Pattern-Based Short-Term Urban Traffic Predictor

Short-term urban traffic predictor is a prediction system based on artificial intelligence and advanced analysis of nonlinear dynamics of short-term traffic flow. The aim is to address: (1) the need for accurate anticipated traffic information, (2) the ability to cope with various traffic conditions in an integrated up-to-date functional structure and (3) the need for accurate and timely predictive short-term traffic information in an extended time horizon in cases of data collection malfunction. The conceptual and functional framework of short-term urban traffic predictor is presented. The above are encapsulated in a user-friendly application. Finally, some interesting results regarding computational time and accuracy of recursive predictions are presented