Abstract: Systems and methods of predicting the retention rates of students attending an educational institution are provided. The method includes receiving an initial dataset related to a cohort of students attending the educational institution, dividing the initial dataset into a training dataset and a testing dataset, training a predictive algorithm via the training dataset to generate a prediction model, and processing the testing dataset via the prediction model to output a prediction results dataset. The prediction results dataset includes a listing of the cohort of students organized from most likely to leave the educational institution to least likely to leave the educational institution. The method includes filtering a percentage of the prediction results dataset to identify a watchlist of students likely to leave the educational institution.

Abstract: The technology provides designs and methods for the transit management system, which facilitates transit vehicle operations and control for connected automated transit vehicles (CATVs) systems. The transit management system provides transit vehicles with customized/non-customized information and time-sensitive control instructions for transit vehicle to fulfill the driving tasks such as vehicle routing, lane changing, turning. The transit management system also realizes transit vehicle lane design, transportation operations and management services for transit vehicle. The transit management system consists of one of more of the following physical subsystems: (1) Roadside Unit (RSU) network, (2) Traffic Control Unit (TCU) and Traffic Control Center (TCC) network, (3) Vehicle Onboard Unit (OBU), (4) Traffic Operations Centers (TOCs), (5) Cloud platform.