Готові списки джерел за темами / Air transportation forecasts

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Добірка наукової літератури з теми "Air transportation forecasts"

Автор: Grafiati

Опубліковано: 30 травня 2022

Оновлено: 31 липня 2025

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Статті в журналах з теми "Air transportation forecasts"

Braslau, David, and Robert C. Johns. "Use of Air Transportation by Business and Industry in Minnesota." Transportation Research Record: Journal of the Transportation Research Board 1622, no. 1 (1998): 31–40. http://dx.doi.org/10.3141/1622-05.

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Current and forecasted use of air transportation by businesses in Minnesota using the Standard Industrial Classification is described. The research is based upon a study on air service and commercial and industrial activity in Minnesota required by the Minnesota legislature in 1996. Purchases from the air transportation sector that includes scheduled and nonscheduled passenger and freight services are based upon the 1993 IMPLAN input-output model for Minnesota and Bureau of Economic Analysis (BEA) and Bureau of Labor Statistics (BLS) forecasts for Minnesota. In addition to intraindustry transf

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Aghayev, N. B., and D. Sh Nazarli. "Modelling of non-scheduled air transportation time series based on ARIMA." Civil Aviation High Technologies 27, no. 6 (2025): 8–20. https://doi.org/10.26467/2079-0619-2024-27-6-8-20.

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Forecasting non-scheduled air transportation demand is essential for effective resource allocation, operational planning, and decision-making. In this paper, the use of the ARIMA (Auto Regressive Integrated Moving Average) model for forecasting non-scheduled air transportation is explored. The ARIMA model is a widely employed time series forecasting technique which combines autoregressive (AR), differencing (I), and moving average (MA) components. It has been successfully applied to various fields and can be adapted to capture the patterns and trends in non-scheduled air transportation data. T

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Adrianova, A. V. "ANALYSIS OF PASSENGER AIR TRANSPORTATION CHANGES UNDER THE EXTERNAL ENVIRONMENT INFLUENCE." System analysis and logistics 4, no. 26 (2020): 96–107. http://dx.doi.org/10.31799/2007-5687-2020-4-96-107.

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The article examines the external conditions that determine the processes of the air transport participants operation. The impact of the COVID-19 pandemic on civil aviation has been studied: statistics on the decline in the number of flights in the world and the passenger traffic reduction in European countries are given, their economic losses are estimated. The aviation market state in the Baltic region has been investigated. Existing forecasts for the industry recovery after the introduction of restrictions on the fight against the COVID-19 virus are outlined. Keywords: air transportation, p

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Feoktistova, O. G., and D. Yu Potapova. "Using correlation matrices in predicting airline performance." Omsk Scientific Bulletin, no. 179 (2021): 15–18. http://dx.doi.org/10.25206/1813-8225-2021-179-15-18.

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The article considers the issue of making forecasts of the main indicators of the activities of airlines for their effective functioning in the air transportation market. It describes the life cycle of airlines and provides a classification of the forecasts that are currently being made. The interrelation of correlations of the key parameters of the airline’s functioning is considered, the use of correlations in forecasting is shown, actual calculations are presented, and a significant increase in forecast accuracy when using this forecasting method is demonstrated.

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Zhu, Shoupeng, Yang Lyu, Hongbin Wang, et al. "Pavement Temperature Forecasts Based on Model Output Statistics: Experiments for Highways in Jiangsu, China." Remote Sensing 15, no. 16 (2023): 3956. http://dx.doi.org/10.3390/rs15163956.

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Forecasts on transportation meteorology, such as pavement temperature, are becoming increasingly important in the face of global warming and frequent disruptions from extreme weather and climate events. In this study, we propose a pavement temperature forecast model based on stepwise regression—model output statistics (SRMOS) at the short-term timescale, using highways in Jiangsu, China, as examples. Experiments demonstrate that the SRMOS model effectively calibrates against the benchmark of the linear regression model based on surface air temperature (LRT). The SRMOS model shows a reduction i

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Aghayev, N. B., and D. Sh Nazarli. "Hybrid forecasting model of non-scheduled passenger air transportation." Civil Aviation High Technologies 28, no. 2 (2025): 8–21. https://doi.org/10.26467/2079-0619-2025-28-2-8-21.

