Zf Friedrichshafen Ag

Lev Levin

Michael Klank

Grigory Yezersky

Gahl Berkooz

Dennis Pape

David Wilson

Pulkit Monga

Olivier Barree

A method of developing a road conditioning monitoring model is disclosed. The method comprises utilizing vehicle sensors to collect data under controlled conditions over a road surface to develop a training data set. The training data set undergoes a data analysis to determine an absolute running mean associated with the first road surface under controlled conditions. Abnormalities in the road surface are detected by comparing the absolute running mean with the training data set. The detected abnormalities are classified to create road surface classification rules. A method of developing a road condition database is also disclosed, that comprises utilizing vehicle sensors during operation of a vehicle to collect data during the operation and feeding the data into the road conditioning monitoring model to classify the road conditions on which the vehicle is driven. A system for determining road condition impact on a vehicle is also disclosed.

Method of determining parameters of interaction between a vehicle and a road

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Charlotte, NC, United States of America

Lev Levin