Research on Dynamic Subdivision of Traffic Control Based on Improved Newman Algorithm
A traffic control subarea division method based on improved Newman algorithm was pro-posed.Considering the distance between intersections,queue length,travel time,path flow and sig-nal cycle time,the correlation between intersections was quantitatively analyzed.The signal correla-tion and path correlation between adjacent intersections were calculated,and the path-period correla-tion model between intersections was established.By improving the traditional Newman algorithm,the path-period correlation between adjacent intersections was taken as the edge weight,and the traf-fic control sub-area was dynamically divided according to the change of traffic state.Some road net-works in Qingshan District of Baotou City were selected to verify the model,and the different division results were simulated on Vistro and Vissim simulation software respectively.The results show that the method proposed in this paper is obviously superior to the current situation and the traditional Newman algorithm in terms of average vehicle delay,green wave bandwidth of parking times,service level,average vehicle delay and parking times,which proves the effectiveness of the sub-area division method.
intelligent transportationtraffic control system optimizationcommunity discoverysub-control-area divisioncoordinated control
万方数据
维普
