Traffic Signal Control Considering Switching Timing via Distributed Model Predictive Control

S. Sasaki, T. Namerikawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationICCAS 2019 - 2019 19th International Conference on Control, Automation and Systems, Proceedings
PublisherIEEE Computer Society
Pages286-291
Number of pages6
ISBN (Electronic)9788993215182
DOIs
Publication statusPublished - 2019 Oct
Event19th International Conference on Control, Automation and Systems, ICCAS 2019 - Jeju, Korea, Republic of
Duration: 2019 Oct 152019 Oct 18

Publication series

NameInternational Conference on Control, Automation and Systems
Volume2019-October
ISSN (Print)1598-7833

Conference

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

Keywords

  • Distributed Model Predictive Control
  • Intelligent Transport Systems
  • Traffic Signal Control

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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  • Cite this

    Sasaki, S., & Namerikawa, T. (2019). Traffic Signal Control Considering Switching Timing via Distributed Model Predictive Control. In ICCAS 2019 - 2019 19th International Conference on Control, Automation and Systems, Proceedings (pp. 286-291). [8971516] (International Conference on Control, Automation and Systems; Vol. 2019-October). IEEE Computer Society. https://doi.org/10.23919/ICCAS47443.2019.8971516