Over than 95% buses in Taiwan have been installed on-board-units and supervised by district bus information management system. People can acquire buses' real-time location and estimated arrival time via webpage, smart phone or interactive voice response system. Our research deals with estimated arrival time by creating a model of Linear Regression and Neural Network to predict buses' travel time and we validate the accuracy of estimated time with domestic buses in Taiwan. We find that the model created by Neural Network manifest a better prediction accuracy and execution efficiency.
ITS APTS Artificial Neural Network ANN Back Propagation Neural Network