In the real-world situation, the demands from customers are often received during the day of operation, and therefore the static route plan may not be able to meet the need. In this context, different dynamic dispatching strategies have been proposed in this paper. We focus on choosing adaptive strategies under different demand patterns, with temporal and spatial characteristics. Our dynamic dispatching strategy consists of a routing policy and a dispatching policy. In this study, we consider NN (Nearest Neighbor) as a simple routing policy. In combination with the route policy, five real-time dispatching policy (Basic, Reposition, Diversion, DDR, and DFR) are proposed. A simulation model is constructed for generating different scenarios of demand patterns for testing, and the results show that each strategy performs differently in the measured objectives.