UAV-enabled intelligent traffic policing and emergency response handling system for the smart city

Abdurrahman Beg*, Abdul Rahman Qureshi, Tarek Sheltami, Ansar Yasar

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

67 Scopus citations

Abstract

As modern cities expand and develop, the resultant increase in population density gives rise to the need for smart solutions to cope with the demands applied to the infrastructure of the city. In this paper, we investigate the shortcomings of traffic policing and emergency response handling systems; propose an intelligent, autonomous UAV-enabled solution; and describe the system in a simulated environment. Several scenarios of traffic monitoring and policing system are considered in the simulation: traffic light violations and accident detection, mobile speeding traps and automated notification, congestion detection and traffic rerouting, flagged stolen vehicles/pending arrest warrants and vehicle tracking using UAVs, and autonomous emergency response handling systems. Furthermore, smart city infrastructure enable intelligent handling of emergencies by providing traffic light prioritization for ground emergency response units to reduce delay for patient care, automated physical bollard on routes with congested points due to accidents or hazards, first responder support UAV units—medical supplies UAV, fire fighting UAV to combat or control small fires, and numerous other benefits. Lastly, we present the results of the simulated system and discuss our findings.

Original languageEnglish
Pages (from-to)33-50
Number of pages18
JournalPersonal and Ubiquitous Computing
Volume25
Issue number1
DOIs
StatePublished - Feb 2021

Bibliographical note

Publisher Copyright:
© 2020, Springer-Verlag London Ltd., part of Springer Nature.

Keywords

  • Accident detection
  • Emergency response
  • Smart city
  • Traffic monitoring
  • Traffic policing
  • UAV

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Science Applications
  • Management Science and Operations Research

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