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Towards Zero Accidents

A Survey of Detection and Prevention Systems

Bibliographic Data

ID22195362
AuthorsNithin K (National Institute of Technology Raipur), Raviprakash M L, M L Raviprakash (Institut Teknologi Kalimantan)
Year2024
Volume5
Issue6
Publication date2024-06-30
Open AccessYes
TypeARTICLE
VenueShodhKosh: Journal of Visual and Performing Arts (JOURNAL)
Journal identifiersISSN: 2582-7472 • E-ISSN: 2582-7472
PublisherGranthaalayah Publications and Printers (PUBLISHER • IN)
DOI10.29121/shodhkosh.v5.i6.2024.3567
OpenAlexW4406183938
LanguageEN
References cited36

The increase in the number of vehicles being owned has resulted in a corresponding increase in road accidents, requiring the development of sophisticated methods for detecting and preventing accidents. This study provides a thorough examination of current technology and systems designed to reduce the consequences of road accidents. We analyze a diverse array of methodologies, including IoT-based systems, machine learning techniques, and sensor-based solutions. Although there have been notable advancements in accident detection, emergency response, and driver behavior analysis, there are still obstacles to overcome in terms of infrastructure, data protection, and practical use in real-world scenarios. The study highlights significant areas of research that have not been addressed and provides a clear plan for future research to improve the efficiency of accident detection and prevention systems. This article outlines the creation and use of a cutting-edge Automatic Speed Control System (ASCS) for cars, using up-to-the-minute geolocation data. The ultimate objective is to formulate all-encompassing approaches that use technology progress to provide safer conditions on roads

Ground zero · Nuclear physics · Physics · Autonomous Vehicle Technology and Safety · Computer Science · Fire Detection and Safety Systems · IoT and GPS-based Vehicle Safety Systems · Philosophy

Highly citedNo

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