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Academic literature on the topic 'Delayed Flights'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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Journal articles on the topic "Delayed Flights"

1

Mukhina, Maryna, and Artem Nikulin. "Delayed Fuel Consumption Optimization System." Electronics and Control Systems 1, no. 71 (2022): 55–60. http://dx.doi.org/10.18372/1990-5548.71.16826.

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In this work, we considered the problem of optimizing the crowd during aircraft delays before landing. Having examined the statistics, we can conclude that there was a constant increase in passenger traffic from 2013 to 2018. But also due to the constant growth of passenger traffic, the percentage of flights with delays is increasing. The problem is that that most of the flights accounted for a small percentage of the most "popular" airports (In Ukraine, 75 percent of all flights accounted for the airports of Boryspil and Zhuliany). Although since 2019 the number of air travel around the world has dropped sharply over time, the number of air travel will return to the previous number and even continue to grow. Also, a new problem has now arisen for air carriers - a significant increase in aviation fuel prices. According to the Mundi Index, since December 2021, there has been a constant increase in the price of fuel for aircraft. This is an additional incentive for airlines to optimize their routes in order to avoid unnecessary fuel costs. In this work, on the example of a flight for a Boeing 737 from Riga to Odessa, two parameters were considered, when changing which it is possible to minimize fuel costs during a delay. An algorithm was also developed to optimize crowd costs on flights with delays.

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Windusari, A. A. Ayu Diah, and Hisar Manongam Pasaribu. "A Statistical Review of European Carriers’ Flight Delays and the Assessment of Delay Factors." Warta Penelitian Perhubungan 35, no. 2 (2024): 172–88. http://dx.doi.org/10.25104/warlit.v35i2.2313.

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Disruption is an inherent risk that might arise because of the complexity and dynamic nature of air transport operations. In the aviation business, disruption can happen for a variety of reasons, including poor weather, strikes, and political factors. This study aims to analyse flight delays that European airlines encounter and assess the dependencies between different operation parameters through correspondence analysis in contingency tables that are visually represented using correspondence maps. This study examined data from selected European airlines between 2018 and 2022, which contained information on the length of delay, the reasons associated with it, and the specific characteristics of each flight, such as the type of flight, the type of aircraft, and the scheduled departure time. The result showed that even though there was a large decrease in the overall number of flights operated during the pandemic period in 2020 and 2021, the percentage of delayed flights still varies above 55%. Long-haul flights and larger aircraft tend to have longer delays. Except for 2020 and 2021, the percentage of delayed flights for different lengths of delays and scheduled departure times did not significantly change across the review years. The evaluation reason for delay appeared to increase with time due to airport or authority restrictions, while there was a tendency for the number of delayed flights related to technical aircraft, equipment, and ground operations to decrease. By developing an analysis of the root causes of flight delays using case studies that have already been published by different researchers and determining the degree to which an operating parameter contributes, we may provide guidelines for future studies that will uncover ways to minimize flight delays.

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Wang, Zicheng. "Research on key factors of flight delays in the United States based on data mining." Applied and Computational Engineering 55, no. 1 (2024): 98–109. http://dx.doi.org/10.54254/2755-2721/55/20241522.

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Flight delays in the United States pose a significant global challenge. With the continuous growth of the aviation industry, the increasing number of flights raises demands on transportation infrastructure, making flight delay a serious challenge affecting the aviation industry and passengers. Through comparative analysis, we found that the average flight duration and departure times of delayed flights were significantly later than those of non-delayed flights. Additionally, the delay rates were highest in California and lowest in Texas for both departure and arrival locations. Using cluster analysis, major airlines in the United States were classified into three categories. Factor analysis was employed to analyse the correlations among different factors. Logistic regression revealed a positive correlation between departure times, flight durations, and flight delays. Conversely, the day of the week showed a negative correlation with flight delays. These studies provide practical insights for improving flight punctuality and enhancing the aviation transportation system. This, in turn, aids airlines in optimizing operations and mitigating the adverse impacts of delays on the economy and passengers.

