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.　©　2018,　Editorial　Department　of　Journal　of　Beijing　University　of　Technology.　All　right　reserved.