Abstract:

The road network capacity lays foundation of the intelligent transportation systems for developing 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 detections 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 proposed 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.

Key words: real-time capacity of road networks, immune network theory, vehicular self organization network