中文摘要：

考虑交叉口群交通关联特征,本文提出了交叉口群信号协调控制范围动态划分方法.为响应实时交通需求,采用交叉口通行能力利用率指标识别道路网络中的瓶颈区域.根据协调系数与不均衡系数两类路段关联度指标,搜索瓶颈区域的影响范围.应用自组织映射神经网络,作为路段关联度＂强＂与＂弱＂的临界划分工具.使用二分法逐步缩小搜索范围,断开关联度较弱的路段连接,在余下的连通网络中继续分类直到满足交叉口群协调控制规模约束的大小为止.仿真结果表明,交叉口群范围的合理划分有助于提高路网信号协调控制的效率.

英文摘要：

The Dynamic scope identification method for intersections group is proposed based on the traffic correlations between the neighboring intersections. The intersection capacity utilization index is adopted to indentify the bottleneck area in the road network according to the real-time traffic demand. The influence scope of the bottleneck area is searched by the traffic correlation measurements, namely the coordinatability factor and the imbalance index. The intersection correlation intensity is divided by the self-organizing map into two sets, the strong and the weak. The bisection method gradually reduces the searching range by disconnecting the weak link before the limited scope of coordination control is reached. Simulation result of an illustrative example shows the intersections group scope identification helps to improve the efficiency of network coordination control.