Investigating the Movement of Goods by Automated Vehicles in Cities

In recent years, the use of unmanned aerial vehicles (UAVs) as a new solution for transporting goods in urban areas has attracted the attention of many researchers. With the growth of urbanization and the increasing demand for fast and timely delivery of goods, drones as a transformative technology can be a suitable alternative to traditional transportation methods. This study examines various aspects of moving goods by drones in cities and attempts to analyze the opportunities, challenges, and environmental and social impacts of this technology. The study area is located in the central urban district of Qazvin City, Iran. A Genetic Algorithm is employed to solve the optimization problem because of its excellent performance in solving NP-hard routing problems. In this study, first, a review of the history of drone technology and their applications in the transportation industry is conducted, and then the laws and regulations related to use of drones in urban environments are examined. In addition, technical aspects such as routing, energy consumption optimization, and the infrastructure required to implement this technology are discussed. The social and environmental impacts of using drones and barriers to their public acceptance are also examined. Finally, an economic analysis and evaluation of the costs and benefits of using drones compared to traditional transportation methods are presented, and suggestions are made for improving and developing this technology in the future. This research can serve as a basis for strategic decision-making in the field of smart transportation and reducing traffic and air pollution in cities.

کلیدواژه ها:

Drones ، goods movement ، Urban Transportation ، drone routing ، Laws and Regulations ، Social impacts