SAFE CONTROL OF VEHICLE COMBINATIONS

Abstract: computer systems and methods are provided for training a machine learning model to determine a safe torque allocation for a vehicle combination and for determining a safe torque allocation. one system is configured to perform a plurality of simulations for motion of the vehicle combination based on a plurality of torque allocations and operating points, classify each simulation as safe or unsafe, and train a machine learning model using the classified simulations. one system is configured to receive torque allocations and an operating point of a vehicle combination, and output, using the trained machine learning model, one or more safe torque allocations.

Inventor(s): Lukas WISELL, Sander VAN DAM, Mikael KIEU, Kartik SHINGADE, Umur ERDINC, Esteban GELSO, Maliheh SADEGHI KATI, Dhasarathy PARTHASARATHY

CPC Classification: G06N20/00 (Machine learning)

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