… performance of the arrival time prediction approaches, ie, Kalman filter methods, regression-…
to obtain an optimized feature space from an input vector space using some data training …

… , an approach that considers variation over time and space may … time and then to predict
bus travel times and (ii) other non-linear filtering approaches such as Unscented Kalman Filter (…

… , [19], arguably one of the earliest Kalman filter based approaches, uses the previous bus
travel … Vanajakshi, and SC Subramanian, “Bus travel time prediction using a time-space …

… arrival estimation method. Enhancing … Kalman Filter model used for transit arrival-time
estimation. Section 5 presents a case study where bus arrival time is estimated with Kalman Filter …

… A fusion method based on the real-time prediction errors of … the final computation of the
prediction model. The hybrid model … and prediction analysis to manage the inter-campuses bus …

… as SVM, fuzzy logic, KNN, Kalman filter, hybrid models, etc. In … , the approaches of arrival
time and travel time prediction are … Spatial factors—The arrival/travel time is correlated with the …

… kalman filter for spatial multi-step prediction. Compared to our nonlinear ED (Seq2Seq)
approach … based approach for Bus arrival time prediction (BATP). As shown, the geometry of ED …

… for link travel time prediction with uncertainty estimation: … approach for obtaining uncertainty
estimates for vehicle run … a Linear Kalman filter using a state-space corresponding to the …

… bus travel time prediction models do not need to be confined to the spatial connectivity of
the bus … 2) Kalman Filters (KF) approaches use a series of travel time records observed over …

… A typical prediction inspired by a real improved Kalman filter … A bus arrival time prediction
method based on position … Bus arrival time prediction based on LSTM and spatialtemporal …