Determination of minimum state preview time to prevent vehicle rollover

Paul G. Stankiewicz, Alex A. Brown, Sean N. Brennan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationNonlinear Estimation and Control; Optimization and Optimal Control; Piezoelectric Actuation and Nanoscale Control; Robotics and Manipulators; Sensing;
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Print)9780791856147
StatePublished - Jan 1 2013
EventASME 2013 Dynamic Systems and Control Conference, DSCC 2013 - Palo Alto, CA, United States
Duration: Oct 21 2013Oct 23 2013


OtherASME 2013 Dynamic Systems and Control Conference, DSCC 2013
Country/TerritoryUnited States
CityPalo Alto, CA

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering


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