Abstract
The travel behaviour approach is developed to analyze the urban traffic flow in terms of individual travel behaviour for urban transport planning. In the study, destination choice modelling is particularly discussed for the description of individual travel behaviours. The development of proper destination choice model for multi-stage traffic analysis is rather important in terms of spatial trip structure for travel behaviour analysis. The structure of destination choice model with fuzzy classifier systems is discussed and the empirical results are shown. The fundamental formulation of fuzzy classifier system is mentioned and the parameters of membership functions are determined with empirical data. The fitness for destination of travel behaviours is discussed to compare the proposed destination choice model to the existing model. As a result, it is confirmed that the accuracy of estimation for the destination of trip makers can be improved with introduction of the model based on learning process in fuzzy classifier system. Furthermore, it is known as well that the travel behaviour model installing the proposed destination choice process provides the improved estimation of realistic travel patterns. According to the previous results of analysis, it can be concluded that the destination choice model proposed here should have several advantages in travel behaviour analysis to construct the travel behaviour model with high accuracy.
