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Volumn 36, Issue 3, 2008, Pages 319-324

Traffic incident duration prediction grounded on Bayesian decision method-based tree algorithm

Author keywords

Bayesian method; Decision tree; Incident duration; Prediction method; Traffic engineering; Traffic incident

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DECISION TREES; FORECASTING; TRAFFIC CONGESTION; TRAFFIC CONTROL;

EID: 43249091148     PISSN: 0253374X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (22)

References (6)
  • 2
    • 0023434259 scopus 로고
    • An analysis of the severity and incident duration of truck-involved freeway accidents
    • Golob T F, Recker W W, Leonard J D. An analysis of the severity and incident duration of truck-involved freeway accidents[J]. Accident Analysis and Prevention, 1987, 19(4): 375.
    • (1987) Accident Analysis and Prevention , vol.19 , Issue.4 , pp. 375
    • Golob, T.F.1    Recker, W.W.2    Leonard, J.D.3
  • 4
    • 43249083206 scopus 로고    scopus 로고
    • Decision tree classification algorithm based on Bayesian method
    • FAN Jiancong. Decision tree classification algorithm based on Bayesian method[J]. Journal of Computer Applications, 2005, 25(12): 2882.
    • (2005) Journal of Computer Applications , vol.25 , Issue.12 , pp. 2882
    • Fan, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.