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This article discusses the issues of building a transport data analysis platform. The development of digital technologies in transport, as well as the development and widespread penetration of telecommunication technologies, makes it possible to collect a large amount of data describing the interaction of passengers and transport systems. For example, each passenger today can be represented as a kind of smartphone, the movements of which are effectively tracked by telecommunications operators and can be presented in a safe, from the point of view of privacy, form for analysis. It will be an analysis of movement trajectories that are easy to link to transport systems (routes). Using transport maps and networking input devices allows researchers to collect information about the entrances and exits of passengers, etc. Automatic collection of information always entails some standardization of the output data and their presentation formats. Hence, the task naturally arises to automate the repetitive processes of analysis and processing of such data. The purpose of the study is to present a new, unparalleled software platform for transport data analysis. The platform provides the ability to store and process basic types of transport data, such as correspondence matrices and travel document usage logs. The analytical component of the platform allows you to highlight behavior patterns and use them as metrics for the urban agglomeration. The operation of the system is illustrated by examples of transport data analysis in the Moscow region