Because of the problems in the actual operation of urban taxis, for example, unbalanced space and time distribution, low dispatching efficiency. the taxipooling dispatching is studied.Introducing the concept of meeting-points, a dynamic dispatching optimization network is built by means of the space-time method. The taxipooling dispatching model of route optimization is established based on the objective function of minimum the time of taxi operation and passengers’ travel (including the ride and waiting time), meanwhile the constraints of passenger’s time window, taxi capacity and other related constraints are considered to maximum the service level of taxipooling. In view of the characteristics of the model, a corresponding hybrid ant colony genetic algorithm (HACGA) is designed to solve it. The example analysis shows that the effectiveness of the HACGA in solving the rate optimization model is verified by many calculations. At the same time, compared with the taxi single ride, the taxipooling strategy based on the route optimization pattern can greatly reduce the total demand for taxis, and the total operating mileage of the taxis is also significantly reduced.