Traveler Data Collection and Analysis to Extract Travel Behavior

To enhance the Value of Travel Time (VTT) is important for the tourism-related or transport infrastructure industries. Evaluation of VTT needs a simple way to collect vast and diverse traveler log data. In this paper, an experiment collecting such huge traveler data set by using QR codes and smartphones. Moreover, the static and dynamic data analyzing methods of the traveler log data are introduced. Finally, a typical traveler behavior is extracted from the data.