… problem, this paper proposes a forecasting analysis method based on space feature
vector. … routes, which based on support vector machines (SVMs) and Kalman filtering-based …

… predictions than simple regression. This paper presents a scalable framework to implement
Kalman Filters on an entire bus … The prediction method tested in this study stems from the …

… , a bus arrival time prediction model combining Support Vector Regression (SVR) and Kalman
Filter (… Achar et al. propose a method which could explicitly learn the spatial and temporal …

… a Kalman filterLSTM deep learning method to forecast bus … of the spatial-time characteristics
of the bus network consisting … a Kalman filter-LSTM model to forecast the travel time of bus …

… Kalman filter, DNN, dynamic model to predict the bus arrival … A suitable approach for
evaluating bus arrival time prediction … Bus arrival time prediction using RBF neural networks …

… We present a novel approach for a travel time prediction model for public transit in an urban
… The metric defines the distance between two points x and y in a d-dimensional space with …

… Kalman filter is the most popular parametric approach in the field of bus arrival prediction. …
A combined method based on both temporal and spatial feature vectors was proposed using …

… We explicitly learn both spatial and temporal correlations in a general (non-linear) … Kalman
filter to predict the travel time to reach any subsequent section j from the current section (bus-…

… adjusted Kalman filter method to estimate bus running times by … the Kalman filter to solve the
bus arrival time prediction … spatial relationship between bus lines and how buses of different …

… methods such as ANN, SVM Kalman filter, DNN, dynamic model to predict the bus arrival …
A suitable approach for evaluating bus arrival time prediction techniques in Egypt. In: …