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为提升关联交叉口群信号控制的性能,针对关联交叉口群各交叉口关联性强的特点,采用小波变换对关联交叉口群各进、出口的交通检测流量数据进行分解、降噪、重构,并利用系统聚类方法识别关联交叉口群的关键路径;最后应用南京市广州路某交叉口群的实测数据对模型的可靠性进行了检验。结果表明:该模型识别的交叉口群关键路径与实际情况相符;该关键路径识别方法受外界干扰小,适用于各种交通状态,拥有较高的运算效率和可靠性,可作为关联交叉口群信号控制优化的基础。
In order to improve the performance of signal control at the intersection, this paper uses wavelet transform to analyze the traffic detection traffic data of each intersection and exit for the correlation of intersections at the intersection. , And use the system clustering method to identify the critical path of the intersection group; Finally, the reliability of the model is tested by using the measured data of a intersection group in Guangzhou Road, Nanjing. The results show that the critical path of intersection group recognized by this model agrees with the actual situation. The critical path identification method is suitable for all kinds of traffic conditions due to its small external disturbance. It has high computational efficiency and reliability and can be used as an intersection The basis of signal control optimization.