VR-simulator for Driver Training in an Urban Environment with Difficult Terrain and Meteorological Conditions

Abstract

The development of a hardware-software-information complex of a VR simulator for training drivers in the environment of a large city with difficult terrain and weather conditions has been studied using the example of Nizhny Novgorod. A three-dimensional model of the Oka exit to one of the city's bridges has been built. Based on the geometry of the model and accident statistics, the most dangerous sections of the road with small turning radii and a large elevation difference were identified. Based on the geometry of the model and accident statistics, the most dangerous sections of the road with small turning radii and a large elevation difference were identified. To develop automatic reaction in difficult conditions, the simulator used the following components: driving through difficult sections of the city, testing knowledge of traffic rules, demonstrating traffic accidents in case of violation of the rules and demonstrating how to act correctly. The simulator is planned to be used both for training novice and experienced drivers in a "live" environment of a real city, and for studying road conditions and alerting drivers in a dynamic mode about the traffic situation, the recommended safe speed in poor visibility conditions (fog, night) and under variable weather conditions (rain, snow, ice). that is, as a recommender system.