Safety evaluation model for smart driverless car using support vector machine

摘要

Under the tide of artificial intelligence, automobile, the most commonly used means of transportation, is about to enter a new era of automation and driverless driving. Road testing of driverless cars designed by many companies in China and other countries has begun and is imminent. However, there is still a gap in the study of the legal adaptation of driverless vehicles, especially the existing road traffic safety laws for driverless enterprises. To promote the rapid application of new technology of driverless vehicles, this paper considers the influence of people, vehicles, roads and traffic management on driverless vehicles, and constructs a highway safety evaluation model based on support vector machine. In 2003, the model parameters were optimized to reduce the possible criminal dilemma of driverless vehicles. The simulation results show that the research has good theoretical value and practical space.