Traffic signal control based on predicted distribution of traffic jam

Cui Cheng-You*, Shin Ji-Sun, Shoji Fumihiro, Lee Hee-Hyol

*この研究の対応する著者

研究成果: Conference contribution

抄録

In this paper, we propose a new method of a traffic signal control based on the predicted distribution of the traffic jam. First, we built a forecasting model to predict the probability distribution of vehicles for traffic jam during the each period of traffic signal. As the forecasting model, the Dynamic Bayesian Network is used and predicted the probability distribution of the amount of the standing vehicle in traffic jam. According to calculation by the Dynamic Bayesian network, the prediction of probability distribution of the amount of standing vehicles in each time will be obtained, and a control rule to adjust the split and the cycle of the signal to maintain the probability of a lower limit and a ceiling of the standing vehicles is deduced. Through the simulation using the actual traffic data of a city, the effectiveness of our method is shown.

本文言語English
ホスト出版物のタイトルProceedings of the 14th International Symposium on Artificial Life and Robotics, AROB 14th'09
ページ55-58
ページ数4
出版ステータスPublished - 2009
イベント14th International Symposium on Artificial Life and Robotics, AROB 14th'09 - Oita, Japan
継続期間: 2008 2 52009 2 7

出版物シリーズ

名前Proceedings of the 14th International Symposium on Artificial Life and Robotics, AROB 14th'09

Conference

Conference14th International Symposium on Artificial Life and Robotics, AROB 14th'09
国/地域Japan
CityOita
Period08/2/509/2/7

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ビジョンおよびパターン認識
  • 人間とコンピュータの相互作用

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