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.

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