Cyber-physical Optimal Traffic Signal Control Based on a Macroscopic Traffic Model and Its Verification Using Microscopic Traffic Simulator

• DAN Hayato

  School of Engineering, Tokyo Institute of Technology

• OKAMOTO Ryota

  School of Engineering, Tokyo Institute of Technology

• HATANAKA Takeshi

  Graduate School of Engineering, Osaka University

• MUKAI Masakazu

  Faculty of Engineering, Kogakuin University

• IINO Yutaka

  ACROSS, Waseda University

Bibliographic Information

Other Title

• マクロ交通流モデルに基づくサイバーフィジカル最適信号機制御とミクロ交通シミュレータを用いた検証
• マクロ コウツウリュウ モデル ニ モトズク サイバーフィジカル サイテキ シンゴウキ セイギョ ト ミクロ コウツウ シミュレータ オ モチイタ ケンショウ

Abstract

This paper proposes a novel cyber-physical traffic signal control system that interconnects physical dynamics and an optimization algorithm in order to reduce the street congestion. We first present a macroscopic traffic flow model that describes time evolution of the vehicle numbers on each road. Using this model, we then formulate an optimization problem to optimize the steady states/inputs in the sense of minimizing the congestion. We then present a (distributed) solution to the problem based on so-called partial primal-dual gradient algorithm. The traffic flow model is then shown to be successfully embedded in the algorithm as a sub-process for optimization, and accordingly a novel cyber-physical system is obtained. We then rigorously prove asymptotic optimality for constant disturbances and input-output stability for time-varying ones. Finally, we demonstrate the present algorithm through simulation on a microscopic traffic simulator, UC-win/Road, capable of the real-time feedback. It is then confirmed that the value of objective function for the optimization problem is reduced by 50% as compared to a fixed-time signal control scheme.

Journal

• Transactions of the Society of Instrument and Control Engineers

  Transactions of the Society of Instrument and Control Engineers 56 (3), 106-115, 2020

  The Society of Instrument and Control Engineers

Keywords

• cyber-physical systems
• traffic signal optimization
• macroscopic traffic model
• microscopic traffic simulator

Details

• CRID: 1390002184883167872
• NII Article ID: 130007809732
• NII Book ID: AN00072392
• DOI: 10.9746/sicetr.56.106
• ISSN: 18838189
• ISSN: 04534654
• NDL BIB ID: 030326970
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I030326970
• Web Site: https://www.jstage.jst.go.jp/article/sicetr/56/3/56_106/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed