• Pascal Roux , Stéphanie Depraz-Depland , Guillaume Bouchard , Frédéric Roulland , Luis Ulloa , Pascal Valobra , Victor Ciriza
19th ITS World Congress Vienna, Austria, October 22-26, 2012
Modern fare collection sysstems based on contactless cards and connected to central management systems increase the passenger comfort and reduce fraud but also open transportation systems to new opportunities in the big data era, enabling a better understanding and optimization of the infrastructure. Every magnetic of contactless card transaction contains information about when and where a passenger boarding happens. The use of this data to study transportation demand, detect passenger activity patterns and optimize networks accordingly was so far an exercise limited to the academic domain. In this study, we present an extension of ACS Atlas fare collection systems allowing city planners, urban netwok operators and even to easily understand the transporation demand of a city. The system takes the fare collection systems as input data source and processes it with suitable data mining and visualization techniques. We will present in this paper the use of the fare collection data in order to visualize demand in combination with GIS, its evolution over time, the characterization of geographical areas based on boarding patterns, the estimation of origin-destinations matrices and finally the estimation of vehicle load solely based on fare collection boarding events as provided by the fare collection systems.
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