Using advanced on-board technologies and integrating them with the ground-based ATM automation, ERASMUS was a EuroControl/SESAR research project to determine how to manage trajectories flown in a "semi-autonomous" mode.
Lattice-Boltzmann Solver Validation for Pedestrian Wind ComfortSimScale
In this webinar, participants can learn the accuracy of the Lattice-Boltzmann Method (LBM) solver for pedestrian wind comfort, by following along with the results in the simulation project:
https://www.simscale.com/projects/ananthu_ajit/aij-_case_e_-_lbm_validation/
Users will be able to see the benefits of using a transient solver for pedestrian-level wind analyses, and ask additional questions in the live ‘Q and A’. The project uses experimental results from the Architectural Institute of Japan to validate computational fluid dynamics (CFD) findings. The case being validated is Case E, which consists of a complex of buildings with simplified geometry. The aim of the simulation is to reproduce the macro-level wind regime around the buildings by testing 4 wind directions, and to validate results from SimScale against the AIJ experimental results.
Video: https://www.youtube.com/watch?v=d-9_nc_PefM
You can access the slides here: https://www.slideshare.net/SimScale
Learn more about CFD with SimScale: https://www.simscale.com/
Take a look at our dedicated page for upcoming webinars: https://www.simscale.com/webinars-workshops/
Make sure you subscribe to our YouTube channel to watch all of our webinars and more!
Wind computation in urban areas: UrbaWind 3.0 new featuresStephane Meteodyn
UrbaWind new features: a repository of wind comfort criteria across the world, new turbulence model bringing results closer to wind tunnel's, convergence improved.
The software is compatible with thermal simulation software and read all climatological data.
This document discusses the application of the Kalman filter to estimate variables for unmanned aerial vehicles (UAVs). The Kalman filter combines predictions with measurements to estimate variables that cannot be directly measured, like altitude and velocity. It was shown to accurately track the simulated state of a UAV over 10 time steps, keeping the error between estimated and actual values small. Graphs demonstrate how the Kalman filter estimate closely follows the actual simulated state. The Kalman filter is thus a useful tool for state estimation in applications like UAV navigation.
The document discusses Kalman filters, which are algorithms used to estimate the internal state of a system from a series of noisy measurements. Specifically:
- Kalman filters were developed in the 1960s to estimate the state of dynamic systems and filter out noise from sensor measurements in a reliable way.
- They work by using a system's predicted state and measurements from sensors to produce estimates of the true state that are better than either the predictions or measurements alone.
- The algorithm models the dynamic behavior of the system being estimated as well as the measurement noise characteristics, and uses these to produce an optimal estimate.
Pedestrian wind comfort in urban area with numerical toolsStephane Meteodyn
Winds in urban area are strongly diffrent from those nearby meteorological stations. Numerical tools bring accurate wind comfort assessment in new urban projects to wind engineering team and sustainable city development consultants.
Kalman developed the Kalman filter in 1960-1961 to estimate the state of a dynamic system from a series of incomplete and noisy measurements. The Kalman filter uses a recursive Bayesian approach to estimate the state of a system by minimizing the mean of the squared error. It provides an efficient computational means to estimate past, present, and even future states, and can do so even when the precise nature of the modeled system is unknown.
The document discusses bringing mixed integer linear programming (MILP) online for path planning of unmanned aerial vehicles (UAVs). It outlines challenges with using traditional MILP for dynamic online path planning, including inability to react to changes and slow solve times. It then presents a solution of using geographic coordinate conversions and a receding horizon approach to discretize the problem and allow incremental re-solving as new information becomes available. This allows MILP to be used for online dynamic path planning of UAVs while addressing its limitations for such applications.
Lattice-Boltzmann Solver Validation for Pedestrian Wind ComfortSimScale
In this webinar, participants can learn the accuracy of the Lattice-Boltzmann Method (LBM) solver for pedestrian wind comfort, by following along with the results in the simulation project:
https://www.simscale.com/projects/ananthu_ajit/aij-_case_e_-_lbm_validation/
Users will be able to see the benefits of using a transient solver for pedestrian-level wind analyses, and ask additional questions in the live ‘Q and A’. The project uses experimental results from the Architectural Institute of Japan to validate computational fluid dynamics (CFD) findings. The case being validated is Case E, which consists of a complex of buildings with simplified geometry. The aim of the simulation is to reproduce the macro-level wind regime around the buildings by testing 4 wind directions, and to validate results from SimScale against the AIJ experimental results.
Video: https://www.youtube.com/watch?v=d-9_nc_PefM
You can access the slides here: https://www.slideshare.net/SimScale
Learn more about CFD with SimScale: https://www.simscale.com/
Take a look at our dedicated page for upcoming webinars: https://www.simscale.com/webinars-workshops/
Make sure you subscribe to our YouTube channel to watch all of our webinars and more!
