Abstract: This work investigates whether the user-generated data from multiple sources, such as smart cards and social media, can be used to identify main mobility/activity patterns based solely on geo-tagged information. To perform ...

Abstract: This paper addresses the problem of modeling and predicting urban traffic flow variability, which involves considerable implications for the deployment of dynamic transportation management systems. Traffic variability is ...

Abstract: Research on short-term traffic conditions prediction has been largely concerned with parameters such as flow, occupancy, and speed, ignoring at the same time predictions during congestion, a period when predictions are ...

Abstract: As natural and human-induced disasters have increased in recent years in number, magnitude, and impacts, the frequency of evacuation orders is expected to be accordingly raised in the future. Practice has shown, however, ...