Achieving Zero Collision Probability in Vehicle Platooning under Cyber Attacks via Machine Learning

摘要

In view of system reliability, extraction of knowledge from models of artificial intelligence may be more important than their forecasting ability. The elaboration of rules found by intelligible analytics gives here insight into the problem of packet falsification in vehicle platooning.