Wind computation in urban areas: UrbaWind 3.0 new featuresStephane Meteodyn
UrbaWind new features: a repository of wind comfort criteria across the world, new turbulence model bringing results closer to wind tunnel's, convergence improved.
The software is compatible with thermal simulation software and read all climatological data.
This document discusses the application of the Kalman filter to estimate variables for unmanned aerial vehicles (UAVs). The Kalman filter combines predictions with measurements to estimate variables that cannot be directly measured, like altitude and velocity. It was shown to accurately track the simulated state of a UAV over 10 time steps, keeping the error between estimated and actual values small. Graphs demonstrate how the Kalman filter estimate closely follows the actual simulated state. The Kalman filter is thus a useful tool for state estimation in applications like UAV navigation.
The document discusses Kalman filters, which are algorithms used to estimate the internal state of a system from a series of noisy measurements. Specifically:
- Kalman filters were developed in the 1960s to estimate the state of dynamic systems and filter out noise from sensor measurements in a reliable way.
- They work by using a system's predicted state and measurements from sensors to produce estimates of the true state that are better than either the predictions or measurements alone.
- The algorithm models the dynamic behavior of the system being estimated as well as the measurement noise characteristics, and uses these to produce an optimal estimate.
Pedestrian wind comfort in urban area with numerical toolsStephane Meteodyn
Winds in urban area are strongly diffrent from those nearby meteorological stations. Numerical tools bring accurate wind comfort assessment in new urban projects to wind engineering team and sustainable city development consultants.
Kalman developed the Kalman filter in 1960-1961 to estimate the state of a dynamic system from a series of incomplete and noisy measurements. The Kalman filter uses a recursive Bayesian approach to estimate the state of a system by minimizing the mean of the squared error. It provides an efficient computational means to estimate past, present, and even future states, and can do so even when the precise nature of the modeled system is unknown.
The document discusses bringing mixed integer linear programming (MILP) online for path planning of unmanned aerial vehicles (UAVs). It outlines challenges with using traditional MILP for dynamic online path planning, including inability to react to changes and slow solve times. It then presents a solution of using geographic coordinate conversions and a receding horizon approach to discretize the problem and allow incremental re-solving as new information becomes available. This allows MILP to be used for online dynamic path planning of UAVs while addressing its limitations for such applications.
This document summarizes a demonstration of integrated air traffic management capabilities between airborne and ground systems. A flight simulator will fly an aircraft into Arlanda airport under control of an advanced arrival manager on the ground. The aircraft will negotiate a required time of arrival with air traffic control and then fly directly to its assigned time, with minimal intervention from controllers. The demonstration aims to show how data sharing and time-based management could improve arrival sequencing and efficiency in the future.
Cfd simulation for wind comfort and safetyMohamed Fadl
Concern towards the quality of public urban areas has increased in recent years. Wind comfort and
safety in pedestrian areas has become one important environmental parameter when designing new cities. Hence,
architects and town planners need guidelines and simplified design tools to take account of the wind in their
projects. The objectives of this study provide more insight in the pedestrian living conditions around the Hub, a
newly built structure, part of Coventry University campus and at the same time study the influence of building
shapes on the wind distribution. The latter is based on a series of computational fluid dynamics simulations
(CFD), used to advise the University’s Estates Department of the possibility of wind nuisance around the central
campus area. The velocity field was computed using the finite volume method. The simulations were performed
for different wind speeds and directions. The predicted results showed that the distribution of the velocity field
varied and had different characteristics with different wind directions. Also, it was established that the wind
speed amplification factors in diverging passages were generally larger than those in converging passages. The
case study incorporated is intended to support and guide future studies of wind comfort and safety with CFD
and thus makes a modest contribution in improving wind environmental quality in urban areas.
WInd resource assessment in urban areas for sustainable developmentStephane Meteodyn
The paper presents a numerical methodology to assess wind pedestrian comfort and natural ventilation.UrbaWind is an automatic computational fluid dynamics code. It was developed to model the wind in urban environments. The turbulence modelling, namely the dependance of turbulence length on the distance from wall, and the model constants were calibrated in order to reproduce with good agreements flow separation around builings walls. Numerical results match well with the expriments: separation patterns, pressure field on wall, wind speed in dense urban area. Two examples are presented at the end of the paper in order to show the advantages of the methodology for urban designers.
This document outlines the implementation of a real-time numerical weather prediction (NWP) forecasting system in Southern Africa. The objectives were to implement the NWP model, validate the model data using other weather data sources, and disseminate the graphical forecasts on a website. The model was set up using common physics and dynamics options. The domain covered parts of Botswana, South Africa, Zimbabwe, Lesotho, and Swaziland. The model data was validated against temperature data from meteorological services and showed similar maximum and minimum temperatures. The graphical forecast data was then disseminated through an intranet website. In conclusion, the project objectives were met and the model captured weather patterns relatively well but could be improved by comparing
CFD Apps - https://cfdapps.appspot.com - is a webbased portal for undertaking application specific Computational Fluid Dynamics (CFD) simulation. This presentation presents the recently released app that targets the simulation of wind in urban environment. The presentation covers the following subjects:
- Why undertake a CFD study of urban wind environment?
