Vehicle Accident Prevention During Overtake Using IoT System

Jakkagalla Sathish; G Mohan Krishna; Kashavena Harshavardhan; Kathraji Pawan Kalyan; Konkali Dayanandhu

doi:10.36948/ijfmr.2026.v08i02.73539

Vehicle Accident Prevention During Overtake Using IoT System

Author(s)	Mr. Jakkagalla Sathish, Mr. G Mohan Krishna, Mr. Kashavena Harshavardhan, Mr. Kathraji Pawan Kalyan, Mr. Konkali Dayanandhu
Country	India
Abstract	The rapid increase in vehicular density and the subsequent rise in road fatalities have necessitated the development of advanced driver-assistance systems (ADAS) to mitigate human error, which remains the primary cause of traffic accidents. Overtaking is globally recognized as one of the most hazardous maneuvers, often resulting in high-impact head-on collisions due to limited visibility, blind spots, and inaccurate human judgment of oncoming traffic speed. This paper presents the design and implementation of an IoT-based intelligent system for vehicle accident prevention during overtaking. The proposed system utilizes a multi-sensor fusion approach, integrating LiDAR, ultrasonic sensors, and high-definition cameras to monitor the vehicle’s surrounding environment in real-time. At its core, an ESP32- based microcontroller processes spatial data to calculate the safe distance and time- to-collision parameters required for a successful maneuver. By leveraging Internet of Things (IoT) connectivity and Vehicle-to-Vehicle (V2V) communication, the system allows nearby vehicles to exchange position and velocity data, creating a localized network of situational awareness. A fuzzy-logic-based control algorithm is implemented to categorize the overtaking environment into safe, caution, or danger zones, providing instantaneous haptic and auditory alerts to the driver when risks are detected. Furthermore, the IoT framework enables cloud-based data logging, allowing for the analysis of near-miss patterns to improve future autonomous driving algorithms. Simulation and prototype testing demonstrate that the proposed system significantly reduces decision-making latency and improves overall road safety compared to manual observation.
Keywords	Blind Spot Monitoring, Arduino Uno, Real Time Alert System Intelligent, Transportation System
Field	Engineering
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-04-05
DOI	https://doi.org/10.36948/ijfmr.2026.v08i02.73539

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Vehicle Accident Prevention During Overtake Using IoT System

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