Predicting and visualizing traffic congestion in the presence of planned special events
We analyze in detail the impact of Planned Special Events (PSEs) on traffic. We propose two novel methods to predict upcoming congestions caused by PSEs. Results show that our prediction methods outperform the state of the art by 35%. We introduce a specifically designed tool for visualizing the prediction results. Visualization tool allows experts to evaluate upcoming situations ahead of time.
visualization mobility traffic prediction machine learning geographic information systems