Abstract
Modern high rates of urbanization affect the economic and social processes in cities around the world. One of the main problems in cities is the weakness of transport systems. To solve this problem, it is necessary to use specialized software for modeling, in consequence of the fact that there is no possibility to influence the situation in real time. The main problem in creating a transport model of cities is the lack of data on the mobility of residents. The aim of this work is to develop a method and software for automated creation of microscopic models of cities using open data. We propose the processing pipeline that consumes the open data about city population and transport infrastructure and produces routes for agents of microscopic simulation. The developed method was implemented using the Python programming language in the Zeppelin interactive environment. The software was tested on data from the city of Samara (Russia). The obtained results show acceptability of proposed method and possible ways to improve the accuracy of the model.
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