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基于时空特征的干线协调控制子区划分方法
引用本文:林皓博,周旦.基于时空特征的干线协调控制子区划分方法[J].城市道桥与防洪,2023(12):198-205.
作者姓名:林皓博  周旦
作者单位:桂林电子科技大学建筑与交通工程学院
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
摘    要:为应对干线交通流的时变性和空间分布差异性给干线协调控制带来的影响,本文提出了基于交通流时空特征的干线协调控制子区划分方法。首先利用交通流时间相关系数和空间相关系数分析交通流的时空特征,根据交通流的时间特征改进时段划分方法;引入相邻交叉口关联系数和不停车通过路口车辆数作为子区划分指标,在时段划分的结果上进行子区划分,以交通流的空间特征改进合并指数法,实现子区划分方案的更新。最后,以玉林市民主路为例验证该方法,结果显示,干线系统的总延误、车均停车延误时间、车均停车次数分别降低了19.5%、23.4%、16.7%,该方法比传统交通控制时段划分方法更能适应交通流的时空变化趋势,显著提高干线交通流的运行效率。

关 键 词:交通控制  时空特征  时段划分  子区划分  关联度
收稿时间:2023/1/14 0:00:00
修稿时间:2023/1/14 0:00:00

Subarea Division Method of Trunk Coordination Control Based on Spatial-temporal Characteristics
Lin Haobo.Subarea Division Method of Trunk Coordination Control Based on Spatial-temporal Characteristics[J].Urban Roads Bridges & Flood Control,2023(12):198-205.
Authors:Lin Haobo
Abstract:In order to deal with the influence of the time-varying traffic flow and the difference in spatial distribution on the trunk coordination control, a subarea division method of the trunk coordination control based on the spatial-temporal characteristics of traffic flow is proposed. Firstly, the correlation coefficients of temporal and spatial of traffic flow are used to analyze the spatial-temporal characteristics of traffic flow. The time period division method is improved according to the temporal characteristics of traffic flow. And then the correlation coefficient of adjacent intersections and the number of vehicles passing through the intersection without stopping are introduced as the subarea division indexes. The subarea division is carried out on the results of time period division, and the combined index method is improved according to the spatial characteristics of traffic flow so as to realize the update of the subarea division scheme. Finally, the practicability and effectiveness of the method is verified by taking Minzhu Road in Yulin City as an example. The results show that the total delay, average parking delay time and average parking times of the trunk system are reduced by 19.5%, 23.4% and 16.7% respectively. The method can better adapt to the spatial-temporal variation trend of traffic flow than the traditional traffic control time period division method, which significantly improve the operating efficiency of trunk traffic flow.
Keywords:traffic control  spatial-temporal characteristic  time period division  subarea division  correlation degree
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