| Arterial signal coordination control method has long been favored by traffic managers to improve the efficiency of urban operations,reduce drivers’ delays,and reduce the amount of tailpipe emissions generated by vehicles queuing at intersections.However,most of the existing arterial signal coordination control models are based on a single phase pattern,and the optimization of offset is considered the focus of research,with less consideration for the optimization of the combination of multiple phase patterns and multi-path progression optimization.Therefore,based on the summary and analysis of existing research,this article aims to address the shortcomings of existing research.Arterial coordination control method is studied with the phase sequence and phase pattern as the research object,and the main research contents are as follows:(1)From the theoretical research of arterial green wave coordination control method,the influence factors and design basis of arterial green wave coordination control method are analyzed,basic control parameters and evaluation indicators are determined,and arterial green wave coordination control method’ setting process that adapts to real road operations is introduced.Taking Kunlunshan South Road in Qingdao City as a case study,the on-site traffic data was investigated.The adaptability of implementing arterial coordination control on the road section is judged,and the traffic status of Kunlunshan South Road in Qingdao City is analyzed and evaluated with VISSIM simulation software.(2)By analyzing the advantages and disadvantages of different arterial coordination control methods,an asymmetrical multiband model with phase pattern and phase sequence optimization(AM-BAND-PBAND model)is proposed based on the AM-BAND model and PBAND model to address the shortcomings of the traditional maximum green wave band model in which the green wave bandwidth is symmetrical along the center line,and the phase sequence is optimized based on the overlapping phase pattern,which limits a larger green wave bandwidth.The model takes the maximum green wave bandwidth as the optimization objective,cancels the symmetric bandwidth constraints,and divides the green wave bandwidth in the outbound and inbound directions into two components along the green wave bandwidth progression line.Taking overlapping phase pattern and split phase pattern as the research objects,two 0-1 variables are introduced to achieve the selection of overlapping phase pattern or split phase pattern between adjacent intersections,and two 0-1 variables are introduced to achieve overlapping phase sequence arrangement,and three 0-1 variables are introduced to achieve split phase sequence arrangement.The location of the queue clearing time is on the green wave bandwidth progress line and it increases constraints on the queue clearing time and the edge of the green wave band.(3)By analyzing the advantages and disadvantages of different arterial signal coordination control models in terms of multi-path progression,a multi-path progression model for arterial traffic flow with phase pattern selection and phase sequence(PM2-BAND model)is proposed to address the problems of paths between adjacent intersections having the same bandwidth through each intersection and the fixed phase pattern and phase sequence.the PBADN model,Yang’s second model,and Li’s second model are selected as the basis.The proposed model provides the possibility of obtaining greater green wave bandwidth for multi-path traffic flows.The model consists of two parts.The first part emphasizes the phase pattern selection and the initial phase sequence determination to the through traffic flow in the coordinated direction of the arterial line,namely,the improve PBAND model.The second part emphasizes the simultaneous optimization of phase sequence and offsets to adjust the turning traffic flow in the branch direction and the traffic flow in the coordinated direction of the arterial line,namely,the arterial multi-path green wave model.(4)Taking Kunlunshan South Road in Qingdao City as a case study,the AM-BAND-PBAND model and PM2-BAND model were solved separately,and VISSIM was used for simulation analysis.The simulation results confirmed the effectiveness and superiority of the above models. |