title: Evaluating the rollover propensity of trucks--A roundabout example.
abstract: The rollover propensity of SUVs and trucks has long been recognized as a potential safety issue. The propensity may increase with the growing number of roundabouts that are being built on high-speed roadways designed for 50 mi/h or higher. This paper presents a research methodology developed to evaluate the rollover propensity of trucks on existing roundabouts and other roads with tight curves and high-speed traffic. The research objective was accomplished by developing an advanced 3D model of rollover that is applicable to field observations of the undisturbed behavior of multiple vehicles. This model was supplemented with a nonintrusive method of data collection based on recording video from a remote location and a novel method of extracting the data from the video material and processing it to generate the input required by the rollover model. The method is demonstrated in this paper on an example roundabout by evaluating the rollover propensity of semi-trailers in daytime and nighttime conditions. The results indicate that the drivers observed in nighttime conditions compensated well for the challenging conditions by driving more cautiously, which led to their rollover propensity at night being lower than during the day. The method was found useful for timely detection of the potential rollover problem without waiting for crashes.
authors.affiliation: Center for Road Safety, Lyles School of Civil Engineering, Purdue University, 3000 Kent Avenue, Suite C2-103, West Lafayette, IN 47906, United States. Electronic address: tarko@purdue.edu.
authors.forename: Andrew
authors.initials: A
authors.lastname: Tarko
authors.affiliation: Lyles School of Civil Engineering, Purdue University, 550 Stadium Mall Dr., West Lafayette, IN 47907, United States. Electronic address: hall198@purdue.edu.
authors.forename: Thomas
authors.initials: T
authors.lastname: Hall
authors.affiliation: Center for Road Safety, Lyles School of Civil Engineering, Purdue University, 3000 Kent Avenue, Suite C2-103, West Lafayette, IN 47906, United States. Electronic address: maromero@purdue.edu.
authors.forename: Mario
authors.initials: M
authors.lastname: Romero
authors.affiliation: Lyles School of Civil Engineering, Purdue University, 550 Stadium Mall Dr., West Lafayette, IN 47907, United States. Electronic address: clizaraz@purdue.edu.
authors.forename: Cristhian Guillermo Lizarazo
authors.initials: CG
authors.lastname: Jiménez
mesh_terms: D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D001334:Automobile Driving; D004779:Environment Design; D006801:Humans; D008029:Lighting; D018986:Motor Vehicles / Q000706:statistics & numerical data*; D012449:Safety
keywords: Critical rollover speed; High-speed roads; Lighting; Nighttime conditions; Rollover; Roundabout; Semi-trailer; Surrogate measure of safety; Truck