Collision warning at intersections based on V2V

What is it about?

Accurate collision prediction algorithms are important to provide drivers reliable warning messages. This study introduces a novel approach for collision prediction at intersection areas. The algorithm involves the use of an index called ‘Minimal Future Distance (MFD)’, which is defined to be a future distance between the subject vehicle and the primary other vehicle, and a two-level dynamic threshold for preforming the collision prediction task.

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Why is it important?

The combined use of vehicle real-time state and road geometry in the algorithm significantly increased the collision prediction accuracy. Furthermore, the use of dynamic thresholds ensured the promptness and robustness of the collision warning system.