Augmented Fluid Surveillance Using Grid Sensing for Intelligent Transportation Service

Recent vehicle cooperation is utilized for advanced missions including next-generation communication, dynamic real-time information. active safety control for interconnected vehicles, collection of a heavy traffic information. In particular, the urban traffic surveillance should be one promising topic toward advanced vehicle road cooperation service supported by smart camera and Internet of Things (IoT). In this paper, we introduce an augmented fluid surveillance system to create an adaptive fluid surveillance using a group of single lens cameras for intelligent transportation service. The research problem for augmented fluid surveillance is formally defined. Its objective is to optimize the surveillance efficiency for various traffic circumstances of traffic volumes so that the optimal deployment of smart camera is achieved. To settle the problem, two different methods are proposed with clear execution procedures and specifications. Then, their performances are evaluated with obtained results by extensive simulations for diverse settings and applicable scenarios. Furthermore, future research issues and works are described briefly.