Rollover prediction experiments - Toyota J-Turn

This experiment with the Toyota J-Turn maneuver is used to check the validity of rollover threat metrics

Rollover accidents are one of the leading causes of fatalities on highways. A key challenge in preventing rollover via chassis control is accurately predicting the onset of rollover. This project develops a vehicle rollover prediction algorithm that is based on a kinematic analysis of vehicle motion, a method that allows explicit inclusion of terrain effects. The solution approach utilizes the concept of Zero-Moment Point (ZMP) that is typically applied to walking robot dynamics. This concept is introduced in terms of a lower-order model of vehicle roll dynamics to measure the vehicle rollover propensity, and the resulting ZMP prediction allows a direct measure of a vehicle rollover threat index.

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People & Blogs

Tags:

• Rollover
• Rollover prediction
• Intelligent vehicles