An IoT Cloud System for Traffic Monitoring and Vehicular Accidents Prevention in Uttarakhand

The ongoing traffic challenges in Uttarakhand ne- cessitate innovative solutions. This paper proposes an Internet of Things (IoT) cloud-based system designed to tackle real-time traffic monitoring and accident prevention in the region. By utilizing mobile traffic sensors installed in private and public vehicles, the system collects real-time data. The OpenGTS and MongoDB are used to process this data, allowing for prompt detection of congestion, automated rerouting, and identification of potential accident hotspots. A systematic analysis, including pilot testing, indicates the effectiveness and efficiency of the proposed system, showcasing a significant enhancement in road safety and traffic management. The implementation of this technology represents a substantial step towards modernizing the region’s transportation infrastructure and could set a precedent for similar applications in other areas.

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Publication Details

Journal
Nanotechnology Perceptions
Published
2024-11-04
DOI
https://doi.org/10.62441/nano-ntp.vi.4023
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

An IoT Cloud System for Traffic Monitoring and Vehicular Accidents Prevention in Uttarakhand

Sachin Raj Saxena, Bhumika Gupta, Devendra Singh
Nanotechnology Perceptions
Traffic Prediction and Management Techniques
article

An IoT Cloud System for Traffic Monitoring and Vehicular Accidents Prevention in Uttarakhand

Sachin Raj Saxena, Bhumika Gupta, Devendra Singh
article en

Abstract

The ongoing traffic challenges in Uttarakhand ne- cessitate innovative solutions. This paper proposes an Internet of Things (IoT) cloud-based system designed to tackle real-time traffic monitoring and accident prevention in the region. By utilizing mobile traffic sensors installed in private and public vehicles, the system collects real-time data. The OpenGTS and MongoDB are used to process this data, allowing for prompt detection of congestion, automated rerouting, and identification of potential accident hotspots. A systematic analysis, including pilot testing, indicates the effectiveness and efficiency of the proposed system, showcasing a significant enhancement in road safety and traffic management. The implementation of this technology represents a substantial step towards modernizing the region’s transportation infrastructure and could set a precedent for similar applications in other areas.

Nanotechnology Perceptions
Openalex Percentile: Top 75%
Traffic Prediction and Management Techniques
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An IoT Cloud System for Traffic Monitoring and Vehicular Accidents Prevention in Uttarakhand — Sachin Raj Saxena, Bhumika Gupta, et al. · Nanotechnology Perceptions (2024) | TGRS Research Map | TGRS