Nowadays, in urbanized areas one of the most important matters is to determine a priori the time of driving from one zone of the city to another at various times of the day. The problem of travel time prediction is crucial in Intelligent Transportation Systems. The solution to this problem is a foundation of any route guidance system that will redirect drivers to their target destination via routes that have a lighter traffic load and thus higher travel velocity. In this paper is present a concept of a statistical methodology, developed by the ArsNumerica Group, that enables a quantity audit a travel time prediction algorithm. The methodology assumes that we are given database records of vehicles recognized by their unique identifier as well as duration times for which the messages with the predicted travel time are displayed VMS. the second aspect of ITS auditing considered in this paper is a placement of video cameras to measure vehicle stream velocity. Inappropriate camera location results in the fact that the stream velocity measured by them has a low usefulness for travel time prediction.
Traffic telematics systems have been used to increase road capacity as well as safety. On highways, this is accomplished with the usage of so called highway management systems, which among others through speed harmonization, ramp metering, informing about weather conditions or danger on road addresses these issues. Such system was recently implemented for the first time also in the Czech Republic. In this paper, the results from the first months of operation will be provided. First, the expected theoretical effects of such system on traffic flow characteristics will be provided and discussed. These effects follow the theoretical foundations of traffic flow theory, represented for example by fundamental diagram or changes to road capacity due to speed harmonization. Based on the measured data, the results of the particular implementation in the city of Prague, Czech Republic will be provided. The results will be discussed and compared to international experiences.
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