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| 交通控制子区划分方法研究 |
| Research on the Method of Division of Traffic Control Subzones |
| 投稿时间：2017-09-03 |
| DOI：10.16018/j.cnki.cn32-1650/n.201801014 |
| 中文关键词: 交通控制子区 模糊C均值聚类 车均延误 行车时间 Vissim |
| 英文关键词: traffic signal control sub-area fuzzy C-means clustering Vehicle delay travel time Vissim |
| 基金项目: |
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| 中文摘要: |
| 交通控制子区划分主要将相邻的众多交叉口划分为若干个交通子区进行干线协调控制，可有效缓解交通拥堵现象，但现有方法划分出的交通子区无法满足实际协调控制的准确性与鲁棒性。为解决这一难题，结合当前流行的划分技术，考虑4个影响因素:信号交叉口间距、交通流量、周期、通行能力，建立模糊C均值聚类划分方法，再通过实例，借助Vissim仿真软件，验证方法的适用性与可行性。Vissim仿真结果表明:与传统协调控制方法相比，方法可使系统车均延误时间减少27%，协调相位行车时间减少20%。 |
| 英文摘要: |
| The traffic control sub-zone divides the adjacent intersections into several traffic sub-zones for trunk coordination control, which can effectively relieve traffic congestion. However, the traffic subarea divided by the existing methods cannot meet the accuracy and robustness of actual coordination control. To solve this problem, combined with the current popular partitioning technology, 4 factors are considered: signal intersection spacing, traffic flow, cycle and traffic capacity. A method of fuzzy C-means clustering partitioning is established. The feasibility and validity of the proposed method is verified by an example using Vissim simulation software. Vissim simulation results show that compared with the traditional coordinated control method, this method can reduce the average vehicle delay time by 27%, and reduce the coordination phase travel time by 20%. |
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