基于ALINEA算法快速路入口匝道单点动态控制

ALINEA-based On-ramp Traffic-responsive Local-metering Strategy for Expressway in Shanghai

在考虑匝道排队控制和控制阈值约束的前提下,基于ALINEA算法对武夷路上匝道进行动态控制.研究ALINEA算法参数设置目的,综合以往研究成果,分析相关采集数据,确定ALINEA参数设置;分析ALINEA经典排队模型,结合武夷路上匝道实际物理条件,提出匝道排队分段约束模型.分析匝道单点动态控制机理和武夷路匝控相关数据特征,构建控制阈值表;控制阈值表、ALINEA算法和匝道排队分段约束模型一起构成了武夷路上匝道单点动态控制策略.离线仿真结果证明了该策略不但平滑了匝道流量脉冲,而且提高了主线下游行车速度,解决了主线下游的拥挤.

An extension of the feedback local ramp metering strategy ALINEA is proposed for Wuyi on-ramp in Shanghai urban expressway network by taking ramp queue length and control threshold restriction into consideration. Based on ALINEA parameters study results and data analysis, the ALINEA parameters values are determined. During the rampmetering cycles, the queue length subsection constraint model is proposed for the ramp queue length to avoid exceeding the accepted queue length. The data analysis determines the control-threshold parameters and the Wuyi on-ramp controlthreshold table is then formed. So this local metering strategy for urban expressway includes ramp-model control threshold, ALINEA algorithm and queue length subsection constraint model. The off-line simulation results show the ramp metering strategy helps to overcome the urban expressway mainline downstream congestion and accelerate the mainline speed.