Multi-Rotor UAVs in Crowd Management Systems: Opportunities and Challenges

Aymen Hamrouni, Hakim Ghazzai, Hamid Menouar, Yehia Massoud

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Crowd Management (CM) is an important public safety paradigm that monitors, manages, and even guides a group of people to ensure their safety and prevent any unpredicted disturbance. Recent CM approaches utilize IoT devices such as CCTVs and RFID tags to enable crowd monitoring and tracking as well as abnormal behavior detection and prediction. However, these systems still suffer from several short-comings, such as limited mobility and poor response time. In this magazine, we overview the potential of CM platforms supported by an aerial infrastructure composed of a fleet of Unmanned Aerial Vehicles (UAVs). Thanks to their mobility, sky vision, and flexibility, UAVs can provide adaptive CM services and intervene immediately to assess the crowd status. The article discusses the challenges of designing inno-vative solutions to enhance the autonomy of UAVs and their use in real-world applications. Finally, future research directions are pointed out to develop futuristic UAV-based CM systems.

Original languageEnglish (US)
Pages (from-to)74-80
Number of pages7
JournalIEEE Internet of Things Magazine
Volume6
Issue number4
DOIs
StatePublished - Dec 1 2023

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems

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