Simulation of a multi-agent system for autonomous trailer docking

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Abstract

This paper presents a simulation model of a generic automated planning and control system for the pick-up and docking of semi-trailers by means of autonomous Yard Tractors (YTs) in a collision- and con flict free environment. To support the planning and control of the YTs, we propose a Multi-Agent System (MAS). We illustrate our approach using a case study at a Dutch logistics service provider. To evaluate the proposed system, we design an agent-based simulation model, which is setup in a similar way as the MAS. We conclude with the implementation and validation of the simulation model and present some results.
Original languageEnglish
PublisherBETA Research School for Operations Management and Logistics
Publication statusPublished - 2016

Publication series

NameBeta working paper series
PublisherBeta, Research School for Operations Management and Logistics
No.503

Fingerprint

Light trailers
Multi agent systems
Tractors (truck)
Truck trailers
Planning
Logistics
Control systems

Keywords

  • IR-103005
  • METIS-320857

Cite this

Gerrits, B., Mes, M. R. K., & Schuur, P. (2016). Simulation of a multi-agent system for autonomous trailer docking. (Beta working paper series; No. 503). BETA Research School for Operations Management and Logistics.
Gerrits, Berry ; Mes, Martijn R.K. ; Schuur, Peter. / Simulation of a multi-agent system for autonomous trailer docking. BETA Research School for Operations Management and Logistics, 2016. (Beta working paper series; 503).
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Gerrits, B, Mes, MRK & Schuur, P 2016, Simulation of a multi-agent system for autonomous trailer docking. Beta working paper series, no. 503, BETA Research School for Operations Management and Logistics.

Simulation of a multi-agent system for autonomous trailer docking. / Gerrits, Berry; Mes, Martijn R.K.; Schuur, Peter.

BETA Research School for Operations Management and Logistics, 2016. (Beta working paper series; No. 503).

Research output: Book/ReportReportProfessional

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Gerrits B, Mes MRK, Schuur P. Simulation of a multi-agent system for autonomous trailer docking. BETA Research School for Operations Management and Logistics, 2016. (Beta working paper series; 503).