Drone Deliveries Optimization with Battery Energy Constraints

Drone deliveries have been tested by private companies around the world. With advanced safety and reliability features, such as automated flight and sense-and-avoid technology to prevent collisions, it appears that deliveries by drone will soon be practical. This paper deals with an automated drone delivery system, rather than cooperative delivery by drones and trucks. The study assumes that a drone can lift multiple packages within its maximum payload and serve recipients in a service area of given radius. Battery capacities, the primary energy sources for drone operation, are analyzed to relate parcel payloads and flight ranges. Numerical analysis is used to optimize the drone fleet size for a service area, by minimizing the total costs of the delivery system. Four variables are explored to show the sensitivity of system outputs to input parameters: working period, drone operating speed, demand density of service area, and battery capacity. Extended daily working periods are shown to benefit both service providers and users. Increased drone operating speed reduces the overall costs; however, it increases operating and investment costs for suppliers. The study indicates that drone deliveries are more economical in areas with high demand densities and quantifies how improvements in battery capacity can reduce the number of drones satisfying all demands in a service area.

• Supplemental Notes:
  • This paper was sponsored by TRB committee AV060 Standing Committee on Airfield and Airspace Capacity and Delay.
• Authors:
  • Choi, Youngmin
  • Schonfeld, Paul M
• Conference:
  • Transportation Research Board 97th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2018-1-7 to 2018-1-11
• Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Photos; References; Tables;
• Pagination: 15p

Subject/Index Terms

• TRT Terms: Delivery service; Drones; Electric batteries; Energy storage systems; Operating speed; Optimization
• Subject Areas: Aviation; Energy; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01658352
• Record Type: Publication
• Report/Paper Numbers: 18-02726
• Files: TRIS, TRB, ATRI
• Created Date: Jan 29 2018 10:25AM