Impact of Cycle Length Difference of Adjacent Intersections on Correlation Degree Index
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摘要: 详细分析了相邻信号交叉口周期时长差异对关联度的影响机理;以2个交叉口为例, 选取典型实验场景, 采用数值仿真的方法获取所需数据, 建立了周期时长差异的归一化方法以及与关联度指标的关系模型, 确定了可以将相邻2个交叉口划入同一子区执行信号协调控制的关联度阈值.之后以福州市中心区2个相邻信号交叉口为例对模型进行验证, 结果表明了所建立模型的有效性.该模型能随交叉口状态变化动态计算周期时长差异对关联度的影响, 为子区动态划分服务.Abstract: The impact mechanism of cycle length difference of adjacent intersections on correlation degree index ( CI) was analyzed. Then took two signalized intersection as example, typical experimental scenarios were selected and the required traffic data were generated based on simulations. The relation models between normalized index of cycle length difference and CI in two coordinated directions were developed respectively. The threshold value of CI that could partition adjacent intersections into one subarea was determined. At last, by taking two adjacent intersections that located in Fuzhou city as example, the model was validated and the results show that the model was effective. The model can quantify the impact of cycle length difference on CI dynamically with the change of intersection traffic states and provide theoretically support to dynamic subarea partition.
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