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In the article, an ARIMA-Fuzzy-based hybrid model is proposed for forecasting time series of non-scheduled passenger air transportation. As it is known, the ARIMA model is applied to identify linear trends and regularities within time series data as well as for forecasting. The study of scientific research literature shows that the ARIMA model has its own limitations in managing non-linearity and random changes during forecasting. Since the process of non-scheduled air transportation depends on random changes as a stochastic process, the mentioned model does not cover the whole process. For th

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Wu, Xiangli, and Shan Man. "Air transportation in China: Temporal and spatial evolution and development forecasts." Journal of Geographical Sciences 28, no. 10 (2018): 1485–99. http://dx.doi.org/10.1007/s11442-018-1557-y.

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Nurlanuly, Abdul-Khassen, Nazym Akhmetzhanova, Oxana Kirichok, Ardakh Azimkhan, and Nailya Abdildinova. "Assessment of the air transportation market in the economies of newly independent states and forecast of its development." International Journal of Innovative Research and Scientific Studies 8, no. 3 (2025): 3843–51. https://doi.org/10.53894/ijirss.v8i3.7396.

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The air transportation market in the newly independent states is a dynamically developing sector that significantly influences economic growth and the integration of these countries into the global economy. The aim of this study is to assess the relationship between air transportation indicators and economic indicators, including GDP per capita. A comparative analysis was conducted across three periods: pre-pandemic (2016–2019), during the COVID-19 pandemic (2020–2021), and post-pandemic (2022–2024), using correlation and regression analysis, as well as the ARIMA time series forecasting model.

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Kuzmina, Lyudmila V., та Alexandra S. Merzlikina. "«Сlosed sky» shock: trends and forecasts". Vestnik of Samara University. Economics and Management 13, № 2 (2022): 63–70. http://dx.doi.org/10.18287/2542-0461-2022-13-2-63-70.

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The article deals with situations related to the closure of airspace and a significant decrease in the number of air traffic, which we have observed twice in recent history. For the first time in 2020, due to the spread of the new COVID-19 coronavirus infection, there was a powerful wave of closure of air traffic between the countries. For the second time, in 2022, there was a similar closure of airspace, but for other reasons of a station nature that arose due to the introduction of a number of sanctions and restrictive measures (a ban on landing, taking off and flying over the territory) fro

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Benjamin, Stanley G., Stephen S. Weygandt, John M. Brown, et al. "A North American Hourly Assimilation and Model Forecast Cycle: The Rapid Refresh." Monthly Weather Review 144, no. 4 (2016): 1669–94. http://dx.doi.org/10.1175/mwr-d-15-0242.1.

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Abstract The Rapid Refresh (RAP), an hourly updated assimilation and model forecast system, replaced the Rapid Update Cycle (RUC) as an operational regional analysis and forecast system among the suite of models at the NOAA/National Centers for Environmental Prediction (NCEP) in 2012. The need for an effective hourly updated assimilation and modeling system for the United States for situational awareness and related decision-making has continued to increase for various applications including aviation (and transportation in general), severe weather, and energy. The RAP is distinct from the prev

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Дисертації з теми "Air transportation forecasts"

Фисина, Костянтин Анатолійович, and Kostiantyn Anatoliyovich Fysyna. "COVID-19 air transportation strains." Thesis, National Aviation University, 2021. https://er.nau.edu.ua/handle/NAU/50777.

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1. Abate, Megersa, Panayotis Christidis and Alloysius Joko Purwanto (2020), “Government support to airlines in the aftermath of the COVID-19 pandemic”, Journal of Air Transport Management 89:101931, URL: https://doi.org/10.1016/j.jairtraman.2020.101931 2. IEA (2020), “Changes in transport behaviour during the Covid-19 crisis”, International Energy Agency, Paris, URL: https://www.iea.org/articles/changes-in-transport behaviour-during-the-covid-19-crisis 3. International Transport Forum (2020), “Restoring air connectivity under policies to mitigate climate change”, COVID-19 Transport Brief

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Vega, Diego Javier Gonzales. "A Methodology to forecast air transportation demand with alternative econometric models." Instituto Tecnológico de Aeronáutica, 2012. http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=2092.

