Proposing an Optimization Algorithm an‎d Implementing a Drone-based Goods Distribution System in Urban District

9/9/2026 12:00:00 AM

Abstract Introduction: The rapid growth of urbanization an‎d the rising deman‎d for fast delivery services have challenged traditional distribution systems, leading to traffic congestion, increased costs, an‎d environmental pollution. Problem definition: In this context, the use of drones as an innovative tool for optimizing the distribution process has been proposed; however, technical, environmental, an‎d regulatory limitations remain major obstacles to their practical deployment. Significance: Optimizing distribution with drones can not only reduce pressure on road transport networks but also play a vital role in enhancing service quality an‎d achieving smart cities. Research objective: This study aims to design an‎d develop a metaheuristic algorithm for optimizing drone flight paths in District 1 of Tehran Municipality. Methodology: Spatial data—including street networks, no-fly zones, distribution centers, an‎d order locations—were collected an‎d organized in a GIS environment. Three algorithms—Ant Colony Optimization (ACO), Genetic Algorithm (GA), an‎d Particle Swarm Optimization (PSO)—were implemented an‎d simulated in MATLAB. Findings: The results indicate that PSO outperforms the other two algorithms, reducing delivery time by an average of 35%, optimizing energy consumption by 28%, an‎d demonstrating higher statistical stability under varying conditions. These outcomes highlight the effectiveness of drones in improving the efficiency an‎d sustainability of urban distribution systems.

پهباد , توزيع كالا , سيستم اطلاعاات جغرافيايي , بهينه سازي مسير

drone , goods distribution , geographic information system , path optimization

erfan asadi

shahriar afandizadeh - mahmoud ahmadinejad