A prediction system based on vehicle sensor data in automated highway

This paper describes a prediction system, which allows the evaluation of collision and reducing risks in the automatic control of truck platoons on highways. In a real time context, this study aims at predicting the time that remains to a follower truck to overflow one of the collision or risk reduction limits. On the basis of this predicted time, and of the truck dynamics and temporal characteristics, this prediction system must deliver an alarm when the overflow probability exceeds a predefined threshold, and thus, the transition to the manually operated mode will be activated. The prediction system uses the linear trend of sections of the inter-truck signal. This linear trend model is obtained by an interval method.