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The Vehicle Collision Warning System Based on GPS

Se Hoon Kim, Sunghyun Lee, Inchan Yoon, Mija Yoon, Do‐Hyeun Kim

Open publisher page 6 citations

Abstract

In this paper, we developed the vehicle collision warning system that detects car crash and warns the danger to drivers in advance. This vehicle collision warning system is implemented by using sensors and GPS system. Collision detection algorithm, vehicle identification module and management of collision warning system are implemented. With simulation, this system could help to reduce traffic accidents of tourists and enable drivers to predict possible accidents as well as to prepare for them.

About this research paper

What this paper is about

In this paper, we developed the vehicle collision warning system that detects car crash and warns the danger to drivers in advance. This vehicle collision warning system is implemented by using sensors and GPS system. Collision detection algorithm, vehicle identification module and management of collision warning system are implemented. With simulation, this system could help to reduce traffic accidents of tourists and enable drivers to predict possible accidents as well as to prepare for them.

Why it matters

OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Main findings

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Limitations

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Applications

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Available abstract

In this paper, we developed the vehicle collision warning system that detects car crash and warns the danger to drivers in advance. This vehicle collision warning system is implemented by using sensors and GPS system. Collision detection algorithm, vehicle identification module and management of collision warning system are implemented. With simulation, this system could help to reduce traffic accidents of tourists and enable drivers to predict possible accidents as well as to prepare for them.

Key concepts: Collision, Global Positioning System, Crash, Computer science, Warning system, Identification (biology), Lane departure warning system, Real-time computing

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