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Hisai Mamoru

Affiliate Master Yamaguchi University

Estimation and short-term prediction of link traffic volume based on data from vehicle detectors

Memoirs of the Faculty of Engineering, Yamaguchi University Volume 45 Issue 1 Page 75-82
published_at 1994-10
KJ00000156996.pdf
[fulltext] 496 KB
Title
感知器データに基づくリンク交通量の推定と短期予測
Estimation and short-term prediction of link traffic volume based on data from vehicle detectors
Creators Hisai Mamoru
Creators Wu Yi
Creators Sato Michio
Source Identifiers
This paper describes an application of time-series model and Kalman filter theory to estimation and short-term prediction of traffic volume on specified link in the road network. First, AR modle, ARMA model and ARIMA model are applied to the estimation of link traffic volume based on traffic data collected from vehicle detectors. Second, time-series models and Kalman filter theory are applied to the prediction of link traffic volume. Effectiveness is examined and compared by evaluation estimation errors and prediction errors.
Languages jpn
Resource Type departmental bulletin paper
Publishers 山口大学工学部
Date Issued 1994-10
File Version Version of Record
Access Rights open access
Relations
[ISSN]0372-7661
[NCID]AN00244228
Schools 工学部