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Volumn 2476, Issue , 2015, Pages 85-93

Macroscopic models for accident prediction at railroad grade crossings: Comparisons with U.S. Department of Transportation accident prediction formula

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; LOCATION; RAILROAD ACCIDENTS; RAILROAD CROSSINGS;

EID: 84975868992     PISSN: 03611981     EISSN: 21694052     Source Type: Journal    
DOI: 10.3141/2476-12     Document Type: Article
Times cited : (9)

References (10)
  • 4
    • 64849103766 scopus 로고    scopus 로고
    • Kernel density estimation and k-means clustering to profile road accident hotspots
    • Anderson, T. K. Kernel Density Estimation and k-Means Clustering to Profile Road Accident Hotspots. Accident Analysis and Prevention, No. 41, 2009, pp. 359-364.
    • (2009) Accident Analysis and Prevention , Issue.41 , pp. 359-364
    • Anderson, T.K.1
  • 5
    • 31044448952 scopus 로고    scopus 로고
    • Bayesian methodology incorporating expert judgment for ranking countermeasure effectiveness under uncertainty: Example applied to at grade railroad crossings in korea
    • Washington, S., and J. Oh. Bayesian Methodology Incorporating Expert Judgment for Ranking Countermeasure Effectiveness Under Uncertainty: Example Applied to at Grade Railroad Crossings in Korea. Accident Analysis and Prevention, No. 38, 2006, pp. 234-247.
    • (2006) Accident Analysis and Prevention , Issue.38 , pp. 234-247
    • Washington, S.1    Oh, J.2
  • 6
    • 0009037718 scopus 로고
    • Grade crossing accidents and human factors engineering: How a discipline combining technology and behavioral science can help reduce traffic fatalities
    • Leibowitz, H. W. Grade Crossing Accidents and Human Factors Engineering: How a Discipline Combining Technology and Behavioral Science Can Help Reduce Traffic Fatalities. American Scientist, Vol. 73, No. 6, 1985, pp. 558-562.
    • (1985) American Scientist , vol.73 , Issue.6 , pp. 558-562
    • Leibowitz, H.W.1
  • 9
    • 85172841672 scopus 로고    scopus 로고
    • Accessed Jan. 2014
    • SAS 9.22 User's Guide. http://support.sas.com/documentation/cdl/en /statug/63347/HTML/default/viewer.htm#statug-genmod-sect048.htm. Accessed Jan. 2014.
    • SAS 9.22 User's Guide


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.