Current Volume 9
Abstract
Road accidents and adverse weather conditions are major factors affecting transportation safety and causing loss of life and property. Early detection of unsafe driving conditions and timely emergency response are critical for reducing accident severity. This project proposes an IoT-based Accident Prevention and Weather Monitoring System that integrates smart sensors, microcontrollers, and real-time communication technologies. The system monitors vehicle parameters such as speed, obstacle proximity, and sudden impact to provide early warnings to drivers and prevent accidents. In the event of a collision, automatic emergency alerts with GPS location details are transmitted through IoT networks to enable faster rescue operations. In addition, environmental parameters including temperature, humidity, rainfall, and air quality are continuously monitored and uploaded to a cloud platform for real-time access. The system supports real-time data visualization through web or mobile platforms. The proposed solution reduces human intervention during emergencies and improves decision-making through continuous monitoring. Overall, the system contributes to safer transportation, reduced accident impact, and efficient traffic management in smart city environments.
Keywords
Internet of Things (IoT), Real-Time Accident Prevention, Integrated Weather and Vehicle Monitoring, Automatic Crash Detection, GPS-Based Emergency Alert System, Smart Sensor Fusion, Cloud-Based Monitoring, Intelligent Transportation System.
Citations
IRE Journals:
C Vyshnavi, A Lahari, B Keerthi, C Ramachandran "Accident Prevention and Whether Monitoring System Using IoT" Iconic Research And Engineering Journals Volume 9 Issue 10 2026 Page 3512-3520 https://doi.org/10.64388/IREV9I10-1716963
IEEE:
C Vyshnavi, A Lahari, B Keerthi, C Ramachandran
"Accident Prevention and Whether Monitoring System Using IoT" Iconic Research And Engineering Journals, 9(10) https://doi.org/10.64388/IREV9I10-1716963
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