基于有序样本聚类的大城市主干道绿波交通信号控制方法  

Green-wave Traffic Signal Control Method for Major Urban Trunk Road Based on Ordered Sample Clustering

作　　者：朱华 李良艳 ZHU Hua;LI Liang-yan(Shenzhen General Integrated Transportation and Municipal Engineering Design&Research Institute Co.,Ltd.;Municipal Engineering Consulting Center Co.,Ltd)

机构地区：[1]深圳市综合交通与市政工程设计研究总院有限公司 [2]深圳市市政工程咨询中心有限公司

出　　处：《智能建筑与智慧城市》2023年第5期161-163,共3页Intelligent Building & Smart City

摘　　要：为了提高城市主干道路口日常(非高峰期)的车辆通行率,本文提出一种基于有序样本聚类的大城市主干道绿波交通信号控制方法。根据有序样本聚类算法,划分交通信号相位,计算公共周期、绿信比、相位差等信号灯调控参数,通过以上参数实现主干道绿波交通信号控制方法。检验数据表明,本文方法可以有效降低车辆的停车速度与停车延误,提高了主干道的车辆通行率。In order to improve the daily(off-peak period)traffic rate of urban trunk road junctions,a green-wave traffic signal control method of urban trunk road based on ordered sample clustering is proposed in this paper.According to the ordered sample clustering algorithm,the traffic signal phase is divided,and the control parameters of traffic lights such as public period,green signal ratio and phase difference are calculated.The green wave traffic signal control method of main road is realized through the above parameters.The test data show that the proposed method can effectively reduce the stopping speed and delay of vehicles,and improve the traffic flow rate of main roads.

关 键 词：有序样本聚类 城市主干道 绿波带 绿波带交通信号 交通信号调控 控制方法 损失函数 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置] U495[自动化与计算机技术—控制科学与工程]