Research on Intelligent Vehicle Collision Warning Model Based on Intervehicle Communication

الملخص EN

Using inter-vehicle communication, vehicle real-time traveling state information, such as acceleration, is shared, and time-to-collision and time-to-avoidance matrices are established.

Considering driver type and traveling relationship between leading vehicle and following vehicle, a collision warning model based on inter-vehicle communication is studied.

From aspects of inter-vehicle experiment system composition, component modules are analyzed in detail.

For leading vehicle stationary, sudden deceleration, and normal traveling, three experimental schemes are proposed, and model warning performance is verified using the experiment system.

Experiment results show that the algorithm model can effectively identify the collision, and precise warning rate is more than 90%.

Conclusion of the study can provide a reference for research in relevant fields, such as vehicle adaptive cruise control.