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Public transport OD matrix estimation from smart card payment system data Marcela A. Munizaga [email protected] Departamento de Ingeniería Civil, Universidad de Chile. Casilla 228-3, Santiago, Chile Nowadays, many cities in the world have incorporated information technology to their public transport systems. Santiago, Chile is not an exception, and the new public transport system Transantiago has introduced GPS bus location and a smartcard payment system that provide an excellent opportunity for passive data collection. This is a rather new system, implemented only in 2007, and one important characteristic of the new system is that a very high percentage of the boardings are recorded in a huge Transactions database, and a significant percentage of users that use the same card in all his/her trips (transactions). This characteristic, which is not present in other public transport system, represents an excellent opportunity for public transport planners, as we can follow cards (users) through the system, and identify their travel patterns. This source of information has so much space-time detail that permits analyzing not only mean attributes at any desired level of time-space disaggregation, but also variance and regularity of behavior. In this paper we describe the data and some of the potential applications, and show some preliminary results. We focus on OD matrix estimation. We propose a method to estimate boarding and alighting bus stops, and to estimate travel time and time assigned to activities between trips. The proposed method is applied to the database of one week of system operation that contains near 40 million observations. The results are analyzed in terms of variance and reliability. Furthermore, we explore on the issue of potential biases that could affect the estimation of an OD matrix from this information.