基于免疫理论的车联网的城市路网实时容量研究

已有路网容量研究不能解决实时路网容量计算问题，难以掌握实时路网中的实际运行车流；传统的路网容量算法基本是离线处理或通过人工调查进行理论计算，很难解决实时路网容量的难题，为此，提出了一种基于免疫理论的车联网城市路网实时容量新方法。该方法将免疫网络理论引入车辆自组织网络，利用抗体识别抗原的原理，完成通信链路检测，同时，可以通过统计抗原抗体识别对获取路网中的车流，不仅解决了实时性问题，还解决了传统方法需要建立准确数学模型的难题。选取了实际路网中的区域进行验证，实验结果与传统方法获取的路网容量非常接近，证明了该方法的有效性。

Study on Real-Time Urban Road Network Capacity Based on Vehicular Self-Organization Network with Immune Network Theory

The road network capacity lays foundation of the intelligent transportation systems for develo-ping the carrying capacity of road networks; it’ s no doubt important for traffic control, traffic guidance and traffic demand management. However, the existed work can not entirely solve the problem of real-time calculation of road network capacity, however, it is difficult to control the actual operation traffic flow by traditional road network algorithm, which is a theoretical calculation based offline processing or a survey carried out by manual. A new road network capacity method was proposed based on the vehicular self organization network based immune network theory. The theory completes communication link detec-tions between vehicles and infrastructure, and then the antigen-antibody statistics can be performed for computing vehicles in the network when thinking the principle of antibody recognized antigen. The pro-posed method not only solves the real-time problem, but also solves the problem of the traditional methods requirements to establish an accurate mathematical model. Finally, an actual road network was selected for experimental verification. Experiments are very close to the capacity obtained with the traditional, and prove the effectiveness of the proposed method.