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This thesis presents a methodology using a portfolio of time-series models, from conventional ARMA to a regime-changing framework. The objective is to develop an air transportation demand modeling to inspect potential structural breaks in the Brazilian market, due to solve underlying issues of new demand creation. Out-of-sample forecasting is used to generate comparative metrics aiming at both selection and validation of what we call a "champion model". Results indicate better performance of more complex models such as the fractionally integrated and the Markov-switching models. Ex a

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Freire, Burgos Edwin R. "Aviation Global Demand Forecast Model Development: Air Transportation Demand Distribution and Aircraft Fleet Evolution." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/81313.

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The Portfolio Analysis Management Office (PAMO) for the Aeronautics Research Mission Directorate (ARMD) at NASA Headquarters tasked the Systems Analysis and Concepts Directorate at NASA Langley to combine efforts with Virginia Tech to develop a global demand model with the capability to predict future demand in the air transportation field. A previous study (Alsalous, 2015) started the development of the Global Demand Mode (GDM) to predict air travel demand based on Gross Domestic Product (GDP) and population trends for 3,974 airports worldwide. The study was done from year 2016 to year 2040.

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Книги з теми "Air transportation forecasts"

Air traffic control: FAA can better forecast and prevent equipment failures : report to the Chairman, Subcommittee on Transportation and Related Agencies, Committee on Appropriations, House of Representatives. The Office, 1991.

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Частини книг з теми "Air transportation forecasts"

Fomin, Oleksij, Gregori Boyko, Pavlo Prokopenko, Mariia Miroshnykova, and Andriy Klymash. "Study of safety indicators and technical condition of rolling stock by mobile systems." In ASSESSMENT OF TECHNICAL CONDITION: MEANS OF MEASUREMENT, SAFETY, RISKS. TECHNOLOGY CENTER PC, 2024. https://doi.org/10.15587/978-617-8360-05-4.ch2.

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The organization of the movement of freight trains in Ukraine is an important factor in the integration of the country's railway transport into the European system. Currently, a situation has arisen that requires a significant renewal of the freight car park with modern cars to meet the requirements of freight transportation. Also, a significant drawback of railway transport of Ukraine is the limitation of the speed of trains, which include freight cars with a reduced container in an empty state, therefore, at the moment, the issue of improving the methodological and software and instrumental

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Karlaftis, Matthew G. "Critical Review and Analysis of Air-Travel Demand." In Computational Models, Software Engineering, and Advanced Technologies in Air Transportation. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-800-0.ch005.

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Demand forecasting may be the most critical factor in the development of airports and airline networks. This chapter reviews various approaches used to forecast air travel and airport demand forecasting. It classifies existing methods according to the modeling approach used to evaluate the available data; then, the forecasting approaches are viewed in relation to data requirements. Finally, a new matrix classification scheme is introduced that combines both the data available and the technique used to evaluate this data in a more concise and manner.

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Frichi, Youness, Abderrahmane Ben Kacem, Fouad Jawab, Oualid Kamach, and Samir Chafik. "Improving Interhospital Medical Patient Transportation in Morocco." In Transportation, Logistics, and Supply Chain Management in Home Healthcare. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0268-6.ch008.

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Healthcare facilities are nowadays facing several challenges in terms of quality of care, costs, and performance. Collaboration with stakeholders is a promising way to overcome these challenges. In Morocco, healthcare access and continuity of care remain difficult due, among others, to the various stakeholders involved and the lack of ambulances for extra-hospital and interhospital medical patient transportation (MPT). In this chapter, the aim was to explore collaboration in healthcare supply chain to improve the availability of ambulances for interhospital MPT (transfers). For this purpose, a

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Mavutha, Winiswa, Makhosazane Buthelezi, and Tshepo Phuti Mabotja. "Utilising Big Data Analytics for Enhancing Retail Sales Forecasting and Supply Chain Management." In AI-Driven Marketing Research and Data Analytics. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2165-2.ch022.