- How does the Urban Wind Study App work?
- Two validation cases where the CFD Apps results are compared to experimental results;
- A discussion of security aspects associated with the use of CFD Apps that users should be aware of.
Understanding kalman filter for soc estimation.Ratul
In the Battery Management System (BMS) the State of Charge (SOC) is closely related to the reliable and safe operation of lithium-ion (Li-ion) batteries. Kalman Filter is an effective algorithm for estimating SOC with a battery modeling. This presentation will briefly describe about battery modeling and Kalman Filter for SOC estimation.
The objective of the project is to predict whether a flight will be delayed or not by studying the various features of the flight and calculating the probability for delay using Bayesian Classification.
The document discusses Kalman filters and their applications in tracking and data prediction. It provides an overview of the basic Kalman filter, which works optimally for linear models. It then describes the extended Kalman filter (EKF) which uses Taylor series linearization to apply the Kalman filter to nonlinear systems. Finally, it introduces the unscented Kalman filter (UKF) which uses the unscented transform for better linearization compared to the EKF when nonlinearities are large.
This document summarizes research on predicting flight arrival delays in the U.S. It discusses the primary and secondary research questions, the dataset used, the approach taken including data cleaning, descriptive analysis, feature selection, model selection, tuning and training. Descriptive analysis results on arrival delays by airport and carrier are presented. Modeling was done using SVM, decision trees, and logistic regression, with SVM achieving the best test accuracy of 77.02%. The conclusion discusses findings on months and times of day with fewer delays, the most delayed carriers and airports, and that including weather data could improve predictions.
Explore the findings of McCain McMurray, Remote Sensing Specialist at NewFields, who surveyed an open pit mine in New Mexico to assess the accuracy of the senseFly eBee mapping UAS (UAV/drone).
The CUSUM anomaly detection algorithm was created to automatically search a vast database of network diagnostic test results from M-Lab for series of unusually high or low measurements. It uses a CUSUM control chart with parameters like expected mean and standard deviation to detect anomalies. The CAD algorithm was implemented in R using a sliding window technique to apply CUSUM charts to subsets of time series data and detect potential anomalies, which are then output along with a graph of the annotated time series. It was tested on M-Lab data showing known anomalies with low false positive and negative rates. Future work aims to optimize parameters and make the method more scalable.
This document proposes integrating trajectory-oriented air traffic management with airborne separation assistance systems. It describes today's sector-oriented air traffic control system and proposed strategic trajectory-based approaches. The concept integrates these by generating conflict-free trajectories meeting time constraints, while allowing aircraft to maintain local spacing using airborne systems when needed. This combines benefits of both approaches. The concept could be implemented incrementally using emerging technologies and procedures. Research is still needed to further develop and evaluate integrating trajectory planning with airborne separation assistance.
The document is a collection of photos taken in 2013 of the Wiener Rathauspark in Vienna, Austria. The photos were taken by Elisabeth Hauberger and credit her as the photographer. There are over 20 photos of the park included.
Jalal Sons is a 4-floor store selling food, household items, gifts, toys, and crockery. The basement and first two floors focus on food, while the third and fourth floors house non-food items. Observation notes opportunities to add grocery items and improve traffic flow between floors. Optic World is an eyeglass store presenting a polished look but lacking lighting at night. Vision Plus needs better layout and lighting. Bread and Beyond has an attractive facade but poor customer service. ChenOne is a high-end lifestyle store that could improve staff training and ambiance. Staples is a book and stationery store that could better merchandise and organize its inventory.
The store draws customers in with its open entrance, clean environment, and sparsely displayed merchandise. The cream-colored interior with 12-foot ceilings feels open and clean. Products are arranged by function with most items at eye-level. Salespeople make immediate contact and treat customers equally, attempting to match the elegant store image. Customers browse for 15-20 minutes on average and 60% make purchases.
This document summarizes a research paper that investigates the antecedents and consequences of Greece's debt crisis as well as reforms to address it. 1) Weak fiscal management, misreported statistics, corruption, and inflexible policies made Greece vulnerable to the crisis. 2) The crisis had twin constraints - large budget and current account deficits - and its consequences included high unemployment and loss of investor confidence. 3) Greece undertook austerity measures to meet deficit targets under the Stability and Growth Pact but faced challenges due to its large external debt.
