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@article{166903,
        author = {ROSHINI S P and Dr.T.Thenmozhi},
        title = {A Survey on Route Planning Drone Based Delivery Systems },
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {2},
        pages = {2156-2160},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=166903},
        abstract = {The traffic conditions on our already excessively clogged urban streets are greatly worsened by the growing demand for urban delivery services. The lack of suitable parking spaces available for effective offloading operations exacerbates the issue even more. Consequently, there has been a sharp increase in interest in investigating environmentally friendly substitutes for conventional logistics based on trucks. Drone technology has the ability to greatly reduce the need for vehicles in metropolitan areas and enable broad home delivery services. The development of drone-based delivery systems that are inexpensive and quickly deployable has piqued the interest of both industry and academia. This work offers a thorough analysis of drone-based delivery systems as they are right now. It examines the most recent developments, approaches, and tools used, with a focus on job scheduling optimization and creating effective routes for drone delivery. It contributes a comprehensive classification based on essential system criteria, such as fleet composition, degree of device collaboration, and supporting infrastructure, and critically evaluates the benefits and drawbacks of current solutions.},
        keywords = {Drone delivery, drone route planning.},
        month = {July},
        }