Traffic Collison Avoidance or Minimization by Supercomputer Assist in 5G/6G

Traffic collisions involving autonomous vehicles can be greatly reduced by timely initiation of evasive action. However, calculating a suitable sequence of actions capable of avoiding or minimizing the collision may require the speed of a supercomputer. Therefore, disclosed is a method for the autonomous vehicle to transmit an emergency message with sensor data to a nearby access point in 5G or 6G, and the access point can forward the data to a supercomputer trained in collision avoidance. The supercomputer, millions or billions of times faster than vehicle computers, explores many sequences of actions and selects the one most likely to avoid the collision or if unavoidable, the sequence of actions that results in the least harm. Again using an exclusive channel, the supercomputer and the access point can relay the selected sequence to the autonomous vehicle, for immediate collision avoidance or harm minimization.