Traditional fixed signal timing often leads to issues such as green light empty and residual queue at intersections. Traffic signal induction control can automatically adjust signal timing based on vehicle arrivals, but it still struggles to handle immediate control of special traffic events like long queue, exit overflow and intersection deadlock. Furthermore, it does not account for the impact of intelligent connected new energy vehicles (ICNEVs). So we propose an improved method for intersection multi-events traffic signal induction control in ICNEVs. The method involves deploying various types of detectors at intersections to identify events like green light empty, long queue, exit overflow, and intersection deadlock. Establish the induction control logic rules corresponding to different events, and consider the permeability optimization control parameters of ICNEVs at intersection. Finally, the proposed method is validated using real intersection data through the VISSIM traffic simulation software. The results demonstrate that the method effectively reduces the average queue length and delay at intersections. It also reveals that the higher the permeability of ICNEVs, the better the performance of intersection induction control.