Bus travel time prediction in mixed traffic: a multisource big data approach with multiple modelling strategies
This study examines the prediction of bus travel times within urban corridors in A Coruña, Spain, using an extensive dataset from transit management databases and on-street sensors, and finds that none of the three ML approaches has consistently proven to be preferable in bus travel time predictions.