Dates: 2023
Principal Investigator: Dr. Mahmoud Masoud
Funded by: SDAIA-KFUPM Joint Research Center for Artificial Intelligence

Description: The rapid development of drones has opened new possibilities, with delivery services standing out as one of the most promising applications. A key limitation, however, is their restricted operational range. This study introduces an AI-based model that leverages public transportation vehicles as carriers to extend drone range, integrating Hybrid Pointer Networks and Deep Reinforcement Learning to optimize routing while considering bus capacity and schedules. By managing the interactions between drones, buses, and delivery points, the model aims to minimize flying distance and improve efficiency. The research strongly aligns with Saudi Vision 2030 by promoting technological innovation, strengthening logistics and infrastructure, and creating opportunities for job growth and skill development in AI, machine learning, and robotics. It also supports sustainability through reduced fuel use and emissions and contributes to improved quality of life by enabling faster, more reliable delivery services.