An agent-based simulation model for autonomous trailer docking

Berry  Gerrits; Martijn Mes; Peter Cornelis Schuur

doi:10.1109/WSC.2017.8247877

An agent-based simulation model for autonomous trailer docking

Berry Gerrits, Martijn Mes, Peter Cornelis Schuur

Industrial Engineering & Business Information Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

6 Citations (Scopus)

20 Downloads (Pure)

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 conflict 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 set up in a similar way as the MAS. We conclude with the verification and validation of the simulation model.

Original language	English
Title of host publication	2017 Winter Simulation Conference (WSC)
Publisher	IEEE
Pages	1324-1335
Number of pages	12
ISBN (Electronic)	978-1-5386-3428-8
ISBN (Print)	978-1-5386-3430-1
DOIs	https://doi.org/10.1109/WSC.2017.8247877
Publication status	Published - 8 Jan 2018
Event	2017 Winter Simulation Conference - Las Vegas, United States Duration: 3 Dec 2017 → 6 Dec 2017

Conference

Conference	2017 Winter Simulation Conference
Abbreviated title	WSC 2017
Country/Territory	United States
City	Las Vegas
Period	3/12/17 → 6/12/17

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10.1109/WSC.2017.8247877

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@inproceedings{9bde04eec28544f6a4179a16b83bb076,

title = "An agent-based simulation model for autonomous trailer docking",

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 conflict 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 set up in a similar way as the MAS. We conclude with the verification and validation of the simulation model.",

author = "Berry Gerrits and Martijn Mes and Schuur, {Peter Cornelis}",

note = "Funding Information: This research is supported by the Dutch organization for scientific research (NWO) through the RAAK-PRO project: “Intelligent Truck Applications in Logistics” (INTRALOG). Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 Winter Simulation Conference, WSC 2017 ; Conference date: 03-12-2017 Through 06-12-2017",

year = "2018",

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doi = "10.1109/WSC.2017.8247877",

language = "English",

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T1 - An agent-based simulation model for autonomous trailer docking

AU - Gerrits, Berry

AU - Mes, Martijn

AU - Schuur, Peter Cornelis

N1 - Funding Information: This research is supported by the Dutch organization for scientific research (NWO) through the RAAK-PRO project: “Intelligent Truck Applications in Logistics” (INTRALOG). Publisher Copyright: © 2017 IEEE.

PY - 2018/1/8

Y1 - 2018/1/8

N2 - 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 conflict 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 set up in a similar way as the MAS. We conclude with the verification and validation of the simulation model.

AB - 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 conflict 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 set up in a similar way as the MAS. We conclude with the verification and validation of the simulation model.

U2 - 10.1109/WSC.2017.8247877

DO - 10.1109/WSC.2017.8247877

M3 - Conference contribution

SN - 978-1-5386-3430-1

SP - 1324

EP - 1335

BT - 2017 Winter Simulation Conference (WSC)

PB - IEEE

T2 - 2017 Winter Simulation Conference

Y2 - 3 December 2017 through 6 December 2017

ER -

An agent-based simulation model for autonomous trailer docking

Abstract

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