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Intelligent Transportation Systems (ITS) offer a solution for alleviating congestion in urban areas based on its traffic control service. It is part of the build + ITS approach where new infrastructure with different ITS services is applied to improve traffic throughput, reduce vehicle emissions, increase the Level of Service (LoS), and improve the usage of existing vehicles with the Mobility as a Service (MaaS) concept. The latter enables the cities to offer mobility users concepts of car-sharing, ride-sharing, and tailored multi-modal travel patterns. The city or urban road infrastructure can be divided into urban motorways and networks of signalized intersections. Traffic control approaches related to Variable Speed Limit (VSL) control, ramp metering, lane change recommendation, and Adaptive Traffic Signal Control (ATSC) are applied to manage the urban road infrastructure.

The rapid increase in the number of vehicles on the roads is attracting the attention of many researchers around the world. The consequences of the increased number of vehicles are numerous, firstly increased congestion and negative climate effects, and secondly, many countries and companies are encouraged to research traffic behavior and collect historical data from traffic sensors. Simulations are gaining a significant role in researching traffic characteristics, as not all scenarios are feasible in the reality. Observing traffic in simulation environments provides a significant number of parameters that can be obtained and analyzed. In this paper, we provide an overview of the process of creating traffic simulations in the SUMO simulator. In addition, we have managed to automate part of the process of preparing the simulation.