Cloud-Based Technologies: Enhancing Road Safety in Uttarakhand

Uttarakhand's challenging terrain and unpredictable weather contribute to a high incidence of road accidents, with 983 fatalities reported in 2024 alone. To overcome this disparity, we propose a cloud based application that focuses on collecting, analyzing, and distributing data in real time to improve the safety of roads in this area. The system will utilize various IoT sensors that track critical factors such as the speed of vehicles, their surrounding weather, and the condition of the roads. The collected data is sent to the cloud platform where its machine learning algorithms scan it for risk and alert the drivers through a mobile application. On a 50 km demonstration along National Highway, the system was able to detect 85% and warn drivers of the dangers that included sharp turns, possible landslides, and severe change of weather. User feedback indicated high satisfaction with the systems performance and ease of use for timely alerts. These result suggests that the application can aid in lowering the chances of road accidents in Uttarakhand as well as encouraging drivers to be more mindful of their surroundings.

Authors

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-05-23
DOI
https://doi.org/10.52783/jisem.v10i49s.9812
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Cloud-Based Technologies: Enhancing Road Safety in Uttarakhand

Sachin Raj Saxena
Journal of Information Systems Engineering & Management
Traffic Prediction and Management Techniques
article

Cloud-Based Technologies: Enhancing Road Safety in Uttarakhand

Sachin Raj Saxena
article en

Abstract

Uttarakhand's challenging terrain and unpredictable weather contribute to a high incidence of road accidents, with 983 fatalities reported in 2024 alone. To overcome this disparity, we propose a cloud based application that focuses on collecting, analyzing, and distributing data in real time to improve the safety of roads in this area. The system will utilize various IoT sensors that track critical factors such as the speed of vehicles, their surrounding weather, and the condition of the roads. The collected data is sent to the cloud platform where its machine learning algorithms scan it for risk and alert the drivers through a mobile application. On a 50 km demonstration along National Highway, the system was able to detect 85% and warn drivers of the dangers that included sharp turns, possible landslides, and severe change of weather. User feedback indicated high satisfaction with the systems performance and ease of use for timely alerts. These result suggests that the application can aid in lowering the chances of road accidents in Uttarakhand as well as encouraging drivers to be more mindful of their surroundings.

Journal of Information Systems Engineering & ManagementVol. 10(49s)
Openalex Percentile: Top 88%
Traffic Prediction and Management Techniques
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Cloud-Based Technologies: Enhancing Road Safety in Uttarakhand — Sachin Raj Saxena · Journal of Information Systems Engineering & Management (2025) | TGRS Research Map | TGRS