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Volumn , Issue , 2013, Pages 493-498

Short-term traffic volume prediction using classification and regression trees

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION AND REGRESSION TREE; INTELLIGENT TRANSPORTATION SYSTEMS; LINEAR REGRESSION MODELS; MEAN ABSOLUTE PERCENTAGE ERROR; NON-PARAMETRIC MODEL; NONPARAMETRIC METHODS; SHORT-TERM TRAFFIC FLOW; SHORT-TERM TRAFFIC VOLUME;

EID: 84892384652     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2013.6629516     Document Type: Conference Paper
Times cited : (39)

References (17)
  • 1
    • 4444369422 scopus 로고    scopus 로고
    • Short-term traffic forecasting: Overview of objectives and methods
    • E. I. Vlahogianni, J. C. Golias, and M. G. Karlaftis, "Short-term traffic forecasting: Overview of objectives and methods," Transport Reviews, vol. 24, no. 5, pp. 533-557, 2004.
    • (2004) Transport Reviews , vol.24 , Issue.5 , pp. 533-557
    • Vlahogianni, E.I.1    Golias, J.C.2    Karlaftis, M.G.3
  • 2
    • 0018729076 scopus 로고
    • Analysis of freeway traffic time-series data by using box-jenkins techniques
    • M. Ahmed and A. R. Cook, "Analysis of freeway traffic time-series data by using box-jenkins techniques," Transportation Research Board, vol. 722, pp. pp. 1-9, 1979.
    • (1979) Transportation Research Board , vol.722 , pp. 1-9
    • Ahmed, M.1    Cook, A.R.2
  • 4
    • 0021375695 scopus 로고
    • Dynamic prediction of traffic volume through kalman filtering theory
    • I. Okutani and Y. J. Stephanedes, "Dynamic prediction of traffic volume through kalman filtering theory," Transportation Research Part B: Methodological, vol. 18, no. 1, pp. 1-11, 1984.
    • (1984) Transportation Research Part B: Methodological , vol.18 , Issue.1 , pp. 1-11
    • Okutani, I.1    Stephanedes, Y.J.2
  • 5
    • 0033226152 scopus 로고    scopus 로고
    • Application of subset autoregressive moving average model for shortterm freeway traffic volume forecast-ing
    • S. Lee and D. B. Fambro, "Application of subset autoregressive moving average model for shortterm freeway traffic volume forecast-ing," Transportation Research Record: Journal of the Transportation Research Board, vol. 1678, pp. pp. 179-188, 1999.
    • (1999) Transportation Research Record: Journal of the Transportation Research Board , vol.1678 , pp. 179-188
    • Lee, S.1    Fambro, D.B.2
  • 8
    • 0026128928 scopus 로고
    • Nonparametric regression and short-term freeway traffic forecasting
    • G. A. Davis and N. L. Nihan, "Nonparametric regression and short-term freeway traffic forecasting," ASCE Journal of Transportation Engineering, vol. 17, no. 2, pp. 168-178, 1991.
    • (1991) ASCE Journal of Transportation Engineering , vol.17 , Issue.2 , pp. 168-178
    • Davis, G.A.1    Nihan, N.L.2
  • 9
    • 0031092866 scopus 로고    scopus 로고
    • Short-term inter-urban traffic forecasts using neural networks
    • M. S. Dougherty and M. R. Cobbett, "Short-term inter-urban traffic forecasts using neural networks," International Journal of Forecasting, vol. 13, no. 1, pp. 21-31, 1997.
    • (1997) International Journal of Forecasting , vol.13 , Issue.1 , pp. 21-31
    • Dougherty, M.S.1    Cobbett, M.R.2
  • 10
    • 45849138568 scopus 로고    scopus 로고
    • Adaptive hybrid fuzzy rule-based system approach for modeling and predicting urban traffic flow
    • L. Dimitriou, T. Tsekeris, and A. Stathopoulos, "Adaptive hybrid fuzzy rule-based system approach for modeling and predicting urban traffic flow," Transportation Research Part C: Emerging Technologies, vol. 16, no. 5, pp. 554-573, 2008.
    • (2008) Transportation Research Part C: Emerging Technologies , vol.16 , Issue.5 , pp. 554-573
    • Dimitriou, L.1    Tsekeris, T.2    Stathopoulos, A.3
  • 13
    • 79952736659 scopus 로고    scopus 로고
    • Real-time road traffic prediction with spatio-temporal correlations
    • W. Min and L. Wynter, "Real-time road traffic prediction with spatio-temporal correlations," Transportation Research Part C: Emerging Technologies, vol. 19, no. 4, pp. 606-616, 2011.
    • (2011) Transportation Research Part C: Emerging Technologies , vol.19 , Issue.4 , pp. 606-616
    • Min, W.1    Wynter, L.2
  • 14
    • 84863114589 scopus 로고    scopus 로고
    • Urban traffic flow prediction based on road network model
    • Sensing and Control, Beijing, China
    • Y. Xu, Q.-J. Kong, S. Lin, and Y. Liu, "Urban traffic flow prediction based on road network model," in Proc. 9th IEEE International Conference on Networking, Sensing and Control, Beijing, China, 2012, pp. 334-339.
    • (2012) Proc. 9th IEEE International Conference on Networking , pp. 334-339
    • Xu, Y.1    Kong, Q.-J.2    Lin, S.3    Liu, Y.4
  • 16
    • 84892418514 scopus 로고    scopus 로고
    • Portland State University/. Accessed May. 15, 2012) The portal fhwa traffic data set. Portland State University
    • (Portland State University. http: //portal.its.pdx.edu/. Accessed May. 15, 2012) The portal fhwa traffic data set. Portland State University.
  • 17
    • 33749517168 scopus 로고    scopus 로고
    • Another look at measures of forecast accuracy
    • R. J. Hyndman and A. B. Koehler, "Another look at measures of forecast accuracy," International Journal of Forecasting, vol. 22, no. 4, pp. 679-688, 2006.
    • (2006) International Journal of Forecasting , vol.22 , Issue.4 , pp. 679-688
    • Hyndman, R.J.1    Koehler, A.B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.