Conflict Avoidance and Landslide Update of Vehicles in Deep Curves

Author(s)	Ms. Bhargavi K C, Ms. Bhavana S, Ms. Harshitha G H, Ms. Keerthana B V
Country	India
Abstract	This project aims to reduce accidents on curved roadways, especially in hairpin bends and narrow roads. It uses IR sensors connected to an Arduino Uno microcontroller to detect vehicles and alert drivers via an LCD display. Motor-operated gates control traffic flow, allowing safe passage when conditions are clear. The system also monitors landslides and heavy rainfall using accelerometer and rain sensors. If hazardous conditions are detected, the system warns drivers and closes gates until the road is safe. By improving vehicle detection, collision avoidance, and traffic management, this system enhances safety on challenging, high-risk road segments.
Keywords	hairpin curves, Accidents, Deep curves, Machine learning.
Field	Computer > Electronics
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-04-19
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.39099
Short DOI	https://doi.org/g9f4t2

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research