… We propose a bus network construction method from a novel … representation method
represents the road segments of bus … to predict city-wide bus travel times that considering spatial, …

… the historical data, statistical models, Kalman filtering models and machine learning models.
… This paper proposes an approach for predicting bus arrivals to the stop based on historical …

… Additionally, since a linear filter is usually used in the Kalman filter (KF) model, it was
difficult to … Therefore, in this study, the spatial features of bus stops are captured through bus …

… We showed that our method could provide an accurate bus travel time prediction from web
data … Moreover, [31] applied a Kalman Filter to optimize the arrival time prediction of the …

… • We develop a new hybrid model taking a Kalman filter in an … The free space of the new
population is fulfilled with a new … A suitable approach for evaluating bus arrival time prediction …

… This work introduces a novel data-driven approach for predicting … bus arrival time by using
automatic vehicle location data and by … for exploring the space of solutions by encoding each …

… Kalman filter to predict spatial-temporal OD flows is proposed. Since different topology matrices
are incorporated into graph neural networks and Kalman filter… of the proposed approach. …

… set are applied in the prediction approaches according to the … analyze the prediction results
in time and space dimensions to … Qin, “Hybrid dual Kalman filtering model for short-term traffic …

… the state-state-space form and integrated with a filtering technique using appropriate inputs,
… LWR model-based prediction method. The developed real-time prediction methodology is a …

… considered only local spatial correlations due to the LSTM network method adopted. Cats …
prediction analysis for the dynamic time-table scheduling to manage the inter-campuses bus …