都市交通の数理最適化を用いたマルチエージェントシミュレーションモデル

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2016/02/01

タイトル(英語): Multi-agent Simulation Model of Urban Traffic Using Mathematical Optimization

著者名: 松本　卓也（神戸大学情報基盤センター），榊原　一紀（富山県立大学工学部情報システム工学科），玉置　久（神戸大学大学院システム情報学研究科）

著者名(英語): Takuya Matsumoto (Information Science and Technology Center, Kobe University), Kazutoshi Sakakibara (Department of Information Systems Engineering, Toyama Prefectural University), Hisashi Tamaki (Graduate School of System Informatics, Kobe University)

キーワード: マルチエージェントモデル，都市交通シミュレーション，最適化　　multi-agent model，urban traffic simulation，optimization

要約(英語): In this paper, a multi-agent simulation model of urban traffic behavior using mathematical optimization methods is constructed. Traveler agents decide their routes and means of mobility by optimizing their utility functions. There are too many selection candidates in their decisions to be calculated in practical time, thus modeling techniques which reduces calculation time as well as keeps accuracy is proposed. The decision making process of agents is divided into the common part and the individual part. Results of the former part are shared by multiple agents and the later part is constructed as parallelizable to calculate multiple agents simultaneouslly. Suitable value of the parameter which decide balance of accuracy and calculation load is estimated by computer experiments. Through some simulations, behavior and potential of the proposed model is demonstrated.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.136 No.2 （2016）

本誌掲載ページ: 165-172 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/136/2/136_165/_article/-char/ja/