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Retail sales forecasting is challenging for demand planners, thus it's important to understand product and store predictions. Forecasts help establish a strategy to incorporate demand signals and start upstream supply chain actions. Retailers often have unique strategic orientations and managerial decision-making processes. Autonomy in demand forecasting can lead to biases and errors, especially when store promotional efforts are poorly communicated. Poor retail sales forecasting strains the distribution system, requiring an evaluation of infrastructure, automation, transportation capacity, an

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Bruglieri Maurizio, Maja Roberto, Marchionni Giovanna, and Rainoldi Giovanni. "Safety in Hazardous Material Road Transportation: State of the Art and Emerging Problems." In NATO Science for Peace and Security Series - E: Human and Societal Dynamics. IOS Press, 2008. https://doi.org/10.3233/978-1-58603-899-1-88.

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In the last years, numerous accidents have made to lift the level of attention related to the safety in the road transportation of hazardous materials. Also in absence of serious wounded, the dangerousness of the interventions requires very long times for the restoration of the normal road circulation causing huge damages economic and strong discomforts to the users. The hazmat transportation is disciplined for a long time by the ADR. However it only concerns passive measures related to the vehicles, to the packing and the labelling of materials, but it does not prescribe provisions to adopt d

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Shah, Imdad Ali, N. Z. Jhanjhi, and Sayan Kumar Ray. "Artificial Intelligence Applications in the Context of the Security Framework for the Logistics Industry." In Advances in Explainable AI Applications for Smart Cities. IGI Global, 2024. http://dx.doi.org/10.4018/978-1-6684-6361-1.ch011.

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Artificial intelligence (AI) has a wide range of applications in logistics and supply chain management. With the help of AI, businesses can improve their planning activities, optimize their routes, manage resources more efficiently, and enhance their delivery effectiveness. AI-powered autonomous delivery systems are also gaining popularity as they enable faster and more reliable delivery of goods without the need for human intervention. By leveraging AI, businesses can analyze large amounts of data and gain insights into customer behaviour, demand patterns, and other critical factors that impa

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Villi, Bilge. "Predictions of Import and Export Values According to Transportation Types in the Logistics Sector with Trend Analysis Method." In Sosyal Bilimler Alanında Akademik Araştırma ve Değerlendirmeler. Özgür Yayınları, 2024. http://dx.doi.org/10.58830/ozgur.pub427.c1893.

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As of 2023, when the top 10 countries in terms of economic size are examined, it is observed that these countries are the ones with the largest share in global trade. Turkey ranked 15th in terms of economic size in 2023, and it needs to get a larger share of world trade in order to achieve its goal of being among the top 10 countries in the world in terms of economic size. The importance of logistics activities is also significant in increasing this share. Transportation constitutes the largest expense item within logistics activities. In order for businesses to increase their profitability an

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Zuniga, Catya, Miguel Mujica Mota, and Alfonso Herrera García. "Analyzing Airport Capacity by Simulation." In Handbook of Research on Military, Aeronautical, and Maritime Logistics and Operations. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9779-9.ch007.

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Air transportation has grown in an unexpected way during last decades and is expected to increase even more in the next years. Traffic growth tendencies forecast an expansion in the demand and greater aviation connectivity, but also higher workload to the different airspace users, especially for airport and services. Therefore, it is essential to employ strategies designed to use efficiently valuable corporate resource. Airport authorities around the world are investing in large capital projects, including new or improved runways, terminal expansions, and entirely new airports. However, this e

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Pathak, Anagh. "A STUDY ON THE USES AND IMPACT OF AI IN DIFFERENT SECTORS FOR ATTAINMENT OF SDG GOALS." In Futuristic Trends in Management Volume 3 Book 26. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bhma26p1ch4.

