Augmented Fluid Surveillance Using Grid Sensing for Intelligent Transportation Service
Document Type
Article
Source of Publication
IEEE Internet of Things Journal
Publication Date
1-1-2024
Abstract
Recent vehicle cooperation is utilized for advanced missions, including next-generation communication and 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 article, 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.
DOI Link
ISSN
Volume
11
Issue
22
First Page
36044
Last Page
36052
Disciplines
Computer Sciences
Keywords
Augmented, fluid, surveillance, transportation, vehicle cooperation
Scopus ID
Recommended Citation
Kim, Minsoo; Ben-Othman, Jalel; and Kim, Hyunbum, "Augmented Fluid Surveillance Using Grid Sensing for Intelligent Transportation Service" (2024). All Works. 6906.
https://zuscholars.zu.ac.ae/works/6906
Indexed in Scopus
yes
Open Access
no