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Rollover crashes continue to be a serious and growing vehicle safety problem. Rollovers account for about 9% of passenger car crashes, and 26% of light truck crashes. Belt use in rollover crashes is about 51%, compared with 62% in planar crashes. Overall, 26.4% of the serious and fatal injuries to occupants exposed to crashes are in rollovers. Among this injured population 74.4% are unbelted. In light trucks, rollovers account for 47.4% of the serious or fatal injuries. Unbelted occupants suffer about 87% of the serious injuries and fatalities in light truck rollovers. The use of safety belts offers a dramatic reduction in injury rates for rollover crashes. For belted occupants of pickup trucks and utility vehicles in rollover crashes, the injury rates are about the same as for belted occupants of passenger cars in planar crashes. Improvementsts in safety belts offer large opportunities in safety.

This work addresses and evaluates the likelihood of human casualty in highway crashes, projected on the basis of field crash data that may become available electronically by sensors at crash time, and/or observed at the crash scene by emergency attendants. Termed collectively as a “crash signature”, such data are treated as predictors and are selected from: crash severity, general area of damage, direction of force, occurrence of rollover, intrusion, vehicle crush and its specific horizontal location, collision partner, vehicle class and size, occupant age, gender, restraint use and type, seating position, and other. Crash signatures are converted into responses such as: (a) the likelihood of the most severe outcome, fatality or survived injury, by severity AIS per occupant; and (b) the same per vehicle. Cars are the vehicles selected for this investigation.

This paper addresses the risks of occupant casualties in highway accidents. Such risks are determined from U.S. accident experience in the past 10 years. Risks are analyzed as a function of vehicle type, car market class, make, nameplate, and model year for crashes of various impact types and various severities. Both absolute risks, per unit exposure, and relative risks are addressed. The influence of many exposure variables is examined and necessary adjustments, to a common set of exposure conditions, are made. The control variables for this purpose are: calendar year and car age; occupant's seating position, restraint status, and age; time and place of travel; and various roadway characteristics. Adjusted risks are reviewed versus major characteristics of cars as implied by make, nameplate, and model year. Occupant ejections and rollovers receive special attention due to their risk sensitivity to car class