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Volumn 2, Issue , 2004, Pages

Switching ARIMA model based forecasting for traffic flow

Author keywords

[No Author keywords available]

Indexed keywords

ARIMA METHODS; DYNAMIC LINEAR MODELS; INTELLIGENT TRAFFIC SYSTEMS (ITS); SIGMOID FUNCTIONS; UTC/SCOOT SYSTEMS;

EID: 4644332400     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (75)

References (9)
  • 5
    • 0021375695 scopus 로고
    • Dynamic prediction of traffic volume through kalman filtering theory
    • Okutani, I. And Y.I. Stephanides, Dynamic Prediction of Traffic Volume through Kalman Filtering Theory, Transportation Research Part B, Vol. 18B, N0. 1, 1-11 1984
    • (1984) Transportation Research Part B , vol.18 B , Issue.1 , pp. 1-11
    • Okutani, I.1    Stephanides, Y.I.2
  • 6
    • 0026128928 scopus 로고
    • Nonparametric regression and short-term freeway traffic forecasting
    • Davis, G.A. and Nihan, N.L, Nonparametric Regression and Short-term Freeway Traffic Forecasting. ASCE Journal of Transportation Engineering, Vol.177, No 2, 178-188. 1991
    • (1991) ASCE Journal of Transportation Engineering , vol.177 , Issue.2 , pp. 178-188
    • Davis, G.A.1    Nihan, N.L.2
  • 7
    • 0030298951 scopus 로고    scopus 로고
    • Combining Kohonen maps with ARIMA time series models to forecast traffic flow
    • Der Voor, M., Dougherty, M. and Watson, S., Combining Kohonen maps with ARIMA time series models to forecast traffic flow, Transportation Research - Part C, 4, No. 5, 307-318.
    • Transportation Research - Part C , vol.4 , Issue.5 , pp. 307-318
    • Der Voor, M.1    Dougherty, M.2    Watson, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.