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Passenger Flow Prediction Using Smart Card Data from Connected Bus System Based on Interpretable XGBoost
Wireless Communications and Mobile Computing
Bus passenger flow prediction is a critical component of advanced transportation information system for public traffic management, control, and dispatch. With the development of artificial intelligence, many previous studies attempted to apply machine learning models to extract comprehensive correlations from transit networks to improve passenger flow prediction accuracy, given that the variety and volume of traffic data have been easily obtained. The passenger flow on a station is highlydoi:10.1155/2022/5872225 fatcat:fpmqrwgff5grnp2oydw2bej23q