A Driving Risk Prediction Approach Based on Generative Adversarial Networks and VANET for Autonomous Trams

Driving safety is an essential prerequisite to the rapid development of autonomous trams. However, the relationship of driving risk factors is nonlinear, which makes modeling difficult. To improve the accuracy of driving risk prediction, a data driven approach based on Generative Adversarial Networks was proposed. First of all, a communication and alarming scenario of Vehicular Ad-hoc Networks was...