The PHARE program conducted experiments from 1989-1999 to demonstrate an integrated air/ground air traffic management system using advanced tools and interfaces. It involved developing tools to address issues like aircraft navigation capabilities, air traffic controller automation support, and human-machine interfaces. Large-scale real-time simulations examined topics like trajectory prediction, arrival/departure management, and air/ground negotiation. The experiments concluded the concept could increase capacity and reduce controller workload but further studies were still needed on tools like negotiation managers and impact of meteorological forecasting.
This document summarizes a demonstration of integrated air traffic management capabilities between airborne and ground systems. A flight simulator will fly an aircraft into Arlanda airport under control of an advanced arrival manager on the ground. The aircraft will negotiate a required time of arrival with air traffic control and then fly directly to its assigned time, with minimal intervention from controllers. The demonstration aims to show how data sharing and time-based management could improve arrival sequencing and efficiency in the future.
Cfd simulation for wind comfort and safetyMohamed Fadl
Concern towards the quality of public urban areas has increased in recent years. Wind comfort and
safety in pedestrian areas has become one important environmental parameter when designing new cities. Hence,
architects and town planners need guidelines and simplified design tools to take account of the wind in their
projects. The objectives of this study provide more insight in the pedestrian living conditions around the Hub, a
newly built structure, part of Coventry University campus and at the same time study the influence of building
shapes on the wind distribution. The latter is based on a series of computational fluid dynamics simulations
(CFD), used to advise the University’s Estates Department of the possibility of wind nuisance around the central
campus area. The velocity field was computed using the finite volume method. The simulations were performed
for different wind speeds and directions. The predicted results showed that the distribution of the velocity field
varied and had different characteristics with different wind directions. Also, it was established that the wind
speed amplification factors in diverging passages were generally larger than those in converging passages. The
case study incorporated is intended to support and guide future studies of wind comfort and safety with CFD
and thus makes a modest contribution in improving wind environmental quality in urban areas.
WInd resource assessment in urban areas for sustainable developmentStephane Meteodyn
The paper presents a numerical methodology to assess wind pedestrian comfort and natural ventilation.UrbaWind is an automatic computational fluid dynamics code. It was developed to model the wind in urban environments. The turbulence modelling, namely the dependance of turbulence length on the distance from wall, and the model constants were calibrated in order to reproduce with good agreements flow separation around builings walls. Numerical results match well with the expriments: separation patterns, pressure field on wall, wind speed in dense urban area. Two examples are presented at the end of the paper in order to show the advantages of the methodology for urban designers.
This document outlines the implementation of a real-time numerical weather prediction (NWP) forecasting system in Southern Africa. The objectives were to implement the NWP model, validate the model data using other weather data sources, and disseminate the graphical forecasts on a website. The model was set up using common physics and dynamics options. The domain covered parts of Botswana, South Africa, Zimbabwe, Lesotho, and Swaziland. The model data was validated against temperature data from meteorological services and showed similar maximum and minimum temperatures. The graphical forecast data was then disseminated through an intranet website. In conclusion, the project objectives were met and the model captured weather patterns relatively well but could be improved by comparing
CFD Apps - https://cfdapps.appspot.com - is a webbased portal for undertaking application specific Computational Fluid Dynamics (CFD) simulation. This presentation presents the recently released app that targets the simulation of wind in urban environment. The presentation covers the following subjects:
- Why undertake a CFD study of urban wind environment?
- How does the Urban Wind Study App work?
- Two validation cases where the CFD Apps results are compared to experimental results;
- A discussion of security aspects associated with the use of CFD Apps that users should be aware of.
Understanding kalman filter for soc estimation.Ratul
In the Battery Management System (BMS) the State of Charge (SOC) is closely related to the reliable and safe operation of lithium-ion (Li-ion) batteries. Kalman Filter is an effective algorithm for estimating SOC with a battery modeling. This presentation will briefly describe about battery modeling and Kalman Filter for SOC estimation.
The objective of the project is to predict whether a flight will be delayed or not by studying the various features of the flight and calculating the probability for delay using Bayesian Classification.
The document discusses Kalman filters and their applications in tracking and data prediction. It provides an overview of the basic Kalman filter, which works optimally for linear models. It then describes the extended Kalman filter (EKF) which uses Taylor series linearization to apply the Kalman filter to nonlinear systems. Finally, it introduces the unscented Kalman filter (UKF) which uses the unscented transform for better linearization compared to the EKF when nonlinearities are large.
This document summarizes research on predicting flight arrival delays in the U.S. It discusses the primary and secondary research questions, the dataset used, the approach taken including data cleaning, descriptive analysis, feature selection, model selection, tuning and training. Descriptive analysis results on arrival delays by airport and carrier are presented. Modeling was done using SVM, decision trees, and logistic regression, with SVM achieving the best test accuracy of 77.02%. The conclusion discusses findings on months and times of day with fewer delays, the most delayed carriers and airports, and that including weather data could improve predictions.
Explore the findings of McCain McMurray, Remote Sensing Specialist at NewFields, who surveyed an open pit mine in New Mexico to assess the accuracy of the senseFly eBee mapping UAS (UAV/drone).
