Parcel Delivery for Smart Cities: A Synchronization Approach for Combined Truck-Drone-Street Robot Deliveries

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)
94 Downloads (Pure)


The past decade saw many novel concepts for last-mile delivery. Particularly interesting is the concept in which trucks dispatch-from designated points-drones or robots that do the actual delivery. Generally, the role of the truck driver is underexposed. This paper proposes a last-mile delivery concept in which a truck carries a mixed fleet of drones and robots, and where the driver also has an active role in the delivery process. Our aim is to efficiently align the service time required by the truck driver with the back-and-forth delivery times of the drones and the robots. To this end, we design a street delivery model using continuous approximation. We evaluate our approach using a flexible and reusable simulation model to enable tactical decision-making for logistics service providers to determine which neighborhoods are suitable for drones, street robots, or combinations, in terms of makespan and energy consumption.

Original languageEnglish
Title of host publication2021 Winter Simulation Conference, WSC 2021
ISBN (Electronic)9781665433112
Publication statusPublished - 23 Feb 2022
EventWinter Simulation Conference, WSC 2021: Simulation for a Smart World: From Smart Devices to Smart Cities - Phoenix, United States
Duration: 12 Dec 202115 Dec 2021

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736


ConferenceWinter Simulation Conference, WSC 2021
Abbreviated titleWSC 2021
Country/TerritoryUnited States


  • 22/1 OA procedure


Dive into the research topics of 'Parcel Delivery for Smart Cities: A Synchronization Approach for Combined Truck-Drone-Street Robot Deliveries'. Together they form a unique fingerprint.

Cite this