The data gathered from smart cities can help citizens and city manager planners know
where and when they should be aware of the repercussions regarding events happening in …

The sustainable growth of cities created the need for better informed decisions based on
information and communication technologies to sense the city and quantify its pulse. An …

The advances in technologies and the popularity of the smart city concepts have led to an
increasing amount of digital data available for urban research, which in turn has led to urban …

Urbanization is accelerating at a high pace. This places new and critical issues on the
transition towards smarter, efficient, livable as well as economically, socially and …

Urban environments continuously generate larger and larger volumes of data, whose
analysis can provide descriptive and predictive models as valuable support to inspire and …

Road traffic prediction is crucial for transport operators. Traffic operators use traffic
simulators with different precision levels (from microscopic to macroscopic simulators) to …

Urban abnormal events constitute a significant threat to social order and public safety. It is of
vital importance for emergency treatment if the location and time of abnormal events could …

The road network of big cities is a complex and hardly analyzable system in which the
accurate quantification of interactions between nonadjacent road segments is a serious …

Predictive analytics are concerned as a type of complex event processing where a complex
event can be predicted by utilizing insights extracted from a set of related events. This paper …

Having an effective and efficient model to predict traffic congestion using multi-sources data
has challenged researchers for decades, especially when the number of data sources and …