基于动态DCVS网络模型的流量分析及规划方法

针对目前机场远端行李运输目的地编码车系统未对流量进行规划而造成的资源浪费现状，提出了一种基于动态DCVS网络模型的流量分析及规划方法。该方法首先基于图论建立了DCVS静态网络模型，接着根据系统在特定时间段的流量需求，采用最大流最小时间动态流量分析和规划算法对DCVS资源进行动态调度。实验结果显示，该方法可以在很短的时间内完成对DCVS流量的整体分析和规划，实现远端行李运输任务的可行性预测，从而为DCVS资源的控制提供有效的参考依据。

A flow analysis and planning methodbased on dynamic DCVS network model

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.