Real-Time Cloud Based Systems for Instant Hazard Detection and Alerts of Uttarakhand's Roads

Abstract

Road networks are highly prone to natural risks such as landslides, flash floods, and rock falls due to bund rugged terrains for Uttarakhand, located in the northern part of India. To improve road safety, this study presents a real-time hazard detection and alert mechanism using cloud services. During the movement of the vehicle, its relative position using GPS is monitored along with other parameters through IoT sensors. Machine Learning runs algorithms to determine the level of threat and the system automatically notifies the drivers, emergency services, law enforcement and relevant bodies via the cloud. The designed system model ensures low latency, unprecedented increase in these parameters. Therefore, they make timely intervention and lessen the possibility of accidents. A pilot implementation is recommended to validate the system's efficiency and applicability for the state of Uttarakhand.