An agent-based simulation model for truck platoon matching

Berry Gerrits*

*Corresponding author for this work

Research output: Contribution to journalConference articleAcademicpeer-review

10 Citations (Scopus)
173 Downloads (Pure)


This paper presents a flexible agent-based simulation (ABS) model to serve as a matchmaking system for trucks such that they can form a platoon. A platoon is a formation of trucks which drive closely behind each other in a (semi)autonomous fashion. We focus on an agent-based system which seeks platoon candidates in the proximity of a truck and tries to find a match based on several properties of the trucks. The ABS does so in a dynamic fashion based on real-time (geo)data. Opposed to centralized systems, the matchmaking is done locally among trucks(agents). Due to the spontaneous nature of this matching type, we denote this type of platoon matching as real-time matching. We illustrate the ABS using a case study at a truck stop near the Port of Rotterdam, The Netherlands. The ABS model serves as a testbed for matching algorithms and to study enabling factors for truck platooning.

Original languageEnglish
Pages (from-to)751-756
Number of pages6
JournalProcedia computer science
Publication statusPublished - 1 Jan 2019
Event10th International Conference on Ambient Systems, Networks and Technologies, ANT 2019 - Leuven, Belgium
Duration: 29 Apr 20192 May 2019
Conference number: 10


  • Agent-based
  • Matchmaking
  • Micro simulation
  • Truck platooning


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