{"id":57696,"date":"2026-05-04T09:26:44","date_gmt":"2026-05-04T07:26:44","guid":{"rendered":"https:\/\/www.nae.fr\/2026\/05\/04\/path-optimization-for-multi-vehicle-and-multi-uav-collaborative-delivery-in-flood-rescue-under-road-disruptions-a-case-study-of-the-2024-guangdong-flood-disaster\/"},"modified":"2026-05-04T09:26:44","modified_gmt":"2026-05-04T07:26:44","slug":"path-optimization-for-multi-vehicle-and-multi-uav-collaborative-delivery-in-flood-rescue-under-road-disruptions-a-case-study-of-the-2024-guangdong-flood-disaster","status":"publish","type":"post","link":"https:\/\/www.nae.fr\/en\/2026\/05\/04\/path-optimization-for-multi-vehicle-and-multi-uav-collaborative-delivery-in-flood-rescue-under-road-disruptions-a-case-study-of-the-2024-guangdong-flood-disaster\/","title":{"rendered":"Path Optimization for Multi-Vehicle and Multi-UAV Collaborative Delivery in Flood Rescue Under Road Disruptions: A Case Study of the 2024 Guangdong Flood Disaster"},"content":{"rendered":"<blockquote>\n<div class=\"summary\">\n\nFlood disasters often disrupt road networks and severely reduce ground accessibility, hindering the timely delivery of emergency supplies. To address this challenge, this study investigates a collaborative routing problem involving multiple vehicles and multiple UAVs under road disruptions and formulates a mixed-integer linear programming model that jointly minimizes mission makespan and priority-weighted response time for critical nodes. The model explicitly captures road feasibility, vehicle speeds affected by flood depth, multi-point UAV sorties, payload-dependent energy consumption, and vehicle\u2013UAV spatiotemporal synchronization. To balance solution quality and scalability, a dual-track solution framework is developed: exact optimization is used for small instances, while a adaptive large neighborhood search algorithm with embedded dynamic programming is designed for larger instances.\n\n<\/div><\/blockquote>\nPour en savoir plus :<a href=\"https:\/\/www.mdpi.com\/2504-446X\/10\/5\/322\" target=\"_blank\" rel=\"noopener\">Path Optimization for Multi-Vehicle and Multi-UAV Collaborative Delivery in Flood Rescue Under Road Disruptions: A Case Study of the 2024 Guangdong Flood Disaster<\/a>","protected":false},"excerpt":{"rendered":"<p>Flood disasters often disrupt road networks and severely reduce ground accessibility, hindering the timely delivery of emergency supplies. To address this challenge, this study investigates a collaborative routing problem involving multiple vehicles and multiple UAVs under road disruptions and formulates a mixed-integer linear programming model that jointly minimizes mission makespan and priority-weighted response time for [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":55241,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[34,16],"tags":[35,44,33],"class_list":["post-57696","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-innovation-et-technologique","category-rti","tag-actualites","tag-developpement-des-systemes-intelligents","tag-drones"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Path Optimization for Multi-Vehicle and Multi-UAV Collaborative Delivery in Flood Rescue Under Road Disruptions: A Case Study of the 2024 Guangdong Flood Disaster - NAE<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.nae.fr\/en\/2026\/05\/04\/path-optimization-for-multi-vehicle-and-multi-uav-collaborative-delivery-in-flood-rescue-under-road-disruptions-a-case-study-of-the-2024-guangdong-flood-disaster\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Path Optimization for Multi-Vehicle and Multi-UAV Collaborative Delivery in Flood Rescue Under Road Disruptions: A Case Study of the 2024 Guangdong Flood Disaster - NAE\" \/>\n<meta property=\"og:description\" content=\"Flood disasters often disrupt road networks and severely reduce ground accessibility, hindering the timely delivery of emergency supplies. To address this challenge, this study investigates a collaborative routing problem involving multiple vehicles and multiple UAVs under road disruptions and formulates a mixed-integer linear programming model that jointly minimizes mission makespan and priority-weighted response time for [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.nae.fr\/en\/2026\/05\/04\/path-optimization-for-multi-vehicle-and-multi-uav-collaborative-delivery-in-flood-rescue-under-road-disruptions-a-case-study-of-the-2024-guangdong-flood-disaster\/\" \/>\n<meta property=\"og:site_name\" content=\"NAE\" \/>\n<meta property=\"article:published_time\" content=\"2026-05-04T07:26:44+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.nae.fr\/wp-content\/uploads\/2026\/06\/logo-mdpi.png\" \/>\n\t<meta property=\"og:image:width\" content=\"276\" \/>\n\t<meta property=\"og:image:height\" content=\"182\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"adminwa\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"adminwa\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.nae.fr\\\/2026\\\/05\\\/04\\\/path-optimization-for-multi-vehicle-and-multi-uav-collaborative-delivery-in-flood-rescue-under-road-disruptions-a-case-study-of-the-2024-guangdong-flood-disaster\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.nae.fr\\\/2026\\\/05\\\/04\\\/path-optimization-for-multi-vehicle-and-multi-uav-collaborative-delivery-in-flood-rescue-under-road-disruptions-a-case-study-of-the-2024-guangdong-flood-disaster\\\/\"},\"author\":{\"name\":\"adminwa\",\"@id\":\"https:\\\/\\\/www.nae.fr\\\/#\\\/schema\\\/person\\\/3d658e930f01449b7195ce4a78fcfc1e\"},\"headline\":\"Path Optimization for Multi-Vehicle and Multi-UAV Collaborative Delivery in Flood Rescue Under Road Disruptions: A Case Study of the 2024 Guangdong Flood Disaster\",\"datePublished\":\"2026-05-04T07:26:44+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.nae.fr\\\/2026\\\/05\\\/04\\\/path-optimization-for-multi-vehicle-and-multi-uav-collaborative-delivery-in-flood-rescue-under-road-disruptions-a-case-study-of-the-2024-guangdong-flood-disaster\\\/\"},\"wordCount\":163,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/www.nae.fr\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/www.nae.fr\\\/2026\\\/05\\\/04\\\/path-optimization-for-multi-vehicle-and-multi-uav-collaborative-delivery-in-flood-rescue-under-road-disruptions-a-case-study-of-the-2024-guangdong-flood-disaster\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.nae.fr\\\/wp-content\\\/uploads\\\/2026\\\/06\\\/logo-mdpi.png\",\"keywords\":[\"Actualit\u00e9s\",\"D\u00e9veloppement des syst\u00e8mes intelligents\",\"Drones\"],\"articleSection\":[\"Innovation et technologique\",\"RTI\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/www.nae.fr\\\/2026\\\/05\\\/04\\\/path-optimization-for-multi-vehicle-and-multi-uav-collaborative-delivery-in-flood-rescue-under-road-disruptions-a-case-study-of-the-2024-guangdong-flood-disaster\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.nae.fr\\\/2026\\\/05\\\/04\\\/path-optimization-for-multi-vehicle-and-multi-uav-collaborative-delivery-in-flood-rescue-under-road-disruptions-a-case-study-of-the-2024-guangdong-flood-disaster\\\/\",\"url\":\"https:\\\/\\\/www.nae.fr\\\/2026\\\/05\\\/04\\\/path-optimization-for-multi-vehicle-and-multi-uav-collaborative-delivery-in-flood-rescue-under-road-disruptions-a-case-study-of-the-2024-guangdong-flood-disaster\\\/\",\"name\":\"Path Optimization for Multi-Vehicle and Multi-UAV Collaborative Delivery in Flood Rescue Under Road Disruptions: A Case Study of the 2024 Guangdong Flood Disaster - 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