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This study examines how artificial intelligence (AI) affects the pursuit of sustainable development objectives. (SDGs). The study gives a general overview of the state of AI technology today and some possible uses for it in tackling various sustainability issues, such as poverty, inequality, and climate change. For instance, AI-powered algorithms can optimise healthcare delivery, forecast and prevent natural catastrophes, and reduce carbon footprint in the supply chain. Adoption of AI, though, also brings up moral and social issues like employment displacement, privacy, and bias. AI can help w

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Тези доповідей конференцій з теми "Air transportation forecasts"

Moliere, Michel, Matthieu Vierling, and Rich Symonds. "Interest for Liquid Fuels in Power Generation Gets Renewed." In ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-22149.

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As investments in power additions are under scrutiny, the viability and sustainability of generation projects are increasingly challenged by planners, and the debate about the most appropriate primary energy and prime mover is renewed with a sharper focus. Faced with limited forecasts on future growth, today’s power generators are looking cautiously at power addition blueprints and placing increased emphasis on equipment versatility and fuel flexibility in a move to eliminate single fuel reliance. Heavy duty gas turbines (HDGTs) can mitigate the uncertainty about operation factor and plant cap

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Morgan, Curtis A., Benjamin R. Sperry, Annie Protopapas, et al. "Identification of Potential Statewide Intercity Rail and Bus Transit Corridors in Texas." In 2011 Joint Rail Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/jrc2011-56056.

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Highways and air travel have accounted for the vast majority of intercity trips in Texas for the past several decades. Expansion of roadways or adding additional intercity flights has been a relatively straightforward way to address intercity travel demand; but, as highway construction becomes more costly, additional highway right-of-way in urban areas becomes scarce, aviation fuel and operational costs rise, and airport/airspace capacity is consumed due to an increasing number of flights, Texas may need to shift some investments to passenger rail or express bus transit service to maintain and

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Zheng, Xufang, and Peng Wei. "Air Transportation Direct Share Time Series Analysis and Forecast." In AIAA Aviation 2019 Forum. American Institute of Aeronautics and Astronautics, 2019. http://dx.doi.org/10.2514/6.2019-3187.

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Ershaghi, Iraj, and Donald L. Paul. "Great Opportunities for Young Professionals in Energy." In SPE Annual Technical Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/214793-ms.

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Abstract "Scientists discover the world that exists; engineers create the world that never was." Theodore Von Karman What will be the shape of the future in terms of energy use? What will be the sources of energy? What will be the major changes happening in the energy fields, what changes will result from engineering innovations, and how can AI and digital technologies change the energy engineering fields? Are there still opportunities for petroleum engineering graduates? How should the PTE curriculum be changed? The combination of Energy Transition and AI are two areas that will materially im

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DuRoss, Michael, Reza Taromi, Ardeshir Faghri, and Scott Thompson-Graves. "Spatial Allocation Effects of Forecast Land Uses on Statewide Mobile Source Emissions." In Transportation, Land Use, Planning, and Air Quality 2009. American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41059(347)7.

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chen, wenbo, and Yunchun Cao. "BP neural network based on Qingdao City air logistics demand forecast." In 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), edited by Said Easa and Wei Wei. SPIE, 2023. http://dx.doi.org/10.1117/12.2690117.

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Blondel, Elise, Guillaume Ducrozet, Fe´licien Bonnefoy, and Pierre Ferrant. "Deterministic Reconstruction and Prediction of a Non-Linear Wave Field Using Probe Data." In ASME 2008 27th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/omae2008-57558.

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The accurate simulation of non-linear sea states evolution over long time periods represents a great challenge, with number of applications in oceanography, marine engineering, security of people or marine transportation, etc... The aim of this study is to develop an efficient deterministic prediction model for irregular wave fields based on the exploitation of wave elevation time series given by one or more probes. We use the High-Order-Spectral model (HOS) to simulate numerically the wave field evolution, in order to take the non-linear effects up to a desired order into account. In this pap

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Strybel, Thomas, Vernol Battiste, Kim-Phuong L. Vu, et al. "Evaluation of Voice vs. Text Communication Modes in Simulated UAM Operations." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004744.

