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Obstacle Detection and Warning System for Hill Roads to Minimize Accidents

Authors: Muskan Nasir Dange; Sayli Jaywant Yadav; Rohit Arjun Jamdade; Sakshi Sharad Sawant; Shraddha Nitin Jamdade; Sangram Bajrang Koli;

Obstacle Detection and Warning System for Hill Roads to Minimize Accidents

Abstract

This paper presents a safety-oriented system designed specifically for accident prevention in ghat (hilly) road sections. The primary objective of the proposed system is to reduce accidents caused by limited visibility on sharp curves and narrow roads, where drivers are unable to detect oncoming vehicles from the opposite direction. High vehicle speed and lack of real-time information further increase the risk of collisions in such regions. To address these challenges, an embedded system based on the ATmega328 (or 8051) microcontroller is proposed. The system integrates multiple sensors, including IR or ultrasonic sensors for vehicle detection and a piezoelectric sensor for landslide detection. Additional components such as LED indicators, an LCD display, a GSM module, and a buzzer are incorporated for alert generation and communication. When a vehicle is detected at one end of the road, the system activates a warning signal using a flashing red light and alerts drivers, while a green signal indicates that the road is clear. In the event of a landslide, the system automatically triggers an early warning mechanism and closes safety gates to prevent vehicle movement, thereby reducing the risk of accidents. The proposed solution aims to enhance road safety and provide a reliable, real-time alert system for hilly terrains.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green