The invention discloses a three-stage cooperative lane changing method for a vehicle
queue in a ramp diversion area in an
intelligent network connection environment, and the method comprises the steps: firstly, determining a safety gap of a target lane based on a minimum safety distance and a maximum deceleration, and selecting a vehicle which can change the lane to the safety gap from a CAV
queue for preferential lane changing; secondly, establishing a longitudinal
trajectory planning model based on self-adaptive
model predictive control, performing longitudinal distance adjustment on a lane-changed vehicle by using the model, and reversely calculating an initial position required by the vehicle to smoothly drive into a ramp based on a quintic polynomial
trajectory planning method; embedding into adaptive
model predictive control as a ramp
tail end constraint to form a new safety gap of the target lane; and finally, the vehicles which do not change lanes are controlled to sequentially change lanes to the corresponding safety gaps, and lane changing of the CAV
queue is achieved. According to the method, the CAV queue can efficiently and orderly drive into the exit ramp, the vehicle speed fluctuation of a
shunting area can be reduced, and the overall passing efficiency of a road section is improved.