Reducing port-related truck emissions: Coordinated truck appointments to reduce empty truck trips

Frederik Schulte*, Rosa G. González, Stefan Voß

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

35 Citations (Scopus)

Abstract

Port-related emissions are a growing problem for urban areas often located directly next to ports highly frequented by trucks and vessels. Empty truck trips are responsible for a significant share of these emissions. Truck appointment systems (TASs) allow scheduling of truck arrivals and enable collaboration among truckers. Though, TASs leveraging the potential to reduce avoidable emissions due to empty trips have hardly been studied. We aim to show how a TAS following this idea may be designed and evaluate the approach. We thus review requirements for a collaborative TAS and develop a discrete-event simulation model to assess coordinated truck appointments in a practical case of drayage. The results indicate that the approach effectively reduces port-related truck emissions, but might create congestion in the port. The considered case refers to drayage processes, but may also be transferred to the hinterland. The developed simulation model assumes a generic truck appointment process and may also serve to analyze diverse cases.

Original languageEnglish
Title of host publicationComputational Logistics - 6th International Conference, ICCL 2015, Proceedings
EditorsStefan Voß, Rudy R. Negenborn, Francesco Corman, Rudy R. Negenborn, Rudy R. Negenborn
PublisherSpringer
Pages495-509
Number of pages15
ISBN (Print)9783319242637
DOIs
Publication statusPublished - 1 Jan 2015
Externally publishedYes
Event6th International Conference on Computational Logistics, ICCL 2015 - Delft, Netherlands
Duration: 23 Sept 201525 Sept 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9335
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Computational Logistics, ICCL 2015
Country/TerritoryNetherlands
CityDelft
Period23/09/1525/09/15

Keywords

  • Empty repositioning
  • Empty trips
  • Port emissions
  • Simulation
  • Truck appointment system

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