Spatial-temporal data mining, with data driven model and machine learning techniques, significantly benefit the traditional transportation research. This dissertation focus on three problems related to uncertain location data, lane-level traffic speed clustering and anomalous traffic speed prediction.
We take a first step towards combining the uncertain location data i.e., fusing...