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Volumn 319, Issue , 2008, Pages 338-343

Traffic incident duration prediction based on the bayesian decision tree method

Author keywords

[No Author keywords available]

Indexed keywords

BASIC THEORY; BAYESIAN DECISION; BAYESIAN MODEL; DECISION MODELS; EXISTING METHOD; INCIDENT DATA; INCIDENT DURATION; INCIDENT MANAGEMENT; INCOMPLETE INFORMATION; PREDICTION MODEL; THEORETICAL PREDICTION; TRAFFIC INCIDENTS;

EID: 57649114838     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (8)
  • 1
    • 43249083206 scopus 로고    scopus 로고
    • Decision tree classification algorithm based on Bayesian method
    • Dec
    • Fan Jian-cong and Zhang Wen-jin. Decision tree classification algorithm based on Bayesian method. Computer Applications. Vol.25 No. 12 Dec.2005. pp 2882-2885.
    • (2005) Computer Applications , vol.25 , Issue.12 , pp. 2882-2885
    • Fan, J.-C.1    Zhang, W.-J.2
  • 2
    • 1842729655 scopus 로고    scopus 로고
    • Estimating Magnitude and Duration of Incident Delays
    • November/December
    • Garib, A., A. E. Radwan and H. Al-Deek. "Estimating Magnitude and Duration of Incident Delays." Journal of Transportation Engineering. Vol. 123, No. 6, November/December 1997. pp. 459-466.
    • (1997) Journal of Transportation Engineering , vol.123 , Issue.6 , pp. 459-466
    • Garib, A.1    Radwan, A.E.2    Al-Deek, H.3
  • 3
    • 0042637847 scopus 로고
    • A Simple Time Sequential Procedure for Predicting Freeway Incident Duration
    • Khattak, Asad J., Joseph L. Schofer and Mu-Ham Wang. "A Simple Time Sequential Procedure for Predicting Freeway Incident Duration." IVHS Journal. Vol. 2, No.2, 1995. pp 113-138.
    • (1995) IVHS Journal , vol.2 , Issue.2 , pp. 113-138
    • Khattak, A.J.1    Schofer, J.L.2    Wang, M.-H.3
  • 4
    • 57649140543 scopus 로고
    • Duration and travel time impacts of incidents- ADVANCE Project, Northwestern University, Evanston
    • Sethi, V., Koppelman, F. S., Flannery, C, P., Bhomderi, N., Schofer, L., 1994. Duration and travel time impacts of incidents- ADVANCE Project Technical Report, Northwestern University, Evanston.
    • (1994) Technical Report
    • Sethi, V.1    Koppelman, F.S.2    Flannery, C.P.3    Bhomderi, N.4    Schofer, L.5
  • 5
    • 84898352352 scopus 로고    scopus 로고
    • A Naïve Bayesian Classifier for Incident Duration Prediction
    • Stephen Boyles and David Fajardo. A Naïve Bayesian Classifier for Incident Duration Prediction. TRB 2007 Annual Meeting.
    • TRB 2007 Annual Meeting
    • Boyles, S.1    Fajardo, D.2
  • 6
    • 0001519535 scopus 로고    scopus 로고
    • New Model for Predicting Incidents and Incident Delay
    • July/August
    • Sullivan, E. C. "New Model for Predicting Incidents and Incident Delay." ASCE Journal of Transportation Engineering. Vol. 123, July/August 1997. pp 267-275.
    • (1997) ASCE Journal of Transportation Engineering , vol.123 , pp. 267-275
    • Sullivan, E.C.1
  • 8
    • 57649138672 scopus 로고    scopus 로고
    • Automated Estimation of Incident Duration on Dutch Highways
    • Willem Jan J. Knibbe and Tom P. Alkim. Automated Estimation of Incident Duration on Dutch Highways. IEEE 2006.
    • (2006) IEEE
    • Jan, W.1    Knibbe, J.2    Alkim, T.P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.