Traffic Prediction

Nowadays, the interest for developing intelligent transportation systems constantly increases. Transport optimization, either for individuals or fleets, has significant social, economical and environmental impact. Forecasting vehicle traffic within multiple steps ahead of present time is certainly a challenging task whose successful outcome could improve current urban mobility services. Research in this area aims to devise and develop novel data mining and parametric model-based techniques, as well as hybrid approaches for achieving the best possible accuracy in vehicle traffic prediction.

Traffic Prediction

 

Relevant Projects: eCOMPASS, MOVESMART.


View Related Demos