Achievement

In this reporting period, a new sequential associative learning algorithm was developed that proved to be far more robust to missing data than previous methods. This technique was shown to greatly reduce the burden for collecting a person's travel history, making it possible to learn an individuals travel patterns unobtrusively. These accomplishments along with previous IGERT research combine to form an overall framework for individual activity pattern learning and prediction for mobile applications.