Advertisement

A Hybrid Micro-Simulator for Determining the Effects of Governmental Control Policies on Transport Chains

  • Markus Bergkvist
  • Paul Davidsson
  • Jan A. Persson
  • Linda Ramstedt
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3415)

Abstract

A simulation-based tool is described which will be used to investigate how the actors in a transport chain are expected to act when different types of governmental control policies are applied, such as, fuel taxes, road tolls, vehicle taxes and requirements on vehicles. The simulator is composed of two layers, one layer simulating the physical activities taking place in the transport chain, e.g., production, storage, and transports of goods, and another layer simulating the different actors’ decision making processes. The decision layer is implemented by a multi-agent system where each agent corresponds to a particular actor and models the way it acts in different situations. The simulator will be used for analyzing the costs and environmental effects, and will in this way provide guidance in decision making regarding control policies. In addition, it will be possible for companies to use the simulator in order to determine cost-effective strategies given different (future) scenarios.

Keywords

Transport Chain Control Policy Transport Carrier Production Planner Transport Operator 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    ASTRA – Assessment of Transport Strategies, Final Report, Deliverable to EUDGTREN, ASTRA Consortium, Karlsruhe, ASTRA (2000), Available at http://www.iww.uni-karlsruhe.de/ASTRA/ASTRA_Final_Report.pdf
  2. 2.
    Boerkamps, J., van Binsbergen, A.: GoodTrip – A New Approach for Modelling and Evaluation of Urban Goods Distribution. In: Urban Transport Conference, 2nd KFB Research Conference, Lund, Sweden, June 7-8 (1999)Google Scholar
  3. 3.
    Davidsson, P., Wernstedt, F.: A framework for evaluation of multi-agent system approaches to logistics network management. In: Multi-Agent Systems: An Application Science. Kluwer, Dordrecht (2004)Google Scholar
  4. 4.
    Downing, T.E., Moss, S., Pahl-Wostl, C.: Understanding Climate Policy Using Participatory Agent-Based Social Simulation. In: Moss, S., Davidsson, P. (eds.) MABS 2000. LNCS (LNAI), vol. 1979, pp. 198–213. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  5. 5.
    Hesselborn, P.-O., Swahn, H.: Ekonomiska styrmedel i transportpolitiken – Förslag till utveckling av den svenska modellen, SIKA Dokument 1998:1. Presented at the University of Aalborg at the conference “Trafikdage i Aalborg” (1998)Google Scholar
  6. 6.
    ME&P – WSP, DfT Integrated Transport and Economic Appraisal, Review of Freight Modelling (2002), http://www.dft.gov.uk/stellent/groups/dft_transstrat/documents/page/dft_transstrat_508058.pdf
  7. 7.
    Parunak, H.V.D., Savit, R., Riolo, R.L.: Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users’ Guide. In: Sichman, J.S., Conte, R., Gilbert, N. (eds.) Multi-Agent Systems and Agent-Based Simulation, pp. 10–26. Springer, Heidelberg (1998)CrossRefGoogle Scholar
  8. 8.
    Persson, J.A., Davidsson, P.: Integrated optimization and multi-agent technology for combined production and transportation planning. In: HICSS-38, Hawaii International Conference on Systems Science (2005)Google Scholar
  9. 9.
    Swahn, H.: The Swedish model systems for goods transport – SAMGODS. A brief introductory overview. SAMPLAN Report 2001:1, SIKA (2001)Google Scholar
  10. 10.
    Tavasszy, L.A., van de Vlist, M., Ruijgrok, M., van de Rest, J.: Scenario-wise analysis of transport and logistics systems with a SMILE. In: 8th World Conference on Transport Research, Antwerp, Belgium (1998)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Markus Bergkvist
    • 1
  • Paul Davidsson
    • 1
  • Jan A. Persson
    • 2
  • Linda Ramstedt
    • 2
  1. 1.Department Systems and Software EngineeringBlekinge Institute of TechnologyRonnebySweden
  2. 2.Department Systems and Software EngineeringBlekinge Institute of TechnologyKarlshamnSweden

Personalised recommendations