City-Wide Traffic Prediction Using Aggregated Mobile Network Activity Data
A novel approach that leverages aggregated cellular network activity as a large-scale, infrastructure-independent data source for predicting travel time and speed and proposes the Integrated Mobility Model, a multimodal fusion architecture that combines cellular network activity with Bluetooth sensor data to further enhance prediction accuracy.