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Volumn 41, Issue 1, 2008, Pages 104-109

A study on urban short-term traffic flow forecasting based on a nonlinear time series model

Author keywords

Congested traffic state; Forecasting; Free flow traffic state; SETAR model; Urban road short term traffic flow

Indexed keywords

FORECASTING; STREET TRAFFIC CONTROL; TRAFFIC CONGESTION;

EID: 39149131717     PISSN: 1000131X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (8)

References (12)
  • 1
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    • Modeling and forecasting vehicular traffic flow as a seasonal stochastic time series process
    • Charlottesville: Department of Civil Engineering, University of Virginia
    • William B M. Modeling and Forecasting Vehicular Traffic Flow as a Seasonal Stochastic Time Series Process [D]. Charlottesville: Department of Civil Engineering, University of Virginia, 1999
    • (1999)
    • William, B.M.1
  • 2
    • 0344944192 scopus 로고    scopus 로고
    • Modeling and forecasting vehicular traffic flow as a seasonal ARIMA process: Theoretical basis and empirical results
    • Williams B M, Hoel L A. Modeling and forecasting vehicular traffic flow as a seasonal ARIMA process: Theoretical basis and empirical results [J]. Journal of Transportation Engineering, ASCE, 2003, 129 (6): 664-672
    • (2003) Journal of Transportation Engineering, ASCE , vol.129 , Issue.6 , pp. 664-672
    • Williams, B.M.1    Hoel, L.A.2
  • 3
    • 2142812984 scopus 로고    scopus 로고
    • Forecasting traffic flow conditions in an urban network: Comparison of multivariate and univariate approaches
    • Kamarianakis Y, Prastacos P. Forecasting traffic flow conditions in an urban network: Comparison of multivariate and univariate approaches [J]. Transportation Research Record, TRB, 2003, 1857: 74-84
    • (2003) Transportation Research Record, TRB , vol.1857 , pp. 74-84
    • Kamarianakis, Y.1    Prastacos, P.2
  • 5
    • 33750338259 scopus 로고    scopus 로고
    • Statistical methods for detecting nonlinearity and non-stationarity in univariate short-term time-series of traffic volume
    • Vlahogianni E I, Karlaftis M G, Golias J C. Statistical methods for detecting nonlinearity and non-stationarity in univariate short-term time-series of traffic volume [J]. Transportation Research Part C: Emerging technologies, 2006, 14: 351-367
    • (2006) Transportation Research Part C: Emerging technologies , vol.14 , pp. 351-367
    • Vlahogianni, E.I.1    Karlaftis, M.G.2    Golias, J.C.3
  • 6
    • 0031093652 scopus 로고    scopus 로고
    • Recent advances and applications in the field of short-term traffic forecasting
    • Van Arem B, Kirby H R, Van Der Vlist M J M, et al. Recent advances and applications in the field of short-term traffic forecasting [J]. International Journal of Forecasting, 1997, 13 (1): 1-12
    • (1997) International Journal of Forecasting , vol.13 , Issue.1 , pp. 1-12
    • van Arem, B.1    Kirby, H.R.2    van der Vlist, M.J.M.3
  • 7
    • 39149127807 scopus 로고    scopus 로고
    • Short-term traffic forecasting using the local linear regression model
    • Center for Traffic Simulation Studies: Paper UCI-ITS-WP-02-5. Irvine: University of California
    • Sun H, Liu H, Xiao H, et al. Short-term traffic forecasting using the local linear regression model [R] //Center for Traffic Simulation Studies: Paper UCI-ITS-WP-02-5. Irvine: University of California, 2002
    • (2002)
    • Sun, H.1    Liu, H.2    Xiao, H.3
  • 8
    • 0018067185 scopus 로고
    • Chen C., Pattern Recognition and Signal Processing. Amsterdam: Sijthoff and Noordhoff
    • Tong H. On a threshold model [M] //Chen Chihau. Pattern Recognition and Signal Processing. Amsterdam: Sijthoff and Noordhoff, 1978
    • (1978) On A Threshold Model
    • Tong, H.1
  • 9
    • 39149134164 scopus 로고    scopus 로고
    • Urban traffic congestion: Its economic and social causes and consequences
    • Thomson I, Bull A. Urban traffic congestion: Its economic and social causes and consequences [J]. CEPAL Review, 2002, 76: 105-116
    • (2002) CEPAL Review , vol.76 , pp. 105-116
    • Thomson, I.1    Bull, A.2
  • 10
    • 0001028687 scopus 로고    scopus 로고
    • Sample splitting and threshold estimation
    • Bruce E. Hansen. Sample splitting and threshold estimation [J]. Econometrica, 2000, 68 (3): 575-603
    • (2000) Econometrica , vol.68 , Issue.3 , pp. 575-603
    • Hansen, B.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.