In a more and more critical economic context and cut of public subsidies, transport authorities need support to take smarter decisions. Automated Data Collection Systems, installed on public transport vehicles, can be used to investigate individual mobility patterns and gather demand characteristics, with several benefits, if compared to manually collected data. In fact, in most fare collection systems worldwide, only the boarding information is recorded. In order to overcome the lack of knowledge related to the users’ destinations, many researchers investigated and proposed several models that attempt to solve this issue by analyzing the smart card individual validation data. This work focuses on the development of a system based on the well-known Trip Chaining Model in order to analyze the smart card data of the most important public transport networks of the Oise French department and produce stop to stop origin-destination matrices.