The CUSUM anomaly detection algorithm was created to automatically search a vast database of network diagnostic test results from M-Lab for series of unusually high or low measurements. It uses a CUSUM control chart with parameters like expected mean and standard deviation to detect anomalies. The CAD algorithm was implemented in R using a sliding window technique to apply CUSUM charts to subsets of time series data and detect potential anomalies, which are then output along with a graph of the annotated time series. It was tested on M-Lab data showing known anomalies with low false positive and negative rates. Future work aims to optimize parameters and make the method more scalable.
This document proposes integrating trajectory-oriented air traffic management with airborne separation assistance systems. It describes today's sector-oriented air traffic control system and proposed strategic trajectory-based approaches. The concept integrates these by generating conflict-free trajectories meeting time constraints, while allowing aircraft to maintain local spacing using airborne systems when needed. This combines benefits of both approaches. The concept could be implemented incrementally using emerging technologies and procedures. Research is still needed to further develop and evaluate integrating trajectory planning with airborne separation assistance.
The document is a collection of photos taken in 2013 of the Wiener Rathauspark in Vienna, Austria. The photos were taken by Elisabeth Hauberger and credit her as the photographer. There are over 20 photos of the park included.
Jalal Sons is a 4-floor store selling food, household items, gifts, toys, and crockery. The basement and first two floors focus on food, while the third and fourth floors house non-food items. Observation notes opportunities to add grocery items and improve traffic flow between floors. Optic World is an eyeglass store presenting a polished look but lacking lighting at night. Vision Plus needs better layout and lighting. Bread and Beyond has an attractive facade but poor customer service. ChenOne is a high-end lifestyle store that could improve staff training and ambiance. Staples is a book and stationery store that could better merchandise and organize its inventory.
The store draws customers in with its open entrance, clean environment, and sparsely displayed merchandise. The cream-colored interior with 12-foot ceilings feels open and clean. Products are arranged by function with most items at eye-level. Salespeople make immediate contact and treat customers equally, attempting to match the elegant store image. Customers browse for 15-20 minutes on average and 60% make purchases.
This document summarizes a research paper that investigates the antecedents and consequences of Greece's debt crisis as well as reforms to address it. 1) Weak fiscal management, misreported statistics, corruption, and inflexible policies made Greece vulnerable to the crisis. 2) The crisis had twin constraints - large budget and current account deficits - and its consequences included high unemployment and loss of investor confidence. 3) Greece undertook austerity measures to meet deficit targets under the Stability and Growth Pact but faced challenges due to its large external debt.
The PHARE program conducted experiments from 1989-1999 to demonstrate an integrated air/ground air traffic management system using advanced tools and interfaces. It involved developing tools to address issues like aircraft navigation capabilities, air traffic controller automation support, and human-machine interfaces. Large-scale real-time simulations examined topics like trajectory prediction, arrival/departure management, and air/ground negotiation. The experiments concluded the concept could increase capacity and reduce controller workload but further studies were still needed on tools like negotiation managers and impact of meteorological forecasting.
This is an overview of the Initial 4D flight trial from Toulouse France to Stockholm Sweden and return, performed by Air France under EuroControl/SESAR research project for TBO in ATM..
The document summarizes a presentation about reviewing and improving employee benefit portfolios. It discusses rising healthcare costs that are increasing employees' financial risk and outlines additional benefits like accident, disability, life, and critical illness insurance that can help offset costs. Examples are given showing how these supplemental benefits could help employees in situations like disability, cancer diagnosis, or child's hospitalization. The comprehensive benefits package costs the business nothing directly and provides tax benefits while educating and protecting employees from financial exposure. The services offered by the company include educating employees on the benefits and enrolling interested staff.
The document discusses strategies for increasing transparency and reducing costs in the healthcare industry. It notes that currently many healthcare plans operate as "black boxes" with little visibility into negotiation rates and fees. The document outlines an agenda to discuss improving transparency through cost-plus auditing of medical claims, analyzing performance audits of third-party administrators, and recovering overpayments from the past through more robust auditing. The goal is to help employers better understand how their healthcare dollars are being spent through greater access to data and contracts.
The document summarizes the key concepts of strategic management. It discusses strategic management as the set of decisions and actions to achieve company objectives. It outlines the nine critical tasks of strategic management including formulating the mission, conducting analyses, identifying options, and evaluating success. It describes the three levels of strategy as corporate, business, and functional. Finally, it presents a comprehensive model of the strategic management process.
Strategic management involves three main stages: strategy formulation, strategy implementation, and strategy evaluation. In strategy formulation, companies determine their vision, mission, external opportunities and threats, internal strengths and weaknesses, long-term objectives, and alternative strategies. In strategy implementation, companies develop annual objectives, policies, and allocate resources to achieve the strategic plan. In strategy evaluation, companies conduct internal and external reviews to measure performance and make corrective actions. Effective strategic management provides benefits such as enhanced awareness of threats and improved understanding of competitors' strategies.
