| A dynamic network system called "big-channel-in-the-sky" has a high density and quick flow of aviation flow.The cluster network of routes for civil aviation is now even better thanks to its opening.Few previous studies on the operation of air flow have described the spatial characteristics and effectiveness of dynamic traffic patterns of micro parts(such as flight segments)of air flow in complex dynamic networks.These studies have mainly focused on topological networks and macroscopic traffic patterns.To create an aviation flow network based on the intersection sites and directed edges of flight paths,this article uses three major passageways that have been constructed and put into use: Beijing-Kunming,Guang-Lan,and Hu-Lan.Track points/lines and kernel density are combined to identify hot spots.The prevalence and diversity of "big-channel-in-the-sky" are studied from two perspectives of flow pattern and flow efficiency based on terminal hot areas and route hot areas.The paper includes the terminal airspace diversion mode,the segment hot area flight path sharing mode,the segment hot area and terminal hot area conversion mode,the dominant flight path cluster mode,the flight phase long delay mode,and the commonality and diversity of the main detection channels as traffic modes.Based on distance/time efficiency and the multi-angle model of the flow model,efficiency discrepancies are examined.These are the outcomes that were attained:(1)To find the characteristics of hot zones,establish the air flow network.In order to form the air flow network,DBSCAN density clustering and track clustering function clustering are used to identify the intersection points and directed edges of the track cluster.The multidimensional data of the track data are used to better reflect the dynamic relationship of flow through the intersection points and directed edges of the track cluster.The boundary of hot areas was determined by the kernel density approach,and hot spots and hot paths were determined from point density and line density,respectively,by the air flow network.It was discovered that the route aggregation differentiation sites of multi-direction segment hotspots were primarily linked with "big-channel-in-the-sky" hotspots.Hot paths were mainly based on the hub airport and route segment aggregation area,and hot areas were mainly distributed in terminal airspace and route airspace.(2)There are many similarities and differences in the flow patterns between the terminal hot zone and the leg hot zone.The traffic patterns are analyzed from the aspects of diversion mode and flight path sharing mode,hot zone conversion mode,main navigation trace cluster mode and flight phase time absorption/delay.It is found that(1)the diversion mode of terminal hot zone: Beijing-Kunming terminal hot zone is divided into north-south unidirectional track cluster diversion mode,Guanglan terminal hot zone is divided into north-south multi-directional track cluster diversion mode,while Shanghai-Lanzhou terminal airspace is divided into multi-directional radial and track cluster diversion mode,and the accumulation of evacuation traffic in this mode makes it not produce hot zones.(2)Flight path sharing mode in the hot spot of the flight segment: both the hot spots of the Beijing-Kunming and Guangzhou-Lanzhou channels are separated from each other in the uplink and downlink flight paths,while the hot spots of the Shanghai-Lanzhou channel are separated-shared flight paths;At the same time,the diversity difference of different hot spots with time window is that Beijing-Kunming and Shanghai-Lanzhou are fixed hot spots while Guanglan is changeable at the top.(3)Comprehensive analysis of terminal hot zone and flight segment hot zone: There are diversity of hot zone conversion modes,and the Shanghai-Lanzhou and Beijing-Kunming channels mainly convert with flight segment hot zone,while the Guanglan channel mainly converts with terminal hot zone.From the analysis of the main navigation trace cluster mode,the hot zone of Guanglan terminal presents the leading mode of track cluster cooperation,while the hot zone of Beijing-Kunming and Shanghai-Lanzhou channel segments is the leading mode of single track cluster.From the analysis of time delay absorption mode in flight phase,the difference of flight duration and average speed of track clusters is caused by different flight phases.There are two modes: time delay mode in departure phase and arrival phase and time recovery mode in cruise phase.The above reveals the diversity of air flow network traffic patterns in hot areas.(3)Air movement efficiency varies between the leg hot zone and the terminal hot zone.First off,there are differences in the efficiency of terminal hot spots: multi-directional diversion can increase time efficiency while also causing some track clusters to have poor distance efficiency and large distance efficiency spans.Second,there are differences in time/distance efficiency in hot spots of different "big-channel-in-the-sky" : from the analysis of the sharing and separation modes of uplink and downlink paths of air flow,the sharing mode has a high frequency of track deviation from the flight section due to an excessive number of flight segments,an excessive number of track cluster intersection points,and a narrow flight path width,which decreases both time efficiency and distance efficiency.The thorough examination of the hot zone for the terminal and flight section concludes with: The analysis from the time delay recovery mode in flight phase shows that the distance efficiency and time efficiency of the airport hot zone are lower than those of the flight segment hot zone.Terminal hot zone is the time delay mode primarily in the departure and arrival phases,while flight segment hot zone is the time recovery mode during the transit phase.The time recovery option shortens the recovery period and increases distance and time efficiency,which are signs of airport congestion during the flight’s takeoff or landing phases.The above is the research result of the traffic pattern and flow efficiency in the hot area of the air flow network.Based on the investigation of the operation characteristics of the air flow in different "big-channel-in-the-sky",the detection of the difference of air flow operation can serve the airspace resource allocation of the major air corridors and enrich the information geography. |