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Volumn , Issue 2237, 2011, Pages 60-66

Estimation of real-time crash risk: Are all freeways created equal?

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); RISK PERCEPTION; TRAFFIC CONTROL;

EID: 84856645139     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2237-07     Document Type: Article
Times cited : (61)

References (11)
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  • 2
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    • Comprehensive analysis of the relationship between real-time traffic surveillance data and rear-end crashes on freeways
    • Safety Data, Analysis, and Evaluation
    • Pande, A., and M. Abdel-Aty. Comprehensive Analysis of Relationship Between Real-Time Traffic Surveillance Data and Rear-End Crashes on Freeways. In Transportation Research Record: Journal of the Transportation Research Board, No. 1953, Transportation Research Board of the National Academies, Washington, D.C., 2006, pp. 31-40. (Pubitemid 44877602)
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    • Pande, A.1    Abdel-Aty, M.2
  • 3
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    • Assessing safety on dutch freeways with data from infrastructure-based intelligent transportation systems
    • Transportation Research Board of the National Academies, Washington, D.C.
    • Abdel-Aty, M. A., A. Pande, A. Das, and W. J. Knibbe. Assessing Safety on Dutch Freeways with Data from Infrastructure-Based Intelligent Transportation Systems. In Transportation Research Record: Journal of the Transportation Research Board, No. 2083, Transportation Research Board of the National Academies, Washington, D.C., 2008, pp. 153-161.
    • (2008) Transportation Research Record: Journal of the Transportation Research Board, No. 2083 , pp. 153-161
    • Abdel-Aty, M.A.1    Pande, A.2    Das, A.3    Knibbe, W.J.4
  • 5
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    • Assessment of freeway traffic parameters leading to lane-change related collisions
    • DOI 10.1016/j.aap.2006.03.004, PII S0001457506000455
    • Pande, A., and M. A. Abdel-Aty. Assessment of Freeway Traffic Parameters Leading to Lane-Change Related Collisions. Accident Analysis and Prevention, Vol. 38, No. 5, 2006, pp. 936-948. (Pubitemid 44015630)
    • (2006) Accident Analysis and Prevention , vol.38 , Issue.5 , pp. 936-948
    • Pande, A.1    Abdel-Aty, M.2
  • 6
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    • Classification and regression by random forest
    • Liaw, A., and M. Wiener. Classification and Regression by Random Forest. R News: Newsletter of the R Project, Vol. 2, No. 3, 2002, pp. 18-22. http://cran.r-project.org/doc/RNews/RNews-2002-3.pdf.
    • (2002) R News: Newsletter of the R Project , vol.2 , Issue.3 , pp. 18-22
    • Liaw, A.1    Wiener, M.2
  • 7
    • 35748978234 scopus 로고    scopus 로고
    • Empirical characterization of random forest variable importance measures
    • Archer, K. J., and R. V. Kimes. Empirical Characterization of Random Forest Variable Importance Measures. Computational Statistics and Data Analysis, Vol. 52, No. 4, 2007, pp. 2249-2260.
    • (2007) Computational Statistics and Data Analysis , vol.52 , Issue.4 , pp. 2249-2260
    • Archer, K.J.1    Kimes, R.V.2
  • 8
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    • Learning internal representation by error propagation, parallel distributed
    • (D. E. Rumelhart and J. L. McClelland, eds.), MIT Press, Cambridge, Mass.
    • Rumelhart, D. E., G. Hinton, and R. Williams. Learning Internal Representation by Error Propagation, Parallel Distributed. In Explorations in the Microstructure of Cognition, Volume 1: Foundations (D. E. Rumelhart and J. L. McClelland, eds.), MIT Press, Cambridge, Mass., 1986, pp. 318-362.
    • (1986) Explorations in the Microstructure of Cognition, Volume 1: Foundations , pp. 318-362
    • Rumelhart, D.E.1    Hinton, G.2    Williams, R.3
  • 10
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    • Response models based on bagging neural networks
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.