevance and practicality. We encourage interdisciplinary submissions and welcome contributions from economically developing and advanced countries alike, reflecting our international orientation.