GIS-transportation data analysis supporting fleet management systems

The economy of Hungary and of the Eastern European countries is rapidly developing, which effects on the growth of motorization. In order to improve road safety, reduce congestion i.e. improve the "quality of transportation" the transportation authorities are turning to exploit new technologies, such as Geographic Information Systems (GIS) and remote sensing. The state-of-the-art sensors mounted on the modern trucks and lorries provide important data about the road and weather conditions, as well as about the truck itself. The georeferenced data, which are linked to location, can be represented and analyzed in GIS. The recent GIS packages provide extremely powerful performance in data analysis, and also capable of supporting fleet management systems. Mapping the driver's behavior, traffic conditions, vehicle capabilities or solving the shortest path problem, route management is also possible using GIS. In this paper we prove the power of Geographic Information Systems using real on-board transportation data from different field-tests carried out in Hungary.