摘要
传统绿波协调信号控制是一种开环控制,无法根据交通需求的变化调整配时方案.为克服传统绿波协调控制的缺点,本文提出一种数据驱动交通响应绿波协调信号控制方法.首先,针对采用混合放行的路网,考虑到排队消散时间以及放行相序对优化结果的影响,给出一种适用于路网的混合放行最大绿波带优化模型;在此基础上,引进排队消散时间相符度指标、相序相符度指标和行驶速度相符度指标,实时评价、更新控制方案,实现非饱和情况下的数据驱动交通响应绿波协调信号控制.仿真研究表明,该控制方法能适应路网交通需求的变化,极大地提高了路网的通行能力.
The traditional green wave coordinated signal control is a open-loop control scheme, which can not adjust the timing plan according to varieties of the traffic condition. To overcome this shortcoming, this paper proposes a datadriven traffic-responsive green wave coordinated signal control method. Firstly, for the network needing mixed release phase plans, considering influences of queue dissipation times and traffic demands, a new bandwidth maximization model is proposed. Then, based on this model, online time plan evaluation and update schemes are proposed for under-saturation traffic conditions, where the queue dissipation time index, the phase plan index and the speed index are used to evaluate whether the current signal time plan is appropriate for the current traffic condition. The simulation study shows that our method could adapt to varieties of traffic condition and greatly improve the traffic capacity of road network.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
2016年第5期588-598,共11页
Control Theory & Applications
基金
国家自然科学基金项目(50908213
61075062)
浙江省自然科学基金项目(LY13F030007)资助~~
关键词
数据驱动
绿波协调
混合放行
信号控制
data-driven
green wave coordinated
mixed release
signal control
