1 research outputs found
CVEH: A Dynamic Framework To Profile Vehicle Movements To Mitigate Hit And Run Cases Using Crowdsourcing
In developed countries like the USA, Germany, and the UK, the security forces
used highly sophisticated equipment, fast vehicles, drones, and helicopters to
catch offenders' vehicles. Whereas, in developing countries with limited
resources such schemes cannot be utilized due to management cost and other
constraints. In this paper, we proposed a framework called CVEH that enables
developing countries to profile the offender vehicle movements through
crowdsourcing technique and act as an early warning system to the law forcing
agencies. It also engages citizens to play their role in improving security
conditions. The proposed CVEH framework allows Vehicle-to-Infrastructure (V2I)
communication to monitor the movement of the offender's vehicle and shared its
information with the Command and Control (CC) centre. The CC centre projects
the path and engages nearly located law enforcement agencies. CVEH is developed
and evaluated on android smartphones. Simulations conducted for this study
exhibit the effectiveness of our framework