[Purposes] In order to solve the problem of mixed driving of automated cars (AC) and human driven cars in the intersection area of urban expressway exit ramp connection, [Methods]a control method for urban expressway exit ramp connection intersection based on improved ALINEA algorithm is proposed. A vehicle delay model including lane change delay and signal delay in the ground road connection area is constructed, and the optimization objective is to minimize the total delay. The optimization control model for urban expressway exit ramp connection intersection based on ALINEA algorithm is constructed with the number of lanes, signal cycle length, and queue length as constraints. Based on SUMO software, a road network simulation model was established, and sensitivity analysis was conducted on factors such as the number of ramp lanes, the number of connecting area lanes, and the length of connecting area in 12 scenarios.[Findings]The research results showed that under ALINEA control, the average speed of the expressway mainline and connecting intersections was significantly increased, with the best improvement effect at AC penetration rates of 0.4 and 0.6. The average delay and maximum queue length of vehicles were significantly reduced, with maximum reduction rates of 12.4% and 12% at p 0.4 and 14.2% and 13% at p 0.6, respectively.[Conclusions]Sensitivity analysis shows that the proposed control model can be applied to different traffic scenarios, and the control effect is better in scenarios with moderate penetration rate, long connection area, and fewer lanes in the connection area. The research results can provide reference for the traffic optimization in the connection area of urban expressway off ramp.