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A good quality Origin-Destination(OD) matrix is a fundamental prerequisite for any serious strategic transport system analysis. However, is not always easy to obtain it, as OD matrices are expensive and difficult to obtain. This is particularly relevant in large cities, with congested networks, where detailed zonification and time disaggregation require large sample sizes and complicated survey methods. Therefore, the incorporation of information technology in some public transport systems around the world is an excellent opportunity for passive data collection. In this paper the authors present a methodology for estimating an OD matrix from smartcard and GPS data for Santiago, Chile. The authors applied the proposed method to a one-week database, obtaining detailed information for time and position of boarding, time and position of alighting for 80% of the 36 million boarding transactions. The results are available at any desired time-space disaggregation. After some post processing, and incorporating expansion factors to account for unobserved trips the authors build OD matrices disaggregated at bus stop level.
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