Abstract: In order to make parking pricing strategy more effective in utilized equilibrium of parking resources and road resources, based on utility theory and disaggregate model, parking choice behavior model was set up, and the functional relationship between parking fee and parking flow was calculated. On this basis, the maximum parking choice utility was taken as decision target, the equilibrium of the parking occupancy rate and the road saturation were taken as constraints, and the optimization model of floating parking fee was set up. The optimization model was accomplished by sequential quadratic programming method, and the feasibility and validity of the model was verified by an example. The findings obtained from this study are as following:floating parking fee can actualize traffic assignment equilibrium and parking occupancy rate equilibrium, and the parking social benefits can be increased by 138%, compared to the fixed parking price strategy. The regulation effect of floating parking fee on parking system is better than that of the road system.