Research on the Optimal Project of Unmanned Vehicles with Complex Constraints

With the continuous and rapid development of China's social economy, the number of motor vehicles continues to show a rapid growth trend, and the number of road traffic accidents continues to rise. The inducible factors of road traffic accidents include weak road infrastructure, imperfect legal system, vehicle failure and improper driver operation, etc. Among them, improper operation of drivers is the primary cause of major and malignant road traffic accidents, so improving the quality of driving behavior is the key to curb the situation of frequent traffic accidents [6]. And this also puts forward higher requests for autonomous driving technology. This paper mainly studies the optimal project of complex constraints for autonomous vehicles. By studying the optimal control problem model established by vehicle motion planning, the collision discrimination method based on graph area was found, and the constraints of collision avoidance between rectangular vehicles were established. Among the rectangular, double circle and single circle vehicle models, the rectangular model has a better constraint effect in the scene.