Journal of Algorithms and Computation
Open Access

Review of path planning models, environmental constraints, and application domains in drone delivery systems

Document Type : Review Article

Authors

Azita Taheri
Amin Ghodousian
Rooholah Abedian

School of Engineering Science, College of Engineering, University of Tehran, Tehran, Iran

https://doi.org/10.22059/jac.2024.376269.1214
Abstract
This review paper comprehensively examines drone delivery systems, focusing on path planning models, environmental constraints, and application domains. We analyze theoretical frameworks for path planning, including deterministic and heuristic approaches, as well as recent advancements in metaheuristics and hybrid optimization techniques. The paper evaluates how environmental factors, including dynamic obstacles, no-fly zones, and wind conditions, impact drone performance and feasibility. We explore various applications of drone delivery, from last-mile logistics to emergency response, highlighting key challenges and future research directions in this rapidly evolving field. By synthesizing current research and identifying gaps in knowledge, we provide a comprehensive overview to guide future developments in drone delivery systems, with a particular emphasis on recent innovations in multi-objective optimization and adaptive algorithms.

Keywords

drone delivery
optimization algorithms
path planning models
unmanned aerial vehicles (UAVs)
delivery systems
Journal of Algorithms and Computation
Volume 56, Issue 1
August 2024
Pages 15-33

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