Urban agglomeration traffic network reliability restoration method under random attack strategy

Abstract

The invention relates to the traffic network field, and specifically relates to an urban agglomeration traffic network reliability restoration method under a random attack strategy. The urban agglomeration traffic network reliability restoration method under a random attack strategy includes the steps: 1) constructing an urban agglomeration traffic network model; 2) performing cascade failure simulation on the urban agglomeration traffic network; and 3) being an urban agglomeration traffic network reliability restoration method based on an improved binary particle swarm algorithm. The urban agglomeration traffic network reliability restoration method under a random attack strategy considers the characteristic that the load changes following the state of a restoration node, analyzes the process that all the normal nodes in the network share the load of pause nodes, thus being able to more objectively describe the urban agglomeration traffic flow phenomenon. As the urban agglomeration traffic network reliability restoration method under a random attack strategy provides a fine disturbance operator and a speed chaotic searching operator, the known fine degree is improved and also the known global searching capability is improved. Moreover, a restoration constraint operator enables all the particles to be feasible solution, thus guaranteeing high efficiency and simplicity of the algorithm, so that the restoration constraint operator is applied to urban agglomeration traffic network restoration to maximally restore the reliability of the urban agglomeration traffic network.

Description

technical field [0001] The invention relates to the field of transportation networks, in particular to a method for repairing the reliability of urban agglomeration transportation networks under a random attack strategy. Background technique [0002] With the continuous development of urban agglomerations, various transportation networks in urban agglomerations are becoming more and more complex, and the challenges faced by the reliability of transportation networks are increasing. Once a station in the urban agglomeration transportation network faces a major natural disaster, the load of the node changes, causing the passenger and cargo flow in the station to flow to other stations, which in turn causes the load of the remaining stations to be too large to cause the station to fail, thus forming a vicious circle. As a result, the transportation efficiency will be greatly reduced, seriously affecting the normal production and living safety of the people. Therefore, how to u...

AI Technical Summary

Problems solved by technology

In addition, the above methods all consider that the load exceeds its capacity, and the node will fail

However, in the actual traffic network, nodes often still have certain redundant capabilities.

At this moment, the operating efficiency of the node is low, and the state of the node corresponds to the suspended state, but the current research on traffic network restoration has not considered this situation

And there is no research on repairing a node to bring the suspended node back to normal

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