Tram-Based Mobility Mining with Event Processing of Transit-Card Transactions

The mining of transit-card transactions is nowadays an interesting solution for human mobility detection in urban areas. However, most existing approaches in this domain do not face current needs of most stakeholders that already require to extract meaningful knowledge from these transactions in real time. In this context, the present work introduces a novel method based on Complex Event Processing and fuzzy clustering to extract different profiles of travellers of a public transit system at the same time smart-card transactions are generated. Experiments in a real tram system scenario shows the suitability of the proposal.