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A practical delivery route planning system

  • Asger Gitz-Johansen
  • , Mikkel Elkjaer Holm
  • , Laurids Vinther Kirkeby
  • , Dan Kristiansen
  • , Alexander Stoica Ostenfeld
  • , Morten Konggaard Schou
  • , Bin Yang
  • Aalborg University

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

Abstract

Thanks to recent e-commerce growth, the parcel delivery industry is booming. We demonstrate a system that provides a practical solution for scheduling and planning parcel delivery routes. Given a parcel delivery workload, e.g., the number of parcels to be delivered and the sizes of the parcels, the system tries to identify a set of delivery routes such that the workload is satisfied and the total delivery cost is minimized. The system is developed on top of aSTEP, a spatio-Temporal data analytics platform developed at Aalborg University, and is tested with parcel delivery workloads provided by a large logistic company in Denmark.

Original languageEnglish
Title of host publicationProceedings - 2019 20th International Conference on Mobile Data Management, MDM 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages349-350
Number of pages2
ISBN (Electronic)9781728133638
DOIs
StatePublished - Jun 2019
Externally publishedYes
Event20th IEEE International Conference on Mobile Data Management, MDM 2019 - Hong Kong, Hong Kong
Duration: 10 Jun 201913 Jun 2019

Publication series

NameProceedings - IEEE International Conference on Mobile Data Management
Volume2019-June
ISSN (Electronic)2375-0324

Conference

Conference20th IEEE International Conference on Mobile Data Management, MDM 2019
Country/TerritoryHong Kong
CityHong Kong
Period10/06/1913/06/19

Keywords

  • Logistics
  • Routing
  • Spatio temporal data analytics

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