Development of Drivability Sensory Evaluation with Machine Learning

Abstract

Combination of complex driving operations and vehicle behavior by expert drivers are necessary for drivability performance improvement. In this study, an evaluation method using Machine Learning was developed to reduce extensive testing efforts and sharing knowledge of experts. Furthermore, the method is applied for engine bench system. This utilization involves acceleration behavior predicting from ECU data, conducting independently from the actual vehicle evaluations. Additionally, this method has also been applied to actual vehicle evaluations.