The document outlines the strategic management process which involves 3 phases - strategy formulation, implementation, and evaluation and control. Strategy formulation includes determining the organization's mission and objectives, conducting a SWOT analysis, generating strategic alternatives, and selecting strategies. Implementation involves operationalizing the strategies. Evaluation and control examines whether objectives are being met and allows for corrective actions. Benefits of strategic management include envisioning the future, clarifying objectives, improving dynamics and responsiveness to the environment.
The document provides an overview of the evolution of strategic management thinking and practice from the 1950s to the present. It discusses how strategic management has shifted from an emphasis on budgetary planning and control to a focus on positioning, competitive advantage, innovation, and reconciling flexibility with financial control. The key stages of the strategic management process and various analytical tools and approaches are also summarized.
The document discusses the origins and development of strategic management as a discipline. It began in the 1950s with pioneers like Chandler, Selznick, and Ansoff developing foundational concepts. Chandler recognized the importance of coordinating management functions under an overall strategy. Selznick introduced matching internal/external factors through SWOT analysis. Ansoff built on this with strategic frameworks and the concept of reducing gaps between current/desired states. The document outlines the key elements of strategic management theory that had developed by the 1970s, including relating strategy to the business environment, its fluid/complex nature, and its multi-level planning and conceptual aspects. Finally, it introduces tools for strategic analysis like PEST and scenario planning.
Environmental Modeling of NextGen (2010)Jawad Rachami
The document discusses environmental modeling needs for the Next Generation Air Transportation System (NextGen). It describes how different modeling tools are needed for strategic planning versus tactical planning and research. Integrated models like the Aviation Environmental Design Tool (AEDT) are useful for policy support and inventories, while simulation tools are better suited for evaluating NextGen concepts and advanced vehicle integration. The document outlines several projects integrating AEDT and the Advanced Concept Evaluation System (ACES) to assess environmental impacts of new operational concepts and technologies. Future work could improve the integration of simulation and integrated models to help identify environmental constraints for specific aircraft operations.
1) The document discusses using trajectory pricing to redistribute air traffic in the European airspace by modulating en-route charges. It aims to address capacity-demand imbalances and reduce delays and costs.
2) A bilevel optimization model is formulated to find the optimal charge rates set by the central planner to minimize inefficiency in the network, while airspace users determine optimal routes and departure times based on the charges.
3) The model is implemented on real air traffic data from 17 clusters of flights in Europe. Different scenarios are tested by relaxing constraints to trade off computation time and solution quality. Modulating charges resulted in redistributing over 14,000 minutes of flight time across scenarios.
This document discusses two new technologies from MineWare:
1. A loader payload management system that uses sensors to calculate payload in real-time and provide operators feedback to better control loading and maximize truck payload. This increases productivity and reduces overloads.
2. A machine terrain mapping system that uses position sensors to generate a real-time map of the excavation and compares it to the design to provide operators feedback on compliance. This improves execution and allows engineers to monitor progress. The system could be expanded to provide additional safety and planning insights.
Optimal combinaison of CFD modeling and statistical learning for short-term w...Jean-Claude Meteodyn
After almost three decades of active research, short-term wind power forecasting is now considered as a mature field. It has been widely and successfully put into operation within the past ten years. Meteodyn with over a decade of experience in wind engineering has contributed to this spread with tens of wind farm equipped with forecast solutions around the world. Our next-generation short-term forecasting solution has been designed to makes the most of both a tailored micro-scale CFD modeling and advanced statistical learning. In the frame of our model design, various options have been considered and evaluated taking into account both model performance and operational constraints. Two main approaches for wind power forecasting are usually considered in the literature (and sometimes opposed): “physical” and “statistical”. It is widely admitted that an optimal combination of both is necessary to build a high performance forecasting system. However, behind "optimal combination" resides a wide variety of design options. We propose here to shed some light on what performances one should expect from several modeling options for combining physics (mesoscale/CFD modeling) and statistics (grey/black box statistical learning, phase/magnitude correction, data filtering). Case studies are taken from real wind farms in various climate and terrain conditions.
The document summarizes the ERICA tiltrotor project. It discusses ERICA's innovative design features, including its small rotor diameter and tiltable wing. It also outlines the critical technology programs supporting ERICA's development, including programs focused on aerodynamics, acoustics, control systems, rotors, and integration. The document addresses challenges around public acceptance, regulations, and airport operations for tiltrotor aircraft.
1. The document lists Key Performance Parameters (KPPs) and additional system requirements for an Advanced Pilot Training (APT) system. The KPPs include thresholds and objectives for aircraft and simulator availability, sustained G-forces, and simulator visual acuity and performance fidelity.
