Multi-Agent Simulation for Promoting Clean Energy Vehicle with Economical Measure

• OKUSHIMA Masashi

  Institute of Science and Technology, Tokushima University

Bibliographic Information

Other Title

• クリーンエネルギー車両普及促進に関するマルチエージェントシミュレーション

Abstract

Multi-agent simulation approach is suitable to describe the heterogeneity on social interaction. The choice of clean energy vehicle corresponding to the promoting policy related to economic incentive or innovation of vehicle is estimated with the multi-agent simulation. The proposed multi-agent simulation system consists of the vehicle choice model and the social interaction model. The vehicle choice is affected by social conformity effect in the model. The relation between agents like a social network of the real world is generated with a simple algorithm by small world network model. The time series changes of the number of the clean energy vehicle and the volume of greenhouse gas emission are estimated by proposed multi-agent simulation.

Journal

• Journal of Japan Society for Fuzzy Theory and Intelligent Informatics

  Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 28 (5), 846-854, 2016

  Japan Society for Fuzzy Theory and Intelligent Informatics

Keywords

• multi-agent simulation
• social conformity
• small world network
• clean energy vehicle
• heterogeneity

Details

• CRID: 1390282680162816256
• NII Article ID: 130005282018
• NII Book ID: AA1181479X
• DOI: 10.3156/jsoft.28.846
• ISSN: 18817203
• ISSN: 13477986
• Web Site: http://repo.lib.tokushima-u.ac.jp/118583
• Web Site: https://www.jstage.jst.go.jp/article/jsoft/28/5/28_846/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • IRDB
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed