Autonomous Vehicles with Swarm Intelligence for Traffic Management

What if self-driving cars could communicate with each other like a swarm of bees? Using swarm intelligence algorithms, autonomous vehicles could coordinate with each other in real-time to optimize traffic flow and avoid congestion. By using V2V (Vehicle-to-Vehicle) communication and machine learning models like Particle Swarm Optimization (PSO), these vehicles could collectively decide the best routes to take. This would reduce travel time and energy consumption, especially in urban areas. The key challenge would be ensuring secure and reliable communication between vehicles, but it could revolutionize how we think about traffic management.