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Zámková, Martina, Martin Prokop, and Radek Stolín. "Factors Influencing Flight Delays of a European Airline." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 65, no. 5 (2017): 1799–807. http://dx.doi.org/10.11118/actaun201765051799.

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The main aim of the paper was to investigate factors influencing flight delays of a European airline. Besides the identification and analysis of those factors the paper offers possible suggestions on how to eliminate the delays. The research is based on data acquired over the period of time spanning from June to September in 2008 – 2014. Analysis of contingency tables, including Pearson’s chi‑squared test, has been used for data processing. The dependencies have been presented in graphical form by using correspondence maps. The proportion of delayed flights reaches approx. 50 % during nearly the entire monitored period only in September the proportion drops to 45 %. Flight delays are most frequently caused by delays of previous flights of the same plane. These previous delayed flights are the main culprit of long delays and the frequency of delay occurrence caused by this reason increases significantly during the day. Longer delays of flights appear also due to technical maintenance or aircraft defects. On the contrary other factors such as operational control and crew duty norms, air traffic control and airport limitations tend to cause rather shorter delays of flights with the air traffic control encountering more problems with coordination of flights in the early morning. The supply and service companies also manage to eliminate long delays.

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Zámková, Martina, Stanislav Rojík, Martin Prokop, and Radek Stolín. "Factors Affecting the International Flight Delays and Their Impact on Airline Operation and Management and Passenger Compensations Fees in Air Transport Industry: Case Study of a Selected Airlines in Europe." Sustainability 14, no. 22 (2022): 14763. http://dx.doi.org/10.3390/su142214763.

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This paper aims to analyze the causes of flight delays of a selected airline operating in Europe and identify potential risks and reasons for delays in air transport, which carry risk, especially in connection with passenger dissatisfaction and the resulting need to pay compensation for delayed flights, according to EU law, which brings significant financial costs for airlines. Data collected from the years 2013–2019 have been used for the purposes of this article, including data on the duration and causes of the delays and the characteristics of individual flights, such as the flight type, aircraft type, time of departure, aircraft capacity, and the load factor. Multidimensional statistics methods have been applied for data processing, namely tests of independence and correspondence analysis. Dependencies have been presented in graphical form using correspondence maps. The analysis shows that the total share of delayed flights of the company in question does not increase over the mentioned period of time. The analysis furthermore proved that higher capacity aircraft were rather prone to longer delays. The share of delayed charter flights declined slightly over the period under review, while the number of delays caused by airline operating reasons, aircraft clearance by supplier companies, technical maintenance and aircraft defects, operating procedures, and crew flight standards and airport restrictions is increasing. The analysis also shows that the delays propagated by the delays of the previous flights are becoming more frequent, with the exception of the year 2019. In the last pre-COVID year, air traffic control could boast about a positive trend regarding the number of produced delays over the years, contributing to greater air passenger satisfaction and airline service quality. Due to the gradual revival of air transport after the COVID pandemic lockdowns, the topic of flight delays, passenger customer satisfaction and financial costs for the resulting delays is once again an actual issue for air management and operation.

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Crystelle, Faith C. Aragay Molave A. Borja Hazel Marie J. Villarubia Ara Mae T. Cuison MSc. "The Influence of Delayed Flights on the Emotional Response and Behavioral Intention of Airline Passengers." International Journal of Business Management and Technology 6, no. 2 (2023): 296–302. https://doi.org/10.5281/zenodo.7676512.

