Using urban passenger transport as a data source has several advantages, since it covers most of the urban transport network, and the equipment necessary for data collection has already been installed in rolling stock. Although buses and personal cars move differently, relationships can be developed to estimate travel time using available data. The main hypothesis of the study is that the travel time of nearby routes has a strong correlation, since these directions are subject to similar traffic conditions. The model is tested using real-time travel data
route, travel time, model, passenger transport.
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