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 |
