摘要 :
Currently the one-to-one coupling between the air traffic controller and all the aircraft under his/her control is seen as a key-limiting factor in capacity growth. The trend towards overcoming this problem is too put the controll...
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Currently the one-to-one coupling between the air traffic controller and all the aircraft under his/her control is seen as a key-limiting factor in capacity growth. The trend towards overcoming this problem is too put the controller in a more standby and supervisory role. Placing the responsibilities for the routing of the aircraft and the safeguarding of separation of aircraft in the hands of pilots and airline operations, and by automating part of the routine tasks of the controllers, the controllers will be freed up from routine duties. They should then, in a supervisory manner, be able to focus more on issues like traffic management, overall system safety, and handling exceptional situations. This paper explores the applicability of this paradigm in advanced air traffic management.
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摘要 :
Currently the one-to-one coupling between the air traffic controller and all the aircraft under his/her control is seen as a key-limiting factor in capacity growth. The trend towards overcoming this problem is too put the controll...
展开
Currently the one-to-one coupling between the air traffic controller and all the aircraft under his/her control is seen as a key-limiting factor in capacity growth. The trend towards overcoming this problem is too put the controller in a more standby and supervisory role. Placing the responsibilities for the routing of the aircraft and the safeguarding of separation of aircraft in the hands of pilots and airline operations, and by automating part of the routine tasks of the controllers, the controllers will be freed up from routine duties. They should then, in a supervisory manner, be able to focus more on issues like traffic management, overall system safety, and handling exceptional situations. This paper explores the applicability of this paradigm in advanced air traffic management.
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摘要 :
Air traffic control (ATC) is one of the most important methods for the safety of air traffic. The majority data of ATC system is correlative with geographic factors, includes real-time position of aircrafts, all sorts of radar dat...
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Air traffic control (ATC) is one of the most important methods for the safety of air traffic. The majority data of ATC system is correlative with geographic factors, includes real-time position of aircrafts, all sorts of radar data, geographic coordinate of airports, absolute altitude, lane, weather information, the distribution of no entry areas etc. All the data must be analyzed and processed, and the ATC stuff can use the results to give correct orders. The Geographical Information System (GIS) provides the synthetic information integrated from both the Geographical data and the corresponding identity data so that the GIS may provide a better quality for the visualization and the safety in the air traffic control. This paper introduces the system design and the employed technologies of our developed GIS-based Multifunctional ATC System. The employed methods for digital topographic maps, surface objects, air lanes, air control areas and no entry areas were described. We also introduced the functional designs for the display, control, alarming, the assistant decision-making and the intelligent error correction. We finally discussed our future development of the Air Traffic Control System.
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摘要 :
Air traffic control (ATC) is one of the most important methods for the safety of air traffic. The majority data of ATC system is correlative with geographic factors, includes real-time position of aircrafts, all sorts of radar dat...
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Air traffic control (ATC) is one of the most important methods for the safety of air traffic. The majority data of ATC system is correlative with geographic factors, includes real-time position of aircrafts, all sorts of radar data, geographic coordinate of airports, absolute altitude, lane, weather information, the distribution of no entry areas etc. All the data must be analyzed and processed, and the ATC stuff can use the results to give correct orders. The Geographical Information System (GIS) provides the synthetic information integrated from both the Geographical data and the corresponding identity data so that the GIS may provide a better quality for the visualization and the safety in the air traffic control. This paper introduces the system design and the employed technologies of our developed GIS-based Multifunctional ATC System. The employed methods for digital topographic maps, surface objects, air lanes, air control areas and no entry areas were described. We also introduced the functional designs for the display, control, alarming, the assistant decision-making and the intelligent error correction. We finally discussed our future development of the Air Traffic Control System.
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摘要 :
The Traffic Management Advisor (TMA), the sequence and schedule tool of the Center/TRACON Automation System (CTAS), was evaluated at the Fort Worth Center (ZFW) in the summer of 1996. ^This paper describes the challenges encounter...
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The Traffic Management Advisor (TMA), the sequence and schedule tool of the Center/TRACON Automation System (CTAS), was evaluated at the Fort Worth Center (ZFW) in the summer of 1996. ^This paper describes the challenges encountered during the various phases of the TMA field evaluation, which included system (hardware and software) installation, personnel training, and data collection. ^Operational procedures were developed and applied to the evaluation process that would ensure air safety. ^The five weeks of field evaluation imposed minimal impact on the hosting facility and provided valuable engineering and human factors data. ^The collection of data was very much an opportunistic affair due to dynamic traffic conditions. ^One measure of the success of the TMA evaluation is that, rather than removing TMA after the evaluation until it could be fully implemented, the prototype TMA is in continual use at ZFW as the fully operational version is readied for implementation. ^(Author)
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摘要 :
Workloads of air traffic controllers (ATCOs)
tend to be increasing by recent dense traffic. To
mitigate the workloads, investigation of present
ATCOs' workloads is required. The objective of
this paper is to visualize ATCOs' w...
