Probabilistic Detection of Rollover Risk of Heavy Vehicles Laboratoire Central des Ponts et Chaussées

Format:

Conference/Event

Author/Creator:

Sellami, Y., author.

Conference Name:

SAE World Congress & Exhibition (2008-04-14 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2008

Summary:

AbstractThe aim of this paper is to elaborate a reliable rollover risk evaluator of a heavy vehicle in order to supply reliable information to the warning or control system. This is done by calculating the probability of rollover risk. The evaluation is based on the load transfer ratio between the right and left sides. Sensitivity analysis is given to find the most influential parameters on the risk. Then, probabilistic modeling of these parameters is obtained by using Maximum Entropy Principle. After that, Unscented Kalman Filter is developed to estimate all dynamic states and to identify the height center of gravity that cannot be directly measured. Finally, the obtained probability laws are used in a reliability method to approximate the probability of rollover risk

Notes:

Vendor supplied data

Publisher Number:

2008-01-0349

Access Restriction:

Restricted for use by site license