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Urban Air Mobility (UAM) is a system that is expected to operate within and around metropolitan environments, utilizing electric, vertical takeoff and landing (e-VTOL) aircraft, to create on-demand, highly automated passenger and cargo-carrying air transportation services. Many stakeholders are developing such systems, although several barriers to UAM operation remain. Two barriers being addressed in our simulation facility are pilot training and air traffic management operations. Although the UAM industry is focused on autonomous operations, the initial UAM operations will have ground or onbo

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Bruzek, Radim, Larry Biess, and Leith Al-Nazer. "Development of Rail Temperature Predictions to Minimize Risk of Track Buckle Derailments." In 2013 Joint Rail Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/jrc2013-2451.

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Track buckling due to excessive rail temperature is a major cause of derailments with serious consequences. To minimize the risk of derailments, slow orders are typically issued on sections of track in areas where an elevated rail temperature is expected and risk of track buckling is increased. While the slow orders are an important preventive safety measure, they are costly as they disrupt timetables and can affect time-sensitive shipments. Optimizing the slow order process would result in significant cost saving for the railroads. The Federal Railroad Administration’s (FRA’s) Office of Resea

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Ziakkas, Dimitrios, and Konstantinos Pechlivanis. "The Role of Artificial Intelligence in Transportation Safety Management Systems: The Aviation Safety II Case study." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005296.

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The aviation industry, renowned for its stringent safety standards, is increasingly embracing the Safety II approach, which focuses on understanding why operations succeed under varying conditions. This paper explores the transformative role of Artificial Intelligence (AI) in augmenting the Safety II approach in aviation. Traditional safety models, predominantly reactive, emphasize preventing what goes wrong (Safety I). In contrast, Safety II is proactive, aiming to enhance what goes right, thereby increasing overall system resilience.This research begins by delineating the core principles of

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Звіти організацій з теми "Air transportation forecasts"

Gallagher, Alex, Sandra LeGrand, Taylor Hodgdon, and Theodore Letcher. Simulating environmental conditions for Southwest United States convective dust storms using the Weather Research and Forecasting Model v4.1. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/44963.

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Dust aerosols can pose a significant detriment to public health, transportation, and tactical operations through reductions in air quality and visibility. Thus, accurate model forecasts of dust emission and transport are essential to decision makers. While a large number of studies have advanced the understanding and predictability of dust storms, the majority of existing literature considers dust production and forcing conditions of the underlying meteorology independently of each other. Our study works to-wards filling this research gap by inventorying dust-event case studies forced by conve

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Nasr, Elhami, Tariq Shehab, Nigel Blampied, and Vinit Kanani. Estimating Models for Engineering Costs on the State Highway Operation and Protection Program (SHOPP) Portfolio of Projects. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2365.

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The State Highway Operation and Protection Program (SHOPP) is crucial for maintaining California’s 15,000-mile state highway system, which includes projects like pavement rehabilitation, bridge repair, safety enhancements, and traffic management systems. Administered by Caltrans, SHOPP aims to preserve highway efficiency and safety, supporting economic growth and public safety. This research aimed to develop robust cost-estimating models to improve budgeting and financial planning, aiding Caltrans, the California Transportation Commission (CTC), and the Legislature. The research team collected

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Monetary Policy Report - April 2025. Banco de la República, 2025. https://doi.org/10.32468/inf-pol-mont-eng.tr2-2025.

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In March, inflation decreased - although less than anticipated - and remains above the 3% target. Over the next two years, it is expected that inflation will continue to decline, converging gradually toward the target. In March, annual headline inflation stood at 5.1% - slightly above the forecast - due to upward surprises in regulated items such as gas and urban transportation, as well as increases in processed foods. The decline in inflation is largely attributed to the cumulative effects of a still-restrictive monetary policy stance, indexation to lower inflation rates, and the moderation o

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