Algorithm Optimization of Computer Simulation Vehicle Driving Simulation System Based on Virtual Reality Technology

The traditional automobile driving simulation system has the problems of low calculation efficiency and lack of realism. The traditional automobile driving simulation system with low computational efficiency and lack of realism limits the learning effect. Through virtual reality technology, vehicle driving can be simulated. By optimizing the algorithm of simulating vehicle driving simulation system, the preference of testers for driving style is investigated and the driver's preference style is determined. Finally, through the automatic driving simulation test method based on genetic algorithm, the key scenes can be divided into 11 different types, and the Euclidean distance of these 11 types is analyzed. Most drivers prefer a more conservative autonomous driving style. When analyzing 11 key scenario types, the Euclidean distance between scenario 2 and scenario 3 is the smallest, which is 33 m, and the maximum Euclidean distance between scenario 6 and scenario 11 is 91 m. The difference between scene 2 and scene 3 is the smallest, while the difference between scene 6 and scene 11 is the largest, and there are differences between each scene. Through virtual reality technology and algorithm optimization, the performance and user experience of driving simulation system are improved.