Automated surveillance systems observe the environment utilizing cameras. The observed
scenario is then analysed using motion detection, crowd behaviour, individual behaviour …

Despite the unprecedentedly growing discussion of big data generated in urban
environments and the widespread use of so-called urban big data (UBD) in recent years …

Smart Crowd management (SCM) solutions can mitigate overcrowding disasters by
implementing efficient crowd learning models that can anticipate critical crowd conditions …

Recently, the concept of Digital Twin [DT] has pervaded the field of urban planning and city
infrastructure management. This paper first affirms that the knowledge created by virtue of …

Counting the number of people in a crowd has gained attention in the last decade. Due to its
benefit to many applications such as crowd behavior analysis, crowd management, and …

Big data pipelines are developed to process data characterized by one or more of the three
big data features, commonly known as the three Vs (volume, velocity, and variety), through a …

Anomaly detection in spatiotemporal data is a problem encountered in a variety of
applications including urban traffic monitoring. For urban traffic data, anomalies refer to …

Crowdsensing has received widespread attention in recent years. It is extensively employed
in smart cities and intelligent transportation systems. This paper comprehensively surveys …

Crowd management is a considerable challenge in many countries including Saudi Arabia,
where millions of pilgrims from all over the world visit Mecca to perform the sacred act of …

Crowd management is an essential task to ensure the safety and smoothness of any event.
Using novel technologies, including surveillance cameras, drones, and the communication …