Mining data from induct loops

The complicated traffic situation in Prague is not only due to a rise of the number of cars in the last few years, but also due to historical formed streets which are not able to fully satisfy present traffic performances. Also the ratio of motorization is higher here than, for example, in Vienna or Cologne. Using standard methods cannot solve the enormous traffic problems - a new approach should be used. The traffic control in an area of Prague discussed in this paper is based on an adaptive control MOTION. Often, the level of service (LOS) in this area is on the threshold of saturation when the control system cannot significantly improve the situation. For this reason it has to be supported by another system, which provides information about the current traffic conditions to drivers and together create a hybrid traffic management system. Variable message signs (VMS) are used to distribute this information. This paper describes the way how information about LOS can be collected from the induct loops and distributed to the VMS. Most attention is paid to an automated mining of data from detectors. The algorithm used is based on clustering using genetic algorithms.