Analysis of aircraft ground traffic flow and gate utilisation using a hybrid dynamic gate and taxiway assignment algorithm

2017 ◽  
Vol 121 (1240) ◽  
pp. 721-745 ◽  
Author(s):  
Orhan Ertugrul Guclu ◽  
Cem Cetek
Keyword(s):  
Traffic Flow ◽  
Integrated Management ◽  
Route Planning ◽  
Movement Planning ◽  
Ground Movement ◽  
Fast Time ◽  
Use Of Resources ◽  
Integrated Methodology ◽  
Gate Assignment ◽  
Ground Delays

ABSTRACTThe rapid increase in the demand for air transportation over the last four decades has led to serious capacity problems for both the airside and landside components of major airports. The efficient management of existing airside resources seems to be the most effective and practical approach to overcome these capacity and traffic flow problems. Although integrated management of aircraft parking position assignments and ground movement planning processes are vital for the effective use of resources and for efficient operations, the current practice is that these processes are handled separately by different agents. This study proposes a hybrid dynamic system, an integrated methodology of taxi path and gate assignment using a knowledge-based decision-making approach to model effectively time-variant and realistic operational features of aircraft gate management and route planning. The model assigns the most suitable parking positions with minimum taxi time and taxi delay among a reduced solution set, satisfying pre-defined decision criteria as well as monitoring ground movements and, if necessary, reassigning new taxi paths and parking positions in real time. Both the proposed integrated methodology and the separate gate assignment and ground management operations currently in use were implemented, analysed and compared in a fast-time simulation model of Istanbul Ataturk Airport (LTBA). The hybrid dynamic assignment model provided significant improvements in taxi times, ground delays and gate utilisation.

Implementation of an integrated management system in an airline: a case study

2010 ◽  
Vol 22 (6) ◽  
pp. 629-647 ◽  
Author(s):  
Palmira López‐Fresno
Keyword(s):  
Management System ◽  
Customer Orientation ◽  
Integrated Management ◽  
Direct Analysis ◽  
Internal Communication ◽  
Content Type ◽  
Integrated Management System ◽  
Use Of Resources ◽  
Industry Sectors

PurposeThis paper presents, through the analysis of a case study, a model based on a systemic approach that proved successful for the design and implementation of an integrated management system (IMS) in an airline, and provides guidelines and practical recommendations that may be of use to other sectors of activity when designing and implementing an IMS.Design/methodology/approachData for this paper were collected through direct analysis and implication in the process of implementation of the IMS. Also a literature review was conducted.FindingsTangible and intangible benefits were identified as derived from operating one IMS, such as cost savings, better use of resources, improved internal communication, stronger customer orientation and employee motivation. For these benefits to be realised it is essential to take into account several critical factors and be aware of the challenges accompanying integration of management systems, as detailed in the paper.Practical implicationsThis paper provides guidelines and recommendations for organisations seeking to implement and integrate several standards, being general or sectoral, particularly if they operate in highly complex industry sectors.Originality/valueThis paper incorporates the integration of sectoral standards, which the literature has not covered very widely. The research has wider value through transferable applications and experiences for other industry sectors.

Impact of optimised trajectories on air traffic flow management

2019 ◽  
Vol 123 (1260) ◽  
pp. 157-173 ◽  
Author(s):  
J. Rosenow ◽  
H. Fricke ◽  
T. Luchkova ◽  
M. Schultz
Keyword(s):  
Traffic Flow ◽  
Air Traffic ◽  
Reference Scenario ◽  
Fast Time ◽  
Flow Management ◽  
Air Traffic Flow Management ◽  
Air Traffic Flow ◽  
Traffic Flow Management ◽  
The Impact ◽  
Trajectory Optimisation

ABSTRACTMulticriteria trajectory optimisation is expected to increase aviation safety, efficiency and environmental compatibility, although neither the theoretical calculation of such optimised trajectories nor their implementation into today’s already safe and efficient air traffic flow management reaches a satisfying level of fidelity. The calibration of the underlying objective functions leading to the virtually best available solution is complicated and hard to identify, since the participating stakeholders are very competitive. Furthermore, operational uncertainties hamper the robust identification of an optimised trajectory. These uncertainties may arise from severe weather conditions or operational changes in the airport management. In this study, the impact of multicriteria optimised free route trajectories on the air traffic flow management is analysed and compared with a validated reference scenario which consists of real flown trajectories during a peak hour of Europe’s complete air traffic in the upper airspace. Therefore, the TOolchain for Multicriteria Aircraft Trajectory Optimisation (TOMATO) is used for both the multicriteria optimisation of txrajectories and the calculation of the reference scenario. First, this paper gives evidence for the validity of the simulation environment TOMATO, by comparison of the integrated reference results with those of the commercial fast-time air traffic optimiser (AirTOp). Second, TOMATO is used for the multicriteria trajectory optimisation, the assessment of the trajectories and the calculation of their integrated impact on the air traffic flow management, which in turn is compared with the reference scenario. Thereby, significant differences between the reference scenario and the optimised scenario can be identified, especially considering the taskload due to frequent altitude changes and rescinded constraints given by waypoints in the reference scenario. The latter and the strong impact of wind direction and wind speed cause wide differences in the patterns of the lateral trajectories in the airspace with significant influence on the airspace capacity and controller’s taskload. With this study, the possibility of a successful 4D free route implementation into Europe’s upper airspace is proven even over central Europe during peak hours, when capacity constraints are already reaching their limits.

