Abstract: his paper proposes a flexible methodology to improve the definition of each distinct trip carried out in a transport system, integrating the information provided by stop-level events from its automated vehicle location and fare collection systems, and scheduling subsystem information at the initial stop of planned trips. The data are structured; and then corrected and completed utilizing several criteria, including a probabilistic approach based on the distributions of travel and dwell times, aiming to minimize the distortions that appear due to the nature of the available sources. The case study data encompass one year of records from the automated vehicle location, fare collection, and scheduling subsystems in Santander City, Spain. The results are discussed with captures from an interactive web visualization tool that has been developed for this work.

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