Smart multi-agent traffic coordinator for autonomous vehicles at intersections

Intersections are not only a scene to daily car accidents (rear-end collisions and side impacts…) but also a big cause for anger and frustration to many drivers, making the driving task difficult and dangerous. In this research, we proposed a smart multi-agent system to coordinate traffic in intersections for autonomous vehicles using reinforced learning and deep neural networks, this system will offer the possibility for a safe and fast passage through intersections without the need for human control.

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