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The study entitled, The Influence of Delayed Flights on Emotional Response and Behavioral Intention of Airline Passengers aimed to determine the relationship between the influence of delayed flights on airline passengers in terms of emotional response and behavioral intention from the 261 airline passengers in Francisco Bangoy International Airport, Davao City. The study used descriptive correlational research to determine the relationship between 2 variables from the same respondents. The researchers found out that the airline passengers in Francisco Bangoy International Airport, Davao City, showed a high emotional response and behavioral intention towards flight delays. There was a moderate positive relationship between emotional response and behavioral intention of airline passengers toward delayed flights. Furthermore, this study recommended that the Civil Aviation Authority of the Philippines and the airline companies review the operating system and conduct training for the employees to improve the delivery of their services. Tourism Professors may include topics on airline passenger complaints, specifically in the Transportation Management subject and the Work Integrated Learning subject, to improve the handling of airline passenger

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Leffers, Christiane. "Price Reduction for Delayed International Flights." Air and Space Law 22, Issue 6 (1997): 312–16. http://dx.doi.org/10.54648/aila1997043.

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Sherry, Lance. "A model for estimating airline passenger trip reliability metrics from system-wide flight simulations." Journal of Transport Literature 7, no. 2 (2013): 319–37. http://dx.doi.org/10.1590/s2238-10312013000200017.

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Analysis of the benefits of government modernization initiatives for airports or air traffic control are conducted using complex software models that simulate up to 60,000 flights per day. These flight-centric simulations do not model passenger flows and therefore do not account for passenger trip delays due to cancelled flights and missed connections, which account for up to 60% of the total passenger trip delays. This paper describes a closed-form model for estimating passenger trip reliability metrics from flight delay data from system-wide simulations. The outputs of the model, (i) percent passengers disrupted, (ii) average passenger trip delay, and (iii) total passenger trip delays, are derived from the probability of delayed flights and network structure parameters. The model highlights the role of network structure, in addition to flight on-time performance, on passenger trip reliability. These results have implications for government and industry initiatives to improve flight on-time performance through modernization, consumer protection, and the conduct of benefits analysis.

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Xing, Zhi Wei, Jiang Yu, and Hong Yue Lu. "Optimal Control of Flight Delays Allocation at Airport." Applied Mechanics and Materials 513-517 (February 2014): 4494–98. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.4494.

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Aiming at improving the unreasonable situation of flight delay allocation, an optimization model which contains two cases was proposed. One of the cases is to transfer all the delay to several delayed flights to avoid delay spread, which can increase the flight punctuality rate to ensure the departure of the majority flights. Oppositely, the other is to balance the delay losses of airlines, as well as the passengers, for realizing the fairness. According to the latest data from an airport in western China, the model was verified with genetic algorithm, which indicates that the model not only decrease the total delay losses, but also optimize the flight delay allocation which achieves the initial goal.

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Yhdego, Tsegai O., An-Tsun Wei, Gordon Erlebacher, Hui Wang, and Miguel G. Tejada. "Analyzing the Impacts of Inbound Flight Delay Trends on Departure Delays Due to Connection Passengers Using a Hybrid RNN Model." Mathematics 11, no. 11 (2023): 2427. http://dx.doi.org/10.3390/math11112427.

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Some delay patterns are correlated to historical performance and can reflect the trend of delays in future flights. A typical example is the delay from an earlier inbound flight causing delayed departure of a connecting and downstream outbound flight. Specifically, if an arriving aircraft arrives late, the connecting airline may decide to wait for connecting passengers. Due to the consistent flow of passengers to various destinations during a travel season, similar delay patterns could occur in future days/weeks. Airlines may analyze such trends days or weeks before flights to anticipate future delays and redistribute resources with different priorities to serve those outbound flights that are likely to be affected by feeder delays. In this study, we use a hybrid recurrent neural network (RNN) model to estimate delays and project their impacts on downstream flights. The proposed model integrates a gated recurrent unit (GRU) model to capture the historical trend and a dense layer to capture the short-term dependency between arrival and departure delays, and, then, integrates information from both branches using a second GRU model. We trained and tuned the model with data from nine airports in North, Central, and South America. The proposed model outperformed alternate approaches with traditional structures in the testing phase. Most of the predicted delay of the proposed model were within the predefined 95% confidence interval. Finally, to provide operational benefits to airline managers, our analysis measured the future impact of a potentially delayed inbound feeder, (PDIF) in a case study, by means of identifying the outbound flights which might be affected based on their available connection times (ACTs). From an economic perspective, the proposed algorithm offers potential cost savings for airlines to prevent or minimize the impact of delays.