2. Additional requirements address maneuverability, weapons employment simulation, data links, angle of attack, turn rates, debriefing capabilities, and open systems architecture. Space, weight, power, and cooling growth provisions must also be included.
3. Scenario input is required for both aircraft and simulators to support tactical training, and the aircraft design should enable future in-flight refueling capability.
The document summarizes a session at the World ATM Congress 2016 on SESAR and spectrum. The session agenda included presentations on communication enablers like multilink and software defined radios, navigation enablers such as GNSS needs and challenges, and surveillance enablers focusing on optimizing ADS-B data. There were also presentations on spectrum challenges from European and global perspectives, and how SESAR addresses spectrum issues. The session concluded with a Q&A.
This document discusses Thales' experience with the Single European Sky ATM Research (SESAR) program and the deployment of outcomes from SESAR 1. It outlines 6 Air Traffic Management Functionalities (AFs) being deployed from 2014-2023 to improve overall performance in areas like safety, capacity, cost effectiveness and the environment. Each AF is summarized, including AF1 on extending arrival management and performance-based navigation in dense terminal maneuvering areas, and examples of implementations are provided.
airsight takes airfield inspection services to the next level with the utilisation of Unmanned Aerial Vehicles (UAVs). airsight UAVs replaces conventional methods, and the long hours walking on the runways and taxiways. The impact on operations is minimum, the results fully traceable and well documented in accordance to ICAO and EASA regulations. The achieved level of detail is unmatched and offers a full-range of applications at a minimum cost.
The document defines key performance indicators (KPIs) and key performance areas (KPAs) to monitor airside airport performance across Europe as part of the ATMAP project. It identifies a set of high-level KPIs such as traffic volume, capacity, punctuality, efficiency, and predictability. The KPIs are defined and can be broken down using data from various sources to provide a consistent approach to measuring airport airside performance across Europe.
Aviation Ground Power Unit - MAK India and USAangleratrium
MAK is the global leading manufacturer and supplier of Aviation Ground Power Unit. We offers many different solutions to your Ground Support needs. Our product support offices have been established at strategic locations across the world. We are committed to providing the highest standards of customer satisfaction, craftsmanship and quality.
India Aviation ICT Forum 2013 - Manish Sinha, Deputy COO, Hyderabad Internati...SITA
CDM driven real-time decision making and support system – a new horizon in stakeholder management – Manish Sinha, Deputy COO, Hyderabad International Airport
This document summarizes an aircraft design framework called HIRF SE that aims to minimize electromagnetic interference risks through computational simulation. The framework was developed by a large European consortium over 4.5 years with a budget of 26.5 million euros. It allows designers to predict how aircraft will perform electromagnetically during design to reduce rework costs. It can also support certification by simulating how robust aircraft will be to external electromagnetic disturbances. The framework was extensively validated against 70 test cases and on 9 real aircraft, showing good agreement with measurements.
Delays in air traffic management a surrogate perspectivePaula R MARK
The idea of waiting is usually associated with mixed emotions of trepidation and anger. But delays in the air transport sector may be good from an economic perspective. This presentation uses a statistical analysis of aviation data to show a surrogate perspective of delays.
Andracsek, Robynn, Burns & McDonnell, What Every EHS Staff should Know about ...Kevin Perry
This document discusses air dispersion modeling for environmental permitting. It provides an overview of the EPA-approved models for different types of areas and pollutants. It also summarizes key aspects of modeling including significance thresholds, modeling stages, averaging periods, sources, receptors, meteorological data requirements, and potential challenges. Common questions around stack height, downwash effects, and acceptable input tolerances are also addressed.
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3. Future 4D position in 20 min ?
ERASMUS computes
Conflict-free segment for the next 20 min
Airborne Trajectory
Prediction with
RELIABILITY level
5 sec TP ACCURACY
Minor speed adjustment [-5%,+3%]
Longitudinal deviation : ± 1 min
Inside the RBT Tolerance
CTA/CTO constraint
TP in Strategic deconfliction
Multi-Sector Planner (MSP)
4. TP Accuracy
Results for 20 minutes time horizon and worst case (extreme weather)
• Cruise (level flight)
o Cross-track error – typically less than 0.05 NM,
o Time error – tens of seconds -- worst case
o Not sensitive to wind forecast availability
• Climb/Descent
o Cross-track error – similar to cruise
o Time error – very sensitive to missing wind forecast
As high as 2 min for 10 minutes look-ahead time,
Wind forecast can reduce error by more than 50%.
o Altitude error – very sensitive to missing wind forecast
Largest errors in climb with missing forecast
E.g., thousands of feet for 10min look-ahead time
o Accurate Wind forecasts reduce Time and Altitude deviations dramatically.
