The 20th and 21st joint COTA International Conference of Transportation Professionals (CICTP 2020-21)

Automated lane change is a challenging task due to simultaneous longitudinal and lateral vehicle control in high-speed dynamic environments. To guarantee safe and efficient lane change, a model predictive controller considering multi-constrains is presented in this paper. Safe driving space for the predictive driving environment and physical vehicle limitations is considered as a hard constraint to ensure safety. Inter-vehicle car-following distance is considered as a soft constraint to improve traffic efficiency. The algorithm proceeds to solve a convex quadratic program to obtain the optimal control input. Simulation with CARLA simulator proves that the lane changing and car-following model with the constraints improves the driving comfort and lane change efficiency. Combined with lane changing safety distance constraint and car following safety distance constraint, this algorithm considers dynamic characteristics of vehicles, solves the problem of no solution of trajectory planning of other models, and realizes the adaptive adjustment of lane changing safety and efficiency in different scenarios.

CICTP