DSCC 2013 Paper Abstract

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Paper WeBT1.5

Stankiewicz, Paul (Penn State University), Brown, Alexander (The Pennsylvania State University), Brennan, Sean (Penn State University)

Determination of Minimum State Preview Time to Prevent Vehicle Rollover

Scheduled for presentation during the Invited session "Vehicle Path Planning and Collision Avoidance" (WeBT1), Wednesday, October 23, 2013, 14:50−15:10, Paul Brest East

6th Annual Dynamic Systems and Control Conference, October 21-23, 2020, Stanford University, Munger Center, Palo Alto, CA

This information is tentative and subject to change. Compiled on March 29, 2024

Keywords Collision Avoidance, Vehicle Dynamics and Control, Vehicle Active and Passive Safety Systems

Abstract

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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