Applying Fog Computing to Improve Crime Assistance in Smart Transportation Safety Systems

Smart Transportation Safety (STS) envisions to improve public safety through a significant paradigm shift in today's reactive way that police authorities respond to crimes to a pro-active one. The application of smart surveillance in STS allows automatically identifying potential security threats in the target environment with agility and accuracy. Fog computing promises to enhance the cloud smart surveillance enabled STS systems, by avoiding the additional latency rates raised by the round trips to faraway data centers. In this paper, the FISVER framework is proposed to apply new ICT paradigms in smart surveillance capable STS systems to enhance crime assistance. Through FISVER, in-vehicle fog and Fog systems interwork to provision autonomous crime detections and real-time crime assist at bus service. FISVER's prototyping over a real testbed raises evaluation outcomes that demonstrate its essential contribution to mission critical situations, highlighting outstanding system performance and mobile device survivability rates in comparison to a typical STS use case.