Jeyashree, A and Bavithra, K and Sowmiya, M and Archana, D and Subash Kumar, C S (2021) Automatic Vehicle Accident Indication and Reporting System for Road Ways Using Internet of Things. International Journal of Safety and Security Engineering, 11 (3). pp. 269-277. ISSN 20419031
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Abstract
In India, transport becomes a basic commodity of daily life. As transportation starts increasing, safety has become a major concern for consumers. This paper mainly aims at reducing the fatalities caused due to accidents occurring in roadways. In general, many lives could be saved if emergency service could get accurate accident location and rescue the injured people at the minimum possible time. The Internet of Things has revlontinsed the modern world in recent times. As Global Positioning System has become an integral part of any vehicle system, this effective method is utilized to monitor the location of vehicles and send accident locations to an Accidents Monitoring and Rescue Services Centre (AMRSC) using GSM. The Accelerometer located in the vehicle system gives the live status of the vehicle position while the vehicle is in motion. Whenever an accident occurs, the signal from the accelerometer is fed to the controller. The Node MCU controller is programmed to check whether the accident has occurred and given the information to the user and AMRSC as soon as possible. Now, the system will also send the accident location acquired from the GPS along with the vehicle details through the GSM network to AMRSC. After receiving the alert message from the infected user vehicle system, the rescue team will reach the accident location as soon as possible by reading the data from the server.
Item Type: | Article |
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Subjects: | A Artificial Intelligence and Data Science > Artificial intelligence C Computer Science and Engineering > Image Analytics C Computer Science and Engineering > IoT and Security |
Divisions: | Electrical and Electronics Engineering Electronics and Communication Engineering |
Depositing User: | Users 5 not found. |
Date Deposited: | 22 Apr 2024 09:14 |
Last Modified: | 22 Apr 2024 09:14 |
URI: | https://ir.psgitech.ac.in/id/eprint/388 |