title: Correcting erroneous crash locations in transportation safety analysis.
abstract: Errors and inconsistencies in crash location records are realistic problems that often compromise accuracy of safety model outcomes. This paper proposes a new safety analysis framework where an optimal network design module that estimates the most-probable site for each crash is combined with the standard regression analysis. An effective solution algorithm based on Lagrangian relaxation is developed for the network design model, and an iterative computation approach is proposed for location estimation and statistical regression. The proposed models are implemented with empirical data and numerical results are presented.
authors.affiliation: Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
authors.forename: Robert
authors.initials: R
authors.lastname: Tegge
authors.forename: Yanfeng
authors.initials: Y
authors.lastname: Ouyang
mesh_terms: D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D000465:Algorithms; D006801:Humans; D015233:Models, Statistical; D012044:Regression Analysis; D018570:Risk Assessment; D012449:Safety / Q000706:statistics & numerical data*; D014481:United States / Q000453:epidemiology