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Workloads of air traffic controllers (ATCOs)
tend to be increasing by recent dense traffic. To
mitigate the workloads, investigation of present
ATCOs' workloads is required. The objective of
this paper is to visualize ATCOs' workloads and
interpret ATCOs' skills. We investigate ATCOs'
tasks and classify them into four task levels,
correlated with RPD (Recognition-Primed
Decision) model. Then, we conducted a Realtime
ATC simulation to analyze the results and
propose a new tabulated expression for the task
levels. This expression proved that our method
can express ATCOs' workloads.
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摘要 :
Workloads of air traffic controllers (ATCOs) tend to be increasing by recent dense traffic. To mitigate the workloads, investigation of present ATCOs' workloads is required. The objective of this paper is to visualize ATCOs' workl...
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Workloads of air traffic controllers (ATCOs) tend to be increasing by recent dense traffic. To mitigate the workloads, investigation of present ATCOs' workloads is required. The objective of this paper is to visualize ATCOs' workloads and interpret ATCOs' skills. We investigate ATCOs' tasks and classify them into four task levels, correlated with RPD (Recognition-Primed Decision) model. Then, we conducted a Realtime ATC simulation to analyze the results and propose a new tabulated expression for the task levels. This expression proved that our method can express ATCOs' workloads.
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摘要 :
Safety is fundamental to the air traffic management (ATM) industry. However, ATM is undergoing unprecedented change and a number of new challenges face the industry. Against this backdrop, the industry needs to ensure that how saf...
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Safety is fundamental to the air traffic management (ATM) industry. However, ATM is undergoing unprecedented change and a number of new challenges face the industry. Against this backdrop, the industry needs to ensure that how safety is managed remains appropriate and our safety data continues to inform us of how safe we are and alert us to our risks. Recent advances in safety thinking point towards different techniques and methodologies to address these safety challenges. An example of how these ideas have been applied to data from the NATS air traffic control operation is provided.
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摘要 :
It is a widely held view that complexity is a key factor that significantly affects the work of an air traffic controller, which, in turn affects capacity. A better understanding of what makes the controllers' work complex will im...
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It is a widely held view that complexity is a key factor that significantly affects the work of an air traffic controller, which, in turn affects capacity. A better understanding of what makes the controllers' work complex will improve current and future air traffic management (ATM) capacity, analysis, airspace planning, and future air traffic control (ATC) development. This paper describes our approach to develop a macroscopic model that will give us an automatic and non-subjective method to classify sectors according to their complexity. The first step was to identify the complexity indicators. We combined ATC operational advice with statistical analysis to compile a list of relevant complexity indicators. Clearly, these indicators, their influence and interaction vary amongst sector types. Hence, our next step was to classify our sectors into a small number of homogenous groups, or clusters, to arrive at the sectors' typology. We used two approaches to classify the sectors. The first was based on a K-means classification and the second was by descendant hierarchical clustering - divisive segmentation. Our study shows that our model gave us a meaningful typology and understanding of our sectors' complexity and that we can improve future controller workload and sector capacity predictions at a macroscopic level.
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摘要 :
It is a widely held view that complexity is a key factor that significantly affects the work of an air traffic controller, which, in turn affects capacity. A better understanding of what makes the controllers' work complex will im...
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It is a widely held view that complexity is a key factor that significantly affects the work of an air traffic controller, which, in turn affects capacity. A better understanding of what makes the controllers' work complex will improve current and future air traffic management (ATM) capacity, analysis, airspace planning, and future air traffic control (ATC) development. This paper describes our approach to develop a macroscopic model that will give us an automatic and non-subjective method to classify sectors according to their complexity. The first step was to identify the complexity indicators. We combined ATC operational advice with statistical analysis to compile a list of relevant complexity indicators. Clearly, these indicators, their influence and interaction vary amongst sector types. Hence, our next step was to classify our sectors into a small number of homogenous groups, or clusters, to arrive at the sectors' typology. We used two approaches to classify the sectors. The first was based on a K-means classification and the second was by descendant hierarchical clustering - divisive segmentation. Our study shows that our model gave us a meaningful typology and understanding of our sectors' complexity and that we can improve future controller workload and sector capacity predictions at a macroscopic level.
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