Nowadays, special attention is given to the research that focuses on the digital city. In order to benefit from the modern sciences, like the potential of the information technology, many areas need to be improved. Although the performance of governance and healthcare increased exponentially by integrating IT, the traffic system of great metropolises still wastes tremendous resources. The gap between the expansion of the road networks and the increase of the circulating vehicles has grown to such an extent that we should find an engineering solution as soon as possible.
In this study, the traffic information is not only generated for the Hungarian capital, Budapest, but these data may feed a dynamic routing component in order to optimize vehicle routes for travel time. So far, many aspects of this problem was analysed and we can declare that whether we use any of the mathematical methodologies, the result will be presented in a statistical way.
During my thesis, I examined the available data and technologies, and designed a floating car data processing system. In the first part of this paper I implemented a high-performance projection module, which projects GPS positions to the segments of a map database. Then, I estimated the actual traffic level by averaging the measured data. After many iterations of optimization, the whole system worked real time. By validating each module continuously, I ensured the reliability of the system.