Document Type : Review Article

Authors

• Azita Taheri
• Amin Ghodousian
• Rooholah Abedian

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

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