[en] The complexity of urban mobility patterns has been studied many years ago. Thanks to the continuous advance of information and communication technologies (ICTs), several mechanisms have been used to collected mobility data and, consecutively analyze these data using statistical and artificial intelligence techniques with an objective to derive important findings regarding people's mobility behavior. One of these techniques concerns to collecting of data based on GPS. Nowadays, due to the common daily use of smart phones, this technique can be used with considerable ease in research for the identification of urban mobility patterns. This paper presents a new approach to urban mobility data collection using Android GPS devices. It provides an overview of the performance of the SmartGPS application during the data collection process. Furthermore, we present a validation, analysis and visualization of the data using statistical techniques
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
