Research On Control Strategy Of Urban Traffic Network Based On Different Traffic Congestion Degrees

With the rapid development of modern cities,the urban transportation system has become more and more complex,people’s travel needs are also increasing.However,urban roads are relatively difficult to expand due to limited space and congestion.Traffic congestion may cause social problems such as inefficiency of urban road traffic network operation and traffic safety,which in turn hinders economic development.In many metropolis,such as Beijing,New Delhi,urban traffic congestion has become a challenging problem that needs tackling urgently.Traffic congestion is also an example of the butterfly effect,where even a single road congestion in a very large transportation network,if not managed properly,can cause enormous damage to society as a whole.This paper takes the urban road traffic network as the research object.In the context of smart transportation,it is assumed that the vehicles driving on the urban roads are all unmanned vehicles,which can avoid the interference of human factors.The city is divided into different areas,each area is set with a control center,the control center sends signals to the vehicles driving in the area to inform the driving vehicles of some information,including the surrounding driving environment,road driving and road congestion.When the driving vehicle obtains the information of the road congestion ahead in advance,it can re-plan the route to avoid the congested road section and reduce the possibility of large-scale congestion.When the vehicle does not obtain the information in time,it may fall into the dilemma of traffic congestion.At this time,it is necessary to allocate resources by the control center according to the degree of road congestion,so as to solve the traffic congestion in the shortest time.The main research work of this paper includes: establishing a congestion propagation model based on idle capacity of edges.In order to be more in line with the characteristics of urban road traffic network,this paper considers the idle capacity of edges,and establishes a congestion propagation model based on the idle capacity of edges,which explains the propagation law of urban roads after congestion occurs.Through this model,the possible impact scope of urban road congestion can be found,including the scale of congestion,the degree of congestion,and the failure locations of congestion nodes and edges;According to the different congestion degrees of the urban road network,different control strategies are established,and the optimal maintenance resource allocation of the congested road network can be obtained.Based on the congestion degree obtained by the above congestion propagation model,the degree of urban road congestion is classified,and different control strategies are adopted for different degrees of congestion,which can obtain the optimal allocation of maintenance resources.Among them,this paper divides the congestion degree of urban road network into two categories,namely slignt congestion and severe congestion.When the road is slightly congested,it involves the allocation of maintenance resources within the control center in a certain area.And when the road is severely congested,it involves the allocation of maintenance resources within the control center between two or more areas;This paper verifies the proposed model through case analysis,and can obtain the order of personnel scheduling,the order of clearing the congested nodes,the shortest completion time,etc.under different congestion levels,which can minimize the economic loss caused by congestion and clear the fastest speed.road so that the vehicle can operate normally.