HILLSIDE WHITE LINE ROAD SAFETY: IOT-BASED ACCIDENT PREVENTION SYSTEM

Abstract

Hilly and mountainous roads present significant safety challenges due to sharp curves, steep slopes, fog, poor visibility, and narrow lanes. These conditions frequently result in vehicle misalignment, lane deviation, and accidents, especially during night driving or adverse weather conditions. To address this issue, this project proposes a low-cost and efficient IoT-based Hillside White Line Road Safety System designed to enhance driver awareness and prevent accidents on curved hillside roads. The proposed system integrates Infrared (IR) sensors embedded along the roadside white line markings. These IR sensors detect vehicle movement and identify when a vehicle crosses or deviates from the designated white safety line. When such deviation is detected, a buzzer alert system is activated immediately to warn the driver, thereby reducing the risk of collision or falling off the roadside. The system is powered by rechargeable batteries, supported by an IR charging board for continuous and sustainable operation. This ensures reliable performance even in remote hill areas where conventional power supply may not be available. The system can be further connected to an IoT monitoring platform to log data and analyze accident-prone zones for future infrastructure improvement. The proposed model is cost-effective, energy-efficient, easy to install, and suitable for sharp turns and blind corners in hill stations. By combining smart sensing technology with enhanced white line markings, this project aims to significantly improve road safety and reduce accident rates in hillside regions.