Dynamic data-driven local traffic state estimation and prediction
Data-driven approach for local traffic state estimation and prediction. Pre-existing modeling components in a methodologically novel way. Flexibility in incorporating additional explanatory variables. Shown to outperform current state-of-the-art models.
data-driven approaches traffic state prediction local speed prediction clustering classification markov process locally weighted regression neural network