針對高速公路交通這個復雜的非線性系統，提出一種基于對向傳播網絡的交通事件檢
測算法。闡述了對向傳播網絡的結構和學習算法，給出了事件檢測的依據，并合理地選擇了網絡的輸入參數，用高速公路管理部門提供的樣本數據進行了仿真研究。仿真結果表明，該事件檢測算法具有學習速度快、泛化能力好、檢測準確率高、平均檢測時間短等優點，具有良好的應用前景。
關鍵詞：高速公路；事件檢測；對向傳播網絡；算法
Abstract: Aiming at the complex and nonlinear system of freeway traffic, an incident detection
algorithm based on counter propagation network (CPN) is proposed. The structure and learning algorithm of CPN are formulated. Then the basis of incident detection is given, and the CPN input variables are selected reasonably. Simulation research is carried out with the sample data provided by the freeway administrative office. Simulation results show that this incident detection algorithm has such advantages as fast learning speed, good generalization ability, high detection rate and short mean detection time. It is found to be potentially applicable in practice.
Key words: freeway; incident detection; counter propagation network; algorithm