Merging control for automated vehicles using decentralized model predictive control

Yasuhiro Hayashi, Toru Namerikawa

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

Ahstract-This paper deals with merging control of automated vehicles using distributed model predictive control. We consider a road model which has two main lanes. In the distributed control algorithm, vehicles repeat sharing the planned future trajectory with other vehicles traveling in the vicinity of each vehicle by using communication and replanning its own trajectory considering the future trajectory of other vehicles. Moreover, in order to further improve the stability of model predictive control, terminal constraints are set and feasible conditions for optimization problems under the terminal conditions are derived. At the last part of this paper, we confirm the effectiveness of proposed methods through simulations.

本文言語English
ホスト出版物のタイトルAIM 2018 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics
出版社Institute of Electrical and Electronics Engineers Inc.
ページ268-273
ページ数6
ISBN(印刷版)9781538618547
DOI
出版ステータスPublished - 2018 8月 30
イベント2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2018 - Auckland, New Zealand
継続期間: 2018 7月 92018 7月 12

出版物シリーズ

名前IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
2018-July

Other

Other2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2018
国/地域New Zealand
CityAuckland
Period18/7/918/7/12

ASJC Scopus subject areas

  • 電子工学および電気工学
  • 制御およびシステム工学
  • コンピュータ サイエンスの応用
  • ソフトウェア

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