One of the key elements for an effective ATMIS is the ability to predict traffic conditions with reasonable accuracy such that transportation system users are able to make better travel decisions. This study evaluates and implements a traffic prediction model on I-4. The performance is evaluated against different prediction horizons and traffic conditions. The algorithm was also used to support the implementation of an online traffic prediction system that provides the freeway travelers with predicted travel times and delays along the freeway corridor.