As a key component of the current automotive industry and global intelligence, intelligent vehicles play a crucial role in the entire intelligent system. To explore the key technologies for achieving autonomous driving in intelligent vehicles, researches on the lateral and longitudinal control methods of vehicles have been conducted. By utilizing the vehicle’s kinematic, dynamic models, and tire models, the lateral and longitudinal control of intelligent vehicles is analyzed. A decoupling strategy is adopted to simplify control complexity, ensuring that the vehicle travels safely along the predetermined path. To guarantee the stability of the vehicle in motion, research on longitudinal control is strengthened to optimize the management of vehicle speed. The study of vehicle coupling control aims to overcome the problems caused by vehicle coupling effects, optimizing the precision of lateral and longitudinal control. The advantages and disadvantages of various related control algorithms are summarized, and future development directions for the lateral and longitudinal control of intelligent vehicles are proposed, including deepening the research on lateral control algorithms to enhance safety, optimizing longitudinal control to ensure motion stability, and improving the precision of coupling control to enhance overall control effectiveness.

Autonomous driving  /  Vehicle model  /  Horizontal and longitudinal control  /  Control Algorithm