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Volumn 10, Issue , 2015, Pages 31-40

Traffic indicators, accidents and rain: Some relationships calibrated on a French urban motorway network

Author keywords

accident; logistic regression; rain; surrogate data; safety performance function; Traffic data; traffic indicators; urban motorway; risk

Indexed keywords


EID: 84959374586     PISSN: 23521457     EISSN: 23521465     Source Type: Conference Proceeding    
DOI: 10.1016/j.trpro.2015.09.053     Document Type: Conference Paper
Times cited : (13)

References (15)
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  • 3
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    • Calibrating a real-time traffic crash-prediction model using archived weather and ITS traffic data
    • Abdel-Aty, M.A., and Pemmanaboina, R. (2006). Calibrating a real-time traffic crash-prediction model using archived weather and ITS traffic data, IEEE Transactions on Intelligent Transportation Systems, 7(2), 167-174.
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    • Abdel-Aty, M.A.1    Pemmanaboina, R.2
  • 4
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    • Traffic Indicators and Accidents: The Case of a Motorway Network in the South of France, Transportation Research Board
    • Aron, M., Seidowsky, R., Ditchi, N. 2013. Traffic Indicators and Accidents: The Case of a Motorway Network in the South of France, Transportation Research Board, 92th Annual meeting, paper#13-4638 Washington D.C.
    • (2013) 92th Annual Meeting, paper#13-4638 Washington D.C
    • Aron, M.1    Seidowsky, R.2    Ditchi, N.3
  • 7
    • 84870298765 scopus 로고    scopus 로고
    • A re-parameterisation of the Power Model of the relationship between the speed of traffic and the number of accidents and accident victims
    • Elvik, R. 2013. A re-parameterisation of the Power Model of the relationship between the speed of traffic and the number of accidents and accident victims. Accident Analysis & Prevention, 50 854-860.
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    • Elvik, R.1
  • 12
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    • Traffic safety dimensions and the Power Model to describe the effect of speed on safety
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    • Nilsson, G., 2004. Traffic safety dimensions and the Power Model to describe the effect of speed on safety. Bulletin 221. Lund Institute of Technology, Department of Technology and Society, Traffic Engineering, Lund. http://lup.lub.lu.se/record/21612.
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    • Nilsson, G.1
  • 13
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    • Reducing treatment selection bias for estimating treatment effects using propensity score method
    • American Society of Civil Engineering, Manuscript No. TE/2005/023489, Feb
    • Park, P. Y-J, Saccomanno, F. 2007. "Reducing treatment selection bias for estimating treatment effects using propensity score method", Journal of Transportation Engineering. American Society of Civil Engineering, Manuscript No. TE/2005/023489, Feb.
    • (2007) Journal of Transportation Engineering
    • Park, P.Y.-J.1    Saccomanno, F.2
  • 15
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    • Model of Relationship between Interstate Crash Occurrence and geometrics: Exploratory insightsfrom a random parameters negative binomial approach
    • Venkataraman, N.S., Ulfarsson, G.F., Shankar, V., Oh, J., Park, M., 2011. Model of Relationship between Interstate Crash Occurrence and geometrics: Exploratory insightsfrom a random parameters negative binomial approach, Transportation Research Record No 2236, 41-48.
    • (2011) Transportation Research Record No 2236 , pp. 41-48
    • Venkataraman, N.S.1    Ulfarsson, G.F.2    Shankar, V.3    Oh, J.4    Park, M.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.