5. TP Reliability
• TP Reliability affects CD&R strategy
• Reliability influenced by pilot and ATC
actions, aircraft states, operational
environment, Wx…
• TP Reliability levels (Lateral, Vertical, Longitudal):
– HIGH – Trajectory actively controlled, no event
expected.
– MEDIUM – Downgrade event not expected.
Upgrade event or reliability-neutral event expected.
E.g., 4DTRAD mod negotiated, not yet FMS activated.
– LOW – TP Downgrade or upgrade event expected.
E.g., Conflict detected on trajectory segment.
– NOT DEFINED – TP Reliability cannot be specified or
determined.
– NONE –TP segment not active and no change of state
expected.
• Recent* 4DTRAD Nav support
workshop recommendation:
“ETA accuracy states”
– NOT DEGRADED (wind/ temperature data
uplinked less than 3 hours ago.
– PARTIALLY DEGRADED (meteo data uplinked
more than 3 hours ago
– DEGRADED (no meteo data entered by the pilot)
* April 23rd and 24th 2009
RELIABILITY= LOW
RELIABILITY = LOW
RELIABILITY = HIGH
Conflict detected
Valid Wx forecast
not available
Pilot executes
4DTRAD clearance
7. KPA : Efficiency and Capacity
• The assessment done demonstrated that without aids the controllers will not be
able to handle the 2020 traffic (1.7 times higher than today)
• CAPACITY: Management of 50-70% traffic increase through reduction of
complexity by ERASMUS TCSA
complexity= nb of situations delivered to the controller + form of problems to be solved tactically
8. 0
0.5
1
1.5
2
2.5
3
3.5
1 2 3 4 5 6 7 8 9 101112 131415161718192021222324
NIL
ZI
KR
W1
X4
AU
D3
KN
L1
NU
Y3
ZU
AR
DH
GU
HR
R1
H3
KU
NI
Nb of residual conflict
Hour
Sectors
• The experimentations demonstrated ERASMUS services are able to
detect and reduce drastically the number of conflicts (~ 80%)
The comparison of remaining conflicts in different traffic contexts can be used
to assess the saving of controllers resources
KPA : Efficiency and Capacity
0
200
400
600
800
1000
1200
1400
1600
Nbofconflicts
1
Conflicts showed to TCs
2008 Horizon - without
ERASMUS
2020 Horizon - with
ERASMUS
• CAPACITY:ATCO pulled out of the global management – work tactically on
specific situations filtered and delegated at the MSP level
9. KPA: Safety
171 conflicts remained_9%
No. of conflicts
Without ERASMUS
No. of conflicts
with ERASMUS
aircraft with separation < 4 1891
aircraft with separation < 8 4031 576 conflicts remained_14%
• Safety margin is improved
2020 traffic
10. • A trade-off between time delay and fuel burn
• An appropriate selection of manoeuvre for ERASMUS Conflict Resolution
has direct impact on flight efficiency and potential delays
• Any manoeuvre not planned in Flight plan effectively degrades airline
preferences represented by Cost Index.
KPA: Flight Efficiency
Estimated savings Estimated time delay
In Operation Costs Per
manoeuvre
Per
airlines/year
Per manoeuvre
Cost of Manoeuvres 40,25€ 19223€ 31s
• To insert advanced Cost estimator into ERASMUS Solver
Example (depending on Cost Index, Weight of Aircraft, Flight Level, Speed, etc..):
11. • Cost related to supporting infrastructures or system enablers may be part of
the operational changes planned in SESAR IP2
KPA: Cost - Effectiveness
Benefit type Cost type
En-route Capacity increase Installation of ERASMUS Server
Workload decrease HMI upgrade
ATCO productivity increase ATCO training
Safety improvement CPDLC upgrade & ADS Ground station
(SESAR)
Benefit type Cost type
Fuel consumption reduction Avionics upgrade (CPDLC/ADS) (SESAR)
Flight time reduction FMS upgrade (SESAR)
Delay reduction
ANSP
Airline
12. • ERASMUS would reduce the number of trajectory modifications
• Speed reduction and altitude increase are the most fuel efficient manoeuvres
KPA: Environment
Estimated CO2 Reduction (tons)
Costs All environments
In Operation Costs per year
Cost of Manoeuvres (2020 figures) 69,800
Total Airline benefit per year 69,800
13. Conclusions
It has been more complex than initially envisioned:
– TP/CTO accuracy and reliability issues
– Controllers modus operandi & tools:
• How to maintain sufficient level of SA to be able to act strategically?
• ATCOs will handle exceptions – loss of practical skills Vs in charge
of the most difficult problems
• Issue of responsibility: Window of opportunity close to 0?
• Today, ATCo’s infer information – with Advanced TP precision →
less doubt than less support from ERASMUS concept?
14. What’s next?
• SESAR WP 4.7.2 – “ERASMUS II”
– Concept assessment, extension and refinement via further
investigations into wide range of open issues (Current results are
based on specific hypothesis).