This paper analyzed the applicable conditions of the Green-Wave traffic theory, used two-phase signal control concept to optimize the Green-Wave traffic theory, put forward specific program for cross intersections and...This paper analyzed the applicable conditions of the Green-Wave traffic theory, used two-phase signal control concept to optimize the Green-Wave traffic theory, put forward specific program for cross intersections and T-intersections. The analysis concluded that the optimized Green-Wave traffic theory is favorable to improve road safety and reduce vehicle fuel consumption and reduce vehicle emissions and other aspects.展开更多
为实现城市路网区域绿波控制,基于经典的MULTIBAND-96模型,以绿波带宽度为优化目标,建立了路网子区信号协调控制Asymmetrical Multi-Band model for network(AM-BAND-N)模型,将子区划分方法与信号协调控制相结合,通过绿波协调控制,来实...为实现城市路网区域绿波控制,基于经典的MULTIBAND-96模型,以绿波带宽度为优化目标,建立了路网子区信号协调控制Asymmetrical Multi-Band model for network(AM-BAND-N)模型,将子区划分方法与信号协调控制相结合,通过绿波协调控制,来实现区域的最优信号协调控制.以武汉市洪山区6*3路网为例进行VISSIM仿真,结果表明:该子区划分的绿波协调控制模型与经典绿波控制模型相比能显著降低系统延误时间和停车时长,提高行程速度,大大提高了整体交通服务水平.展开更多
文摘This paper analyzed the applicable conditions of the Green-Wave traffic theory, used two-phase signal control concept to optimize the Green-Wave traffic theory, put forward specific program for cross intersections and T-intersections. The analysis concluded that the optimized Green-Wave traffic theory is favorable to improve road safety and reduce vehicle fuel consumption and reduce vehicle emissions and other aspects.
文摘为实现城市路网区域绿波控制,基于经典的MULTIBAND-96模型,以绿波带宽度为优化目标,建立了路网子区信号协调控制Asymmetrical Multi-Band model for network(AM-BAND-N)模型,将子区划分方法与信号协调控制相结合,通过绿波协调控制,来实现区域的最优信号协调控制.以武汉市洪山区6*3路网为例进行VISSIM仿真,结果表明:该子区划分的绿波协调控制模型与经典绿波控制模型相比能显著降低系统延误时间和停车时长,提高行程速度,大大提高了整体交通服务水平.
