Work

A Highway Secondary Accident Prevention System based on FFT Analysis of Vehicle Collision Sounds

Year: 2025

Type: article

Abstract: This study introduces a highway secondary accident prevention system that employs Fast Fourier Transform (FFT) analysis of vehicle collision sounds. The system is designed to identify abnormal acoustic patterns produced during collisions and skidding events, enabling faster and more accurate accident detection than traditional methods. When a crash is detected, visual warning signals are instantly sent to nearby vehicles using LED devices powered by a photovoltaic panel and an energy storage system (ESS). Experimental results showed 100% detection accuracy during independent playback of collision, skidding, and driving sounds, and 80% accuracy during simultaneous playback. These results confirm the system's ability to effectively differentiate accident-related sounds and deliver timely alerts. This research offers an innovative and environmentally sustainable approach to enhancing highway safety and reducing the societal and economic consequences of secondary accidents.

Source: Journal of the Korean Society for Precision Engineering

DOI: 10.7736/jkspe.025.037

Authors: Minki Jung, Young Shin Cho, Yongsik Ham, Joong Bae Kim

Language: English

Topic: IoT and GPS-based Vehicle Safety Systems

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: diamond

Funders: Ministry of Trade, Industry and Energy, Korea Institute for Advancement of Technology, Korea Institute of Energy Technology Evaluation and Planning

Awards: G4289274185, G6813216807