Abstract
In this paper, the traffic area of subzone division in urban road network is studied and a subzone division method based on the combination of static partition and dynamic partition is proposed. The static partition is carried out for the road network when the traffic flow is in a noncongested state, so as to provide the decision-making basis for the traffic green wave signal control strategy. At the same time, aiming at the road network when the traffic flow is congested, the dynamic partition is carried out on the basis of static partition to provide the decision-making basis for the traffic maximum flow signal control strategy. In view of the fact that it is difficult to determine the clustering center point during the initial division, this method proposes to determine the clustering center point according to the value of nodes of betweenness centrality. In order to solve the problem that it is difficult to collect traffic data, a method for estimating traffic flow density is proposed. In order to solve the problem of normalization of different probability distribution among various parameters, Mahalanobis distance is used as the fusion index of subzone division. Model verification shows that the method is feasible and effective.
Highlights
With the development of cities, the construction of urban road network becomes more and more complicated and turns into an extremely huge and complex network system
Once one part of the control system fails, the whole system will break down. is will shut down the network coordination control at all intersections in the entire urban road network, greatly reducing the safety and reliability of the traffic signal control system [3]. ird, the urban road network is so huge and complex that different traffic areas may be in different traffic conditions at the same time, which will bring trouble to the optimal timing of traffic signal control at intersections [4]. e best way to tackle the above problems is to divide the traffic area into subareas of the urban road network
With the development of intelligent transportation, the static division method of traffic area subareas is no longer enough to meet the functional requirements of modern intelligent road network. erefore, it is very necessary research work to find a method that can dynamically partition the urban road network in real time
Summary
With the development of cities, the construction of urban road network becomes more and more complicated and turns into an extremely huge and complex network system. Ird, the urban road network is so huge and complex that different traffic areas may be in different traffic conditions at the same time, which will bring trouble to the optimal timing of traffic signal control at intersections [4]. In the study of subarea partition, the traditional method is static subarea division based on the historical traffic flow data of the road network. Once the traffic signal control subarea is formed, the number of subareas in the road network and the intersections contained in each subarea will be fixed for a long time. With the development of intelligent transportation, the static division method of traffic area subareas is no longer enough to meet the functional requirements of modern intelligent road network. With the development of intelligent transportation, the static division method of traffic area subareas is no longer enough to meet the functional requirements of modern intelligent road network. erefore, it is very necessary research work to find a method that can dynamically partition the urban road network in real time
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