This dissertation presents a comparison of point and spatial method for measuring traffic flow characteristics. As a point method, the detection of vehicles and measurement of their characteristics with a microwave detector is presented, and as a spatial method, the technology of a cooperative intelligent transport system is presented. The basic purpose of the latter is distribution of the data collected from road infrastructure to the vehicles.
The technologies used by microwave detectors and individual units of a cooperative intelligent transport system are explained in detail. The obtained results from both methods and traffic events that can be recognized on the basis of the obtained results are presented and analyzed. The method of event recognition based on the results of the average vehicle speed and the possibility of automating the detection of events such as congestion are also explained.