TThe driver's steering behaviour seriously affects the safety of vehicle rollover. In order to accurately analyse the influence of driver's factors on vehicle rollover stability

the driver model of cerebellar model articulation controller (CMAC) for anti-rollover is studied

and the influence law of driver parameters on vehicle rollover stability is analysed. According to vehicle rollover dynamic model

the vehicle rollover stability index and its reference value are deduced. The local neural network method of cerebellar model articulation controller is designed to simulate the driver's actual anti-rollover decision. And the fuzzy PID controller is used to simulate the driver's anti-rollover reference decision. The driver's anti-rollover response model is obtained based on above results

so the driver's analysis ability

driving frequency

learning ability

and reaction ability are characterized by parameters. The simulation results show that the driver with strong analysis ability

frequent driving

strong learning ability and strong reaction ability can effectively prevent vehicle rollover by making an appropriate steering wheel correction angle at the right time.