On using Machine Learning Algorithms for Motorcycle Collision Detection

arXiv:2403.09491v1 Announce Type: new
Abstract: Globally, motorcycles attract vast and varied users. However, since the rate of severe injury and fatality in motorcycle accidents far exceeds passenger car accidents, efforts have been directed toward increasing passive safety systems. Impact simulations show that the risk of severe injury or death in the event of a motorcycle-to-car impact can be greatly reduced if the motorcycle is equipped with passive safety measures such as airbags and seat belts. For the passive safety systems …

abstract accidents algorithms arxiv car collision cs.lg death detection however impact machine machine learning machine learning algorithms math.ds rate risk safety show simulations systems type vast