Abstract: In order to improve the traffic efficiency of vehicles in traffic road network, a multi commodity flow back pressure routing control strategy based on virtual vehicle communication network data is proposed. Firstly, the road network composed of on-board wireless network nodes was used for the implementation of the road and vehicle information collection. In order to improve the real-time and forward-looking routing control, here introduce traffic flow forecasting methods to construct the virtual vehicle queue. And then the multi commodity flow backpressure routing method was put forward, and vehicle adaptive routing control strategy was designed. According to the status of traffic pressure, the improvement on the back pressure strategy weight is realized, which could enhance the ability to adapt to backpressure routing algorithm parameter optimization. Finally, simulation experiments show that the proposed method can be more effective in traffic vehicles controlling and the traffic smoothness can be improved.

Key words: Vehicular network, virtual vehicle, multi commodity flow, back pressure routing; adaptive, traffic control

摘要： 为提高交通道路网中车辆的通行效率，提出一种采用车辆通信网络数据信息的多商品流（车流）背压路由控制策略。首先，利用车载无线网络节点组成的道路网，进行实时路况和车辆行驶信息采集，为提高路由控制的实时性和前瞻性，引入车流预测方法，构建虚拟车辆队列，然后提出多商品流（车流）背压路由方法，设计了自适应路由的车辆控制策略，并根据交通压力状况对背压策略权重进行改进，利用可优化参数实现背压路由算法适应能力提升。最后，通过仿真实验，显示所提方法能够更有效的对交通车辆进行控制，提高交通顺畅性。

关键词: 车辆通信网络, 虚拟车辆, 多商品流, 背压路由, 自适应, 交通控制