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Research On Airport Key Crush Spot Identification And Taxi Path Optimization

Posted on:2022-11-13Degree:MasterType:Thesis
Country:ChinaCandidate:L Y ZhangFull Text:PDF
GTID:2492306752981769Subject:Master of Engineering (in the field of Transportation Engineering)
Abstract/Summary:PDF Full Text Request
For most airports,when the aircraft flow is large,conflicts are likely to occur in the maneuvering area.On the one hand,there are potential safety hazards.On the other hand,solving the conflicts that have occurred will consume a lot of time,manpower and financial resources,affect the subsequent aircraft sliding,and even cause chain congestion and huge losses.In order to improve the operation efficiency of the maneuvering area and reduce the occurrence of taxiway conflicts,this paper first abstracts the taxiway system and constructs the complex network of the taxiway system.Taking the Shijiazhuang Airport as an example,the static topology of the complex network of the taxiway system is analyzed in combination with the operation mode of the maneuvering area,and the Gephi software is used to calculate the values of the three characteristic indicators of the medium,degree and tight centrality of each node in the taxiway system network,And analyze the significance of the three characteristic indexes to the network,use the analytic hierarchy process to calculate the weight of the three characteristic indexes,sort the importance,and identify the key points of the complex network of Shijiazhuang Airport taxiway system.These key points often have large flow and are located in the center of the taxiway system network structure.Conflicts at these key points will affect the overall traffic capacity of the taxiway system network,resulting in reduced operation efficiency of the mobile area.In order to explore the conflict points that have an impact on the overall operation,Anylogic is used to conduct multi-agent simulation experiments to dynamically identify the conflict points of Shijiazhuang Airport taxiway system.By comparing the location of the key points and the conflict points,and comparing the consistency of the flow through the nodes and the attributes of the nodes,it is found that the identified key points are highly correlated with the conflict points.Based on the experimental results,Key conflict points are defined as points with both static key point characteristics and dynamic conflict point characteristics of network topology.The definition and identification of key conflict points can help controllers find the positions that need to be focused on,help reduce control risks,and play a role in conflict prevention.Based on this,the key conflict points are shunted to reduce the probability of conflict at the key points,which can achieve the purpose of improving the traffic capacity of the entire taxiway system network,and then the dynamic conflict avoidance path planning is carried out with the goal of minimizing the conflict at the key points.Then,on the basis of single aircraft path planning,taking the minimum conflict of key points as the constraint,the collision avoidance path planning of multiple aircraft is carried out.Finally,the experimental simulation and data analysis are carried out by using the Anylogic software again,combined with the real data of Shijiazhuang Zhengding International Airport during the peak hours of a day.The results show that the strategy of avoiding key conflict points can achieve the purpose of diversion of key conflict points,reduce the total taxiing time and conflict times of aircraft during the period,and verify the effectiveness of this method.
Keywords/Search Tags:Complex network, Key point discriminate, Conflict exploration, Path planning, Anylogic simulation
PDF Full Text Request
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