In this paper, we consider the problem of sensor fault-tolerant control for vehicle platoon systems (VPSs). Considering the effect of sensor faults on the unknown nonlinear functions, a coordinate transformation is used to transform them into actual received signals for representation. On this basis, a neural adaptive sensor fault-tolerant control algorithm based on an event-triggered mechanism (ETM) is proposed by using the backstepping control method and adaptive radial basis function neural networks (RBFNNs) approximation technique. The designed algorithm can ensure that all signals in the closed loop are semi-globally bounded. Finally, the effectiveness of the proposed control scheme is verified by simulation results.