The parking problem in central urban areas is closely related to the problem of traffic congestion, and is also related to the problem of park and ride (P+R). Traffic flow, on-street parking and P+R need to be studied in a unified model. To this end, a dynamic optimization model of parking and P+R in the city center with traffic flow is established. The short-term optimal flow rate model takes into account that on-street parking spaces will reduce the road space of normal driving vehicles, and cruise parking will cause congestion with other vehicles. Therefore, it is necessary to speed up on-street parking turnover rate and cordinate on-street parking resources and traffic flow management. The short-term parking capacity model uses the Stackelberg game: on the basis of the government"s pursuit of the smallest total social cost and the private operator"s pursuit of the largest profit, travelers seek the smallest travel cost for users. Studies have shown that under the condition of fixed demand, with the increase of vehicle parking time, on-street parking fees and P+R parking fees are constantly decreasing, on-street parking capacity is continuously decreasing, and P+R parking capacity is continuously increasing. Explain that if you choose short-term parking or temporary parking, you can choose on-street parking; and if you choose long-term parking, you can choose P+R parking. When the demand is far greater than the supply, on-street parking will evolve into lane control.