One of the biggest problems highly populated urban areas face today, is inefficient mobility, especially when manifested as traffic congestions. Therefore, understanding traffic congestions and flows is a key insight needed for solving these issues. Cities and highways are traditionally well covered by traffic monitoring systems. The network of these systems is continuously being developed. Such systems aim to detect congestion in different ways. With data from the vehicle counting system, I have created a model, which analyzes and tries to predict values of the system. I have performed the targeted analyses with the use of different techniques and methods. I started off with a basic statistical analysis, to better understand the presented data and connections between its values. I continued with data mining approaches and tried to predict certain data values.
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