Optimal traffic signal control for alleviation of congestion based on traffic density prediction by model predictive control

Hiroaki Nakanishi, Toru Namerikawa

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

The purpose of this paper is to propose an optimal traffic signal control in accordance with traffic density to change every moment in traffic network. We focus on calculating optimal signaling split based on traffic volume prediction by model predictive control. Therefore, we aim the achievement of alleviation of congestion in traffic network considering actual traffic situation. Finally the achievement of the purpose is evaluated by controlling of traffic signal in numerical simulations and the relationship between green time and traffic density is examined.

本文言語English
ホスト出版物のタイトル2016 55th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1273-1278
ページ数6
ISBN(電子版)9784907764500
DOI
出版ステータスPublished - 2016 11 18
イベント55th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2016 - Tsukuba, Japan
継続期間: 2016 9 202016 9 23

Other

Other55th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2016
CountryJapan
CityTsukuba
Period16/9/2016/9/23

ASJC Scopus subject areas

  • Control and Optimization
  • Instrumentation
  • Control and Systems Engineering

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