TAPAS: A multi-agent-based model for simulation of transport chains

Document type: Journal Articles
Article type: Original article
Peer reviewed: Yes
Full text:
Author(s): Johan Holmgren, Paul Davidsson, Jan A. Persson, Linda Ramstedt
Title: TAPAS: A multi-agent-based model for simulation of transport chains
Journal: Simulation Modelling Practice and Theory
Year: 2012
Volume: 23
Pagination: 1-18
ISSN: 1569-190X
Publisher: Elsevier
URI/DOI: 10.1016/j.simpat.2011.12.011
ISI number: 000301814200001
Organization: Blekinge Institute of Technology
Department: School of Computing (Sektionen för datavetenskap och kommunikation)
School of Computing S-371 79 Karlskrona
+46 455 38 50 00
http://www.bth.se/com
Authors e-mail: johan.holmgren@bth.se, linda.ramstedt@vectura.se, paul.davidsson@bth, jan.persson@bth.se
Language: English
Abstract: We present the Transportation And Production Agent-based Simulator (TAPAS), which is an agent-based model for simulation of transport chains that can be used, e.g., for analysis of transport-related policy and infrastructure measures. TAPAS is more powerful than traditional approaches to freight transport analysis, as it explicitly models production and customer demand, and it captures the interaction between individual transport chain actors, their heterogeneity and decision making processes, as well as time aspects. Whereas traditional approaches rely on assumed statistical correlation, TAPAS relies on causality, i.e., the focus is on the decisions and negotiations that lead to activities. TAPAS is composed of two connected layers, one that simulates the physical activities, e.g., production and transportation, and one that simulates the decision making and interaction between actors. We illustrate TAPAS with a scenario in which the consequences of three transport policy and infrastructure measures are studied.
Subject: Computer Science\General
Computer Science\Artificial Intelligence
Computer Science\Distributed Computing
Keywords: Multi-agent-based simulation, Multi-agent systems, Transport chain simulation, Freight transportation, Decision-making
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