Vehicle Classification And Counting System Based On VC++ And MATLAB

With the development of society and economy, the traffic system became more and more complex. In the interest of providing the management of traffic system with real-time traffic information to achieve efficient management and make full use of the traffic system. We investigate a vehicle classification and counting system.In this system we have designed a core algorithm based on vehicles noise, the concrete realization thought is: firstly, we on-line collect the vehicle noise, intercept the effective part of the noise by using endpoint detect method, and then extracting model parameter from AR spectrum analysis with Burg method, sending the parameter to the trained BP Neural network for classification, at last, calculating out the number of each vehicle model. The software system was constructed by VC++ and MATLAB. Because the core algorithm of the system was completed with MATLAB, it is facile to update the algorithm. Compared with the traditional vehicle classification method, this system has the advantages of shorter developing cycle, lower cost and easier to achieve.At present, the system is suitable for single-lane and small flow of highway, can be more accurate to identify the basic models on the road.