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.
Authors
- Sachin Raj Saxena
- Bhumika Gupta
- Devendra Singh (ORCID: https://orcid.org/0000-0002-4062-0576)
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