Year: 2024
Type: article
Abstract: The increasing number of road accidents and the need for efficient traffic management systems have led to significant research in advanced technologies aimed at enhancing highway safety. The Internet of Things (IoT) presents a promising solution for real-time monitoring and preemtive safety measures on highways. This paper proposes an IoT-enabled Highway Safety Pre-Warning System designed to provide early warnings to drivers about potential hazards, such as accidents, roadblocks, or sudden weather changes. The system utilizes a network of interconnected sensors, cameras, and communication devices placed strategically along highways to collect and transmit data related to traffic conditions, road quality, vehicle speed, and environmental factors. The information is then processed through a central server and communicated to vehicles, traffic management centers, and emergency responders in real-time. The goal of the system is to reduce the likelihood of accidents and improve response times to incidents, ultimately enhancing the overall safety and efficiency of highway traffic. Key components of the system include vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication protocols, predictive analytics, and dynamic alert mechanisms. This paper also discusses the challenges, such as data privacy, system scalability, and integration with existing infrastructure, as well as the potential impact of this IoT-enabled safety system on reducing fatalities and improving traffic management.
Author: Soumya Singh
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405333536