Travel time and travel speed are the most relevant parameters for traffic management and control. The estimation of these parameters is an important exercise for collective and individual traffic control systems as well as for methods of traffic assignment. The minimization of delay time is the most decisive factor for the driver. Therefore the estimation of travel time is considered as one of the most relevant aspects for traffic management and control. Based on the statistical analysis and the aspects concerning local and stretch related traffic data a Neuro Fuzzy Approach for travel time estimation by fusioning local and mobile traffic data has been developed. The travel speed is estimated continuously in intervals of 5 minutes. The totally different data format of local traffic data (based on the German TLS-Standard) and the Floating Car Data based on the GAT Standard is combined to determine the travel speed in a section.
Abstract