<p>The traditional intermittent bus lane (IBL) control method allows excessively connected and automated vehicles (CAVs) to borrow lane for driving, causing additional bus delays. This study proposes an intermittent bus lane control method based on lane restrictions for vehicles in intelligent connected environment, using the distance between adjacent buses to limit the number of vehicles permitted to borrow the lane to drive. A CAV lane-changing control model is developed based on headway, safety distances to preceding and following vehicles, and bus operational interference factors. A model predictive control (MPC) controller is implemented to regulate vehicle trajectories during lane changes. The SUMO simulation results indicate that the proposed control method is well-suited for high CAV penetration traffic environments. Compared to dedicated bus lane, the control method prevents additional bus delays, improves average road travel speed, and reduces vehicle travel time. Compared to the traditional intermittent bus lane control method, the proposed method increases the average bus travel speed by 25.50% and reduces bus delays by 23.31% under medium and high traffic flow conditions. This demonstrates that the intermittent bus lane control method based on lane restrictions better aligns with bus priority strategies, serving as an optimized improvement to the IBL approach.</p>