Taxi is a way to satisfy the high-level travel demands in Urban, and the rational layout of urban taxis will affect both taxi passengers’ travel experience and taxi drivers’ income. Too many taxis in some regions with few travel demands will cause waste of resources, while too few in some regions with lots of travel demands will affect the quality of taxi service. Taking the minimum waiting time as the objective, this paper establishes an optimization model considering the dynamic change of taxi travel demand with time, and genetic algorithm is used to solve the problem. The feasibility of the model is verified by a simulation example. The effects of taxi scale and travel time on the layout and average waiting time are discussed. Moreover, the method of determining the reasonable scale of taxi is given. The research results can provide theoretical support for the determination of urban taxi scale and reasonable spatial layout.

CICTP