Traffic Signal Control Considering Switching Timing via Distributed Model Predictive Control

S. Sasaki, T. Namerikawa

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In this paper, we aim to alleviate traffic congestion on each link online by traffic signal control for local road transport network to be controlled. We first propose a transportation model with time delay system considering the travel time of the vehicle and calculate the optimal signal phases with variable cycle length and offset using distributed model predictive control for that model to reduce congestion rate on local roads. We then explain algorithms for distributed control that each intersection solves the optimization problem in parallel sharing information only with adjacent intersection. Finally, the effectiveness of the proposed method is confirmed by numerical simulation.

本文言語English
ホスト出版物のタイトルICCAS 2019 - 2019 19th International Conference on Control, Automation and Systems, Proceedings
出版社IEEE Computer Society
ページ286-291
ページ数6
ISBN(電子版)9788993215182
DOI
出版ステータスPublished - 2019 10月
イベント19th International Conference on Control, Automation and Systems, ICCAS 2019 - Jeju, Korea, Republic of
継続期間: 2019 10月 152019 10月 18

出版物シリーズ

名前International Conference on Control, Automation and Systems
2019-October
ISSN(印刷版)1598-7833

Conference

Conference19th International Conference on Control, Automation and Systems, ICCAS 2019
国/地域Korea, Republic of
CityJeju
Period19/10/1519/10/18

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ サイエンスの応用
  • 制御およびシステム工学
  • 電子工学および電気工学

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