Traffic Flow Hidden Measure and Assignment Model for the Uncertain Direction Military Traffic Network
非定向军事路网交通流隐蔽性测度及分配模型

We first revise the hidden measure method and analyze the three natures of the uncertain direction military traffic network such as the direction determinacy of the beginning and end points, the convertibility of the traffic network, and the direction after-determinacy of the center points. Then, we derive a traffic flow hidden measure and assignment model for the uncertain direction military traffic network, which could make up for two deficiencies of the old models, i.e., the same concealment value about the different flows even in the same conditions and the direction determinacy hypothesis of the whole military traffic network. Next, we propose a subsets algorithm to avoid the circle flow, which could appear during the computational process of the new model. At last, the above natures and circle flow phenomenon are proved by an example, in which the feasibility and the usability of the new model and method are also reflected.