UAV Scheduling Strategies in Multi-modal Last-Mile Urban Parcel Delivery

Ang Li, Mark Hansen, Bo Zou

Research output: Unpublished conference presentation (presented paper, abstract, poster)Conference presentation (not published in journal/proceeding/book)Academic researchpeer-review

Abstract

— Urban parcel delivery has emerged as a high growth
market, and the resulting delivery traffic can pose great
challenges in dense urban areas. There is growing interest in
supplanting the conventional model of a dedicated delivery
person operating a van to alternatives featuring new classes of
vehicles such as drones, autonomous ground vehicles, cargo bikes
and non-motorized vehicles. This work proposes combined
delivery strategies using trucks, cargo bikes and drones. We
develop and compare multi-modal delivery strategies with
various mode combinations. We work on zone-based multi-modal
delivery strategies in multi-echelon networks. Then, we evaluate
the benefit of multi-modal delivery in both uncongested and
congested transportation networks. Results show that delivery
models with multiple vehicles modes in both single- and multiechelon networks are more efficient in terms of total delivery cost
than truck only scenario. The multi- modal delivery strategies in
two- echelon networks outperform other strategies in extremely
congested situations. We suggest taking advantage of synergistic
operation among emerging vehicle types, especially drones for
more efficient parcel delivery.
Original languageEnglish
Publication statusPublished - 2023
Event15th Air Traffic Management Research and Development Seminar - Savannah, Georgia, USA, Savannah, United States
Duration: 5 Jun 2023 → …

Conference

Conference15th Air Traffic Management Research and Development Seminar
Country/TerritoryUnited States
CitySavannah
Period5/06/23 → …

Keywords

  • Unmanned Aircraft Vehicles (UAVs)
  • Multi-modal delivery
  • multi-echelon network
  • Continuous Approximations (CAs)

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