Dynamic Partition Methods Of Traffic Control Subarea For Urban Road Network Based On Data-driven

With the rapid development of urban economy,traffic congestion is increasingly serious along with the significant growth of car ownership.To coordinate and control the whole network directly is a challenge owing to the complexity and dynamic temporal change of urban traffic network.In order to reduce computational cost and improve control efficiency,the network is divided into several control subareas,and each sub-area is controlled by its own traffic coordination.Focusing on the shortcomings of the current classified indexes and methods,dissertation puts forward dynamic partition method to control sub-area which is based on the improved label propagation algorithm.The dynamic partition of consideration in the process of dividing intersection building based on the relational model in the index,and the correlation of intersection in urban traffic network importance as the search order,to realize the control of traffic network area dynamic partition.In characteristic analysis of traffic flow in urban transportation network,the traffic data are collected from loop detectors under the Sydney Coordinated Adaptive Traffic System(SCATS).Based on characteristic of traffic flow in space and time dimension,correlations were observed between adjacent intersections,which provide a theoretical basis for sub-area control partition.To evaluate the importance of urban transportation network nodes,dissertation constructs node importance evaluation and identification index system considering the traffic flow characteristic and complexity of traffic networks.Then analyzing the advantages and disadvantages of various objective weighting methods to determine the weight of identification indicators.Finally,Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS)was used to assess the importance of nodes.In terms of dynamic partition of control sub-areas in urban traffic network,factors such as flow,distance,cycle length,travel time and link density,and builds a correlation model of adjacent intersections by referring to flow correlation degree,cycle correlation degree and density correlation degree were taken into consideration.A dynamic subarea partition method with improved label propagation algorithm is proposed based on the importance of intersection.In this dissertation,some areas in Xihu district of Hangzhou are selected as experimental purposes to evaluate the control subarea dynamic partition method based on improved label propagation algorithm.The common merging index algorithm is used as the contrast experiment algorithm and different methods are evaluated by the index of module degree and the efficiency of regional coordination control.The results show that the dynamic partition method of control subarea proposed in dissertation can reasonably and effectively divide closely related intersections and sections in the traffic network into the same control sub-area.At the same time,the division result improves the regional coordinated control efficiency to some extent.