Ensuring the Safety of an Autonomous Object, Taking Into Account the Movement of Other Road Users

The article is devoted to modeling a subsystem to ensure the safe movement of an autonomous object. The influence of other vehicles on safety is considered. To determine the position of various traffic participants, it is proposed to predict their position after a certain time interval. Vehicle location data can be obtained from local sensors. Global positioning is used when building a route for an autonomous object. To ensure the processing of large amounts of data, it is proposed to use neural networks. They can perform real-time calculations, which is important for autonomous operation. A combination of neural networks is used to predict the position of objects and to select a safe trajectory. This makes it possible to take into account the possible exit of vehicles moving along the sidewalk onto the carriageway. The simulation was carried out in the C# programming language