Application of Ground Movement and Automated Route Planning Technologies for Pipeline Planning and Management: The PIPEMON Project

2006 ◽  
Author(s):  
Michael Riedmann ◽  
Richard A. Sims ◽  
Caroline Rogg ◽  
Oliver Schleider
Keyword(s):  
Image Processing ◽  
Route Planning ◽  
Ground Movement ◽  
Market Development ◽  
Monitoring Systems ◽  
Development Activity ◽  
Business Partners ◽  
Remote Sensors ◽  
Pipeline Monitoring ◽  
Potential Customers

Innovative technologies provide the key to making pipeline operations more efficient. Thanks to recent progress in satellite-based remote sensing and image processing, it is now possible to design pipeline monitoring systems with remote sensors and context-oriented image processing software, as has been demonstrated in particular by the three-year ESA funded market development activity “PIPEMON – Geo-information services for pipeline operators: ground motion monitoring and route planning”. Business partners involved in the Project are currently undertaking pre-commercial trials with market players and potential customers, to better introduce and demonstrate Earth Observation (EO) data and services to the pipeline industry.

A regression model for terminal airspace delays

2017 ◽  
Vol 121 (1239) ◽  
pp. 680-692 ◽  
Author(s):  
F. Aybek Çetek ◽  
Y.M. Kantar ◽  
A. Cavcar
Keyword(s):  
Regression Model ◽  
Traffic Flow ◽  
Traffic Management ◽  
Air Traffic ◽  
Fast Time ◽  
Total Delay ◽  
Traffic Demand ◽  
Flight Operations ◽  
Entry Points ◽  
Air Traffic Flow

ABSTRACTAir Traffic Management (ATM) research generally focuses on achieving a safer, more effective and economical air traffic system. The current airspace system has become increasingly strained as the demand for air travel has steadily grown. Innovative, proactive and multi-disciplinary approaches to research are needed to solve flight congestion and delays as a consequence of this rapid growth. As a result of this growth, air traffic flow becomes more complex, especially in Terminal Airspaces (TMA) where climb and descent manoeuvres of departing and arriving flights take place around airports. As air traffic demand exceeds the capacity in a TMA, the resultant congestion leads to delays that spread all over the system. Therefore, the reduction of delays is critical for airspace designers to increase customer satisfaction and the perception of service quality. Numerous studies have been conducted to reduce delays within TMAs. This research focuses on defining the causes of delays quantitatively through statistical analysis. The first step was to create a fast-time simulation model of sample airspace for collecting delay data. After building up this model using the SIMMOD fast-time ATM simulation tool, simulation experiments were run to produce various traffic scenarios and to generate traffic delay data. The number of airports, entry points, fixes and flight operations in airspace and the probability of wide-body aircraft were considered as independent variables. The correlations between the considered variables were analysed, and the total delay data was modelled using a linear regression model. The findings of regression model present a statistical approach for airspace designers and air traffic flow planners.

scholarly journals Traffic Management as a Service: The Traffic Flow Pattern Classification Problem

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Carlos T. Calafate ◽  
David Soler ◽  
Juan-Carlos Cano ◽  
Pietro Manzoni
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Intelligent Transportation System ◽  
Route Planning ◽  
Classification Problem ◽  
Time Dependent ◽  
Traffic Pattern ◽  
High Data ◽  
Real Time Traffic

Intelligent Transportation System (ITS) technologies can be implemented to reduce both fuel consumption and the associated emission of greenhouse gases. However, such systems require intelligent and effective route planning solutions to reduce travel time and promote stable traveling speeds. To achieve such goal these systems should account for both estimated and real-time traffic congestion states, but obtaining reliable traffic congestion estimations for all the streets/avenues in a city for the different times of the day, for every day in a year, is a complex task. Modeling such a tremendous amount of data can be time-consuming and, additionally, centralized computation of optimal routes based on such time-dependencies has very high data processing requirements. In this paper we approach this problem through a heuristic to considerably reduce the modeling effort while maintaining the benefits of time-dependent traffic congestion modeling. In particular, we propose grouping streets by taking into account real traces describing the daily traffic pattern. The effectiveness of this heuristic is assessed for the city of Valencia, Spain, and the results obtained show that it is possible to reduce the required number of daily traffic flow patterns by a factor of 4210 while maintaining the essence of time-dependent modeling requirements.

Random Field Modeling of Rainfall-Induced Soil Movement

2002 ◽  
Author(s):  
I. Konuk ◽  
U. O. Akpan ◽  
D. P. Brennan
Keyword(s):  
Random Field ◽  
Structural Integrity ◽  
Oil And Gas ◽  
Route Planning ◽  
Software Tool ◽  
Slope Movement ◽  
Ground Movement ◽  
Spatial And Temporal Variability ◽  
Temporal Correlations ◽  
Field Modeling

Natural oil and gas transmission pipeline networks often traverse regions where potential slow ground movements may affect pipeline structural integrity. One of the primary causes of slow ground movement in any region involves the duration, amount, and intensity of rainfall. The phenomenon of rainfall-induced slow ground movement is characterized by both spatial and temporal variability, and involves uncertainties that are best modeled using a probabilistic methodology. A random field modeling strategy is formulated in this study, in which spatial and temporal correlations between rainfall and ground movement are accounted for. The random field formulation advanced in the current study has a number of significant features and capabilities, including modeling the spatial and temporal relationship between rainfall and slope movement for specified pipeline routes, predicting the likelihood of exceeding slope movement thresholds for various precipitation levels and intensities, and providing maps of risk for slope movement, which can be used as a guide in pipeline route planning, selection, and adaptation strategies for the design and maintenance of oil and gas infrastructure. These capabilities have been implemented and encapsulated into the software tool VSLOPE, which has been tested using monthly rainfall and field data for various locations.

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