TY - GEN
T1 - Determination of minimum state preview time to prevent vehicle rollover
AU - Stankiewicz, Paul G.
AU - Brown, Alex A.
AU - Brennan, Sean N.
PY - 2013
Y1 - 2013
N2 - This research focuses on determining the minimum preview time needed to predict and prevent vehicle rollover. Statistics show that although rollover only occurs in 2.2% of total highway crashes, it accounts for 10.7% of total fatalities. There are several dynamic rollover metrics in use that measure a vehicle's rollover propensity under specified conditions. However, in order to prevent a rollover event from occurring, it is necessary to predict a vehicle's future rollover propensity. This research uses a novel vehicle rollover metric, called the zero-moment point (ZMP), to predict a vehicle's rollover propensity. Comparing different amounts of preview, the results show that short-range predictions - as little as 0.75 seconds ahead of the vehicle - are sufficient to prevent nearly all dynamics-induced rollovers in typical shoulders and medians.
AB - This research focuses on determining the minimum preview time needed to predict and prevent vehicle rollover. Statistics show that although rollover only occurs in 2.2% of total highway crashes, it accounts for 10.7% of total fatalities. There are several dynamic rollover metrics in use that measure a vehicle's rollover propensity under specified conditions. However, in order to prevent a rollover event from occurring, it is necessary to predict a vehicle's future rollover propensity. This research uses a novel vehicle rollover metric, called the zero-moment point (ZMP), to predict a vehicle's rollover propensity. Comparing different amounts of preview, the results show that short-range predictions - as little as 0.75 seconds ahead of the vehicle - are sufficient to prevent nearly all dynamics-induced rollovers in typical shoulders and medians.
UR - http://www.scopus.com/inward/record.url?scp=84902374525&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84902374525&partnerID=8YFLogxK
U2 - 10.1115/DSCC2013-4000
DO - 10.1115/DSCC2013-4000
M3 - Conference contribution
AN - SCOPUS:84902374525
SN - 9780791856147
T3 - ASME 2013 Dynamic Systems and Control Conference, DSCC 2013
BT - Nonlinear Estimation and Control; Optimization and Optimal Control; Piezoelectric Actuation and Nanoscale Control; Robotics and Manipulators; Sensing;
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2013 Dynamic Systems and Control Conference, DSCC 2013
Y2 - 21 October 2013 through 23 October 2013
ER -