Forecasting travel times based on actuated and historic data

In this research a model of forecasting the travel times of links will be addressed. Forecasting is one of the main topics of an integrated traffic management system and a necessity of dynamic route planning systems. To be able to forecast properly we use both historic data and current data from monitoring devices as input for our dynamic model. Thus, combining the best of both worlds, we are able to forecast travel times in the near future based largely on current data as well as travel times for some time ahead based on current and historic data. Accuracy and variability of data are important as they are the key element if these models will be incorporated in route guidance and traffic management schemes.