Ford Global Technolgoies, LLC

Engin Ozatay

Dimitar Petrov Filev

John Ottavio Michelini

Data about vehicle movement at a stoplight are collected. A stoplight cycle time is predicted with a probability model. The data are compared to the predicted stoplight cycle time. A noise function is applied to the data to generate noise-applied data. The probability model for the predicted stoplight cycle time is updated by scaling the probability model with the noise-applied data to generate a new probability model. A recommended vehicle operation is provided via a network to at least one vehicle computer based on the predicted stoplight cycle time determined by the new probability model.

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Ann Arbor, MI, United States of America

Engin Ozatay