In order to solve the resource waste problem caused by lack of flow planning in the destination coded vehicle system (DCVS), we present a flow analysis and planning method based on dynamic DCVS network model. Firstly, we build a static DCVS network model using graph theory. Then, according to the package flow demands during a particular time period the flow analysis and planning method based on minimum time and maximum flow algorithm is applied to realize the dynamic DCVS resources scheduling. Experimental results show that this method can accomplish the overall flow analysis and planning of DCVS in a very short period, and achieve a reliable prediction for remote airport baggage transportation, thus providing an effective reference for DCVS resource control.