Managing the Uncertainty of Data Fusion from Different Sources in Modelling Route Choice Behaviour

In this paper, a method for fusing data relevant both to drivers´ experience and provided information about travel time is presented. The method takes into account the "compatibility" of data originating from different sources, and provides information about acceptability of results. The influence of uncertainty on drivers´ compliance with provided information is examined in detail, according to the Uncertainty-based Information Theory. The data fusion results then in an updating of the expected travel time. Finally, the travelers compare the updated travel times of alternatives and choose, among them, the best one from their point of view. The proposed model has been applied to a test network where two different information sources have been considered. Results highlight the effectiveness of the model in quantifying and simulating drivers´ compliance with information.