Towards a Context-based Mobility Prediction in Smart Cities: First Experimentations

This paper addresses the prediction of mobility and emphasizes the main steps of our context-based mobility prediction approach that are trajectory modelling, data processing and prediction process. First, we present our context-based and prediction - oriented trajectory model, which relies on the grid technique for trajectory description. Second, we describe a data processing architecture for data coming from Wifi networks. Third, we focus on our data mining-based prediction process used for the first experimentations. Evaluation of our contributions is performed on a real dataset. First results showed the positive impact of our trajectory model on our mobility prediction process.