Efficiency of UAV-based last-mile delivery under congestion in low-altitude air

Ruifeng She, Yanfeng Ouyang

Research output: Contribution to journalArticlepeer-review

Abstract

Emerging unmanned aerial vehicle (UAV) technologies have motivated logistics carriers to seek last-mile parcel delivery through the air so as to benefit from its convenience and flexibility. However, UAV-based delivery services are limited by several binding factors, such as low battery capacities and short delivery range, which in turn require simultaneous use of a large fleet for commercial scale operations. In such cases, congestion in low-altitude air will inevitably arise. This paper investigates self-organized UAV traffic flow in low altitude 3D airspace, and formulates the user equilibrium condition as a set of partial differential equations. We propose a finite element scheme to numerically solve the traffic equilibrium and compute system performance. Two specific test scenarios for last-mile freight delivery systems are studied, including one with a conventional ground-based distribution facility, and the other with a novel concept of airborne fulfillment center. We evaluate the operational cost and energy consumption of these systems under a variety of system configurations. The results provide insights that could be useful for logistic carriers and policy makers to achieve efficiency and sustainability for last-mile delivery.

Original languageEnglish (US)
Article number102878
JournalTransportation Research Part C: Emerging Technologies
Volume122
DOIs
StatePublished - Jan 2021

Keywords

  • Congestion
  • Continuous equilibrium
  • Energy
  • UAV

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Automotive Engineering
  • Transportation
  • Computer Science Applications

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