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Research On Transit Recovery Strategies For Urban Rail Transit Network In Case Of Operational Failures

Posted on:2024-02-06Degree:MasterType:Thesis
Country:ChinaCandidate:L L QinFull Text:PDF
GTID:2542307088992359Subject:Engineering Management
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As more and more people pour into large cities,urban traffic congestion has become a more common phenomenon.Urban rail transit has become the most effective mode of transportation to solve urban transportation problems because of its large capacity,low pollution and high punctuality.At present,the rail transit of 26 cities in China has reached the scale of the line network of more than 100 kilometers,basically forming the framework of the urban rail transit network,and China’s urban rail transit operation has entered the era of networking.There is a high degree of coupling between the stations and lines of the urban rail transit system,and various sudden operational faults have brought great challenges to the emergency handling capacity of the urban rail transit system.Accurately assessing the criticality of each station and section and the recovery strategy after network failure is of great significance to the operation and maintenance of rail transit.Based on the complex network theory,this paper constructs the rail transit network as a network model composed of stations and intervals,introduces the actual running time of inter-station trains as the edge weight,and compares the network performance indicators such as degree,degree distribution,average path length and diameter of Zhengzhou rail transit network.Identify critical sites and segments in the network by simulating changes in network efficiency when a single site or segment fails;An urban rail transit network recovery model is constructed with the maximum value of network resilience as the objective function and the number of restoration resources as the constraint.The genetic algorithm is used to solve the optimal recovery strategy under different fault conditions,and provide decision-making assistance for the operation and maintenance of urban rail transit network.The conclusions are as follows:The intersection of the centerline network and the branch network,the intersection of the branch network and the branch network are the key stations in the network,and the criticality of the interval is related to the criticality of the connected stations.The introduction of edge rights does not change whether a site is a key site,but only changes its key order.The restoration order of the station is determined by the location of the rail transit network,and the irreplaceable branch network transfer station has priority restoration;The recovery order of the interval is determined by its position in the network and the duration of the recovery process,and the interval with no alternative path on the branch in the event of a failure,and the interval with a short recovery duration is the priority recovery object.When both the site and the compartment fail at the same time,the compartment is prioritized to be restored;The increase in recovery resources does not change the order of recovery priorities for sites or compartments,and the maximum resiliency of the network is not proportional to the number of recovered resources.
Keywords/Search Tags:Complex networks, Network efficiency, Network resilience, Recovery strategy, genetic algorithm
PDF Full Text Request
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