Study On Controllability Of Complex Network And Its Application In Transportation Network

The increase of traffic passenger flow year by year makes the problem of traffic congestion increasingly serious,so the traffic network needs to be controlled.Classical control theory cannot reflect the internal structure and connections of the system,and it is difficult to control large-scale,complex-structured networks.As a typical complex network,traffic networks are more suitable for research using the controllability of complex networks.This thesis combines the relevant theories of network science to address the controllability of the transportation network.The establishment of a transportation network model,a method for identifying control stations based on loading coefficient in the transportation network,and the characteristics oftwo-layer transportation network are studied as two aspects:(1)Control station identification of rail transport network based on loading coefficient is proposed.This method is mainly based on whether the actual passenger flow exceeds the rated load,and proposes a load factor to measure the degree of exceeding the rated load,using the load factor as a weight,and using The control node identification algorithm proposed in this thesis selects the node with the most overloaded passenger traffic for control,determines the stations in the transportation network that need to be artificially imposed with traffic limiting measures,and achieves complete control of the network at a small cost.Effectively solve the problem of traffic congestion.(2)An optimization network model of subway-bus double-layer transfer is proposed.This model considers the stations in the bus system that can be easily transferred by walking,and adds a short distance node pair on the basis of the traditional transfer model,and analyzes the static characteristics and controllability of the model based on Beijing bus and subway data The results show that the optimized model exhibits exponential distribution,good clustering,small-world characteristics,shorter average shortest paths,and higher accessibility of the model,indicating that the model can better combine the two modes of transportation,so passengers are traveling When considering the double-layer model,the transfer efficiency is higher,which has guiding significance for the choice of travel routes.