A system for managing self-driving cars on complex road sections, particularly in mountainous terrain, has been developed at the Gagarin Saratov State Technical University. The main goal of the development is to increase the speed of traffic without compromising safety. The new software model takes into account the forces acting on the car, such as gravity, traction, and centripetal force, which allows for more accurate calculation of speed on turns and identification of dangerous road sections.
A feature of the model is the consideration of the transverse slope of the road, which distinguishes it from existing solutions that do not take into account the interaction of self-driving cars in the flow. The system integrates with intelligent transport systems, transmitting data on the speed of cars through the network, which allows for a more accurate assessment of road capacity and the formation of strategies for identifying dangerous areas.
The system uses geometric parameters of the road, data on the condition of the road surface, and parameters of the traffic flow. Information can be transmitted in real time using telematics, providing operational management of unmanned vehicles.
Read materials on the topic:
Ученые ВолгГТУ создали «умную» подвеску для автомобилей
Беспилотные КамАЗы начали применять на нефтегазовых месторождениях на Ямале
АвтоВАЗ планирует внедрить беспилотные технологии в свои новые автомобили