卡车-无人机路由问题的数学模型：文献综述

IF 4.4 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Applied Mathematical Modelling Pub Date : 2025-03-09 DOI:10.1016/j.apm.2025.116074

He Luo , Jie Duan , Guoqiang Wang

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引用次数: 0

摘要

在该领域取得重大进展的推动下，综合了2015年至2024年关于卡车-无人机路线问题（TDRP）的大量文献。越来越多的研究表明，人们对TDRP在日常情景中的实际应用持续感兴趣。尽管理论与实践之间存在差距，但其快速发展凸显了其多学科的重要性。提出了一个全面的研究框架，重点关注问题参数、数学建模和有效方法。从建模角度对TDRP进行了系统的组织和分析，分为一车一无人机、一车多无人机、多车多无人机三种模式。在此基础上，探讨了TDRP的协调模式、优化目标、解决方案、实际应用、研究差距和环境效益，并确定了TDRP的主要成就、挑战和未来发展方向。

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Mathematical models for truck-drone routing problem: Literature review

The extensive literature on the truck-drone routing problem (TDRP) from 2015 to 2024 is synthesized, driven by significant advancements in the field. The increasing volume of research indicates a sustained interest in the practical applications of TDRP in everyday scenarios. Despite the gap between theory and practice, the rapid development highlights its multi-disciplinary importance. A comprehensive research framework is proposed, focusing on problem parameters, mathematical modeling, and effective approaches. TDRP is systematically organized and analyzed from a modeling perspective across three modes: one-truck and one-drone, one-truck and multi-drone, and multi-truck and multi-drone. The review then explores coordination modes, optimization objectives, solution approaches, practical applications, research gaps, and environmental benefits, while identifying key achievements, challenges, and future directions in TDRP.

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来源期刊

Applied Mathematical Modelling 数学-工程：综合

CiteScore

9.80

自引率

8.00%

发文量

508

审稿时长

43 days

期刊介绍： Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged. This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering. Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.