| Title |
An IoT-based Framework of Vehicle Accident Detection for Smart City |
| ID_Doc |
36417 |
| Authors |
Tasgaonkar, PP; Garg, RD; Garg, PK |
| Title |
An IoT-based Framework of Vehicle Accident Detection for Smart City |
| Year |
2024 |
| Published |
Iete Journal Of Research, 70, 5 |
| DOI |
10.1080/03772063.2023.2239757 |
| Abstract |
Smart sensors have revolutionized the world with their capability of capturing physical parameters. The sensors provide vital data to the monitoring station in the applications of environment, disaster management, transportation, etc. A framework is built up with an Internet of Things-based approach that detects vehicle accident with the sensors and the information is stored and monitored on the Thingspeak cloud. The alert is raised whenever an accident occurs to the vehicle with the help of an accelerometer, ultrasonic sensor, and GPS. The message of the real-time coordinates is transmitted with the communication module. The monitoring station takes the necessary action by recognizing the accident occurred and providing the emergency services to the hotspot immediately. The integrated approach will be beneficial as it will detect any mishap with the vehicle and facilitate the emergency help to the passengers in the vehicle. The proposed framework will be beneficial for saving the human life in any smart city. |
| Author Keywords |
Accelerometer; Cloud computing; GPS; Internet of Things; Smart city |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001041400900001 |
| WoS Category |
Engineering, Electrical & Electronic; Telecommunications |
| Research Area |
Engineering; Telecommunications |
| PDF |
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