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Dissertations / Theses on the topic "Delayed Flights"

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Smith, R. Marshall. "A method for determining and reducing transport delays in the flight simulation environment." Thesis, This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-10242009-020229/.

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Yuan, Duojia, and S3024047@student rmit edu au. "Flight Delay-Cost Simulation Analysis and Airline Schedule Optimization." RMIT University. Aerospace, Mechanical, Manufacturing Engineering, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080618.092923.

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In order to meet the fast-growing demand, airlines have applied much more compact air-fleet operation schedules which directly lead to airport congestion. One result is the flight delay, which appears more frequently and seriously; the flight delay can also significantly damage airline's profitability and reputation The aim of this project is to enhance the dispatch reliability of Australian X Airline's fleet through a newly developed approach to reliability modeling, which employs computer-aided numerical simulation of the departure delay distribution and related cost to achieve the flight schedule optimization. The reliability modeling approach developed in this project is based on the probability distributions and Monte Carlo Simulation (MCS) techniques. Initial (type I) delay and propagated (type II) delay are adopted as the criterion for data classification and analysis. The randomicity of type I delay occurrence and the internal relationship between type II delay and changed flight schedule are considered as the core factors in this new approach of reliability modeling, which compared to the conventional assessment methodologies, is proved to be more accurate on the departure delay and cost evaluation modeling. The Flight Delay and Cost Simulation Program (FDCSP) has been developed (Visual Basic 6.0) to perform the complicated numerical calculations through significant amount of pseudo-samples. FDCSP is also designed to provide convenience for varied applications in dispatch reliability modeling. The end-users can be airlines, airports and aviation authorities, etc. As a result, through this project, a 16.87% reduction in departure delay is estimated to be achieved by Australian X Airline. The air-fleet dispatch reliability has been enhanced to a higher level - 78.94% compared to initial 65.25%. Thus, 13.35% of system cost can be saved. At last, this project also achieves to set a more practical guideline for air-fleet database and management upon overall dispatch reliability optimization.

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Bai, Yuqiong. "ANALYSIS OF AIRCRAFT ARRIVAL DELAY AND AIRPORT ON-TIME PERFORMANCE." Master's thesis, University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2573.

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In this research, statistical models of airport delay and single flight arrival delay were developed. The models use the Airline On-Time Performance Data from the Federal Aviation Administration (FAA) and the Surface Airways Weather Data from the National Climatic Data Center (NCDC). Multivariate regression, ANOVA, neural networks and logistic regression were used to detect the pattern of airport delay, aircraft arrival delay and schedule performance. These models are then integrated in the form of a system for aircraft delay analysis and airport delay assessment. The assessment of an airport¡¯s schedule performance is discussed. The results of the research show that the daily average arrival delay at Orlando International Airport (MCO) is highly related to the departure delay at other airports. The daily average arrival delay can also be used to evaluate the delay performance at MCO. The daily average arrival delay at MCO is found to show seasonal and weekly patterns, which is related to the schedule performance. The precipitation and wind speed are also found contributors to the arrival delay. The capacity of the airport is not found to be significant. This may indicate that the capacity constraint is not an important problem at MCO. This research also investigated the delays at the flight level, including the flights with delay ¡Ý0 minute and the flights with delay ¡Ý15min, which provide the delay pattern of single arrival flights. The characteristics of single flight and their effect on flight delay are considered. The precipitation, flight distance, season, weekday, arrival time and the time spacing between two successive arriving flights are found to contribute to the arrival delay. We measure the time interval of two consecutive flights spacing and analyze its effect on the flight delay and find that for a positively delayed flight, as the time space increases, the probability of the flights being delayed will decrease. While it was possible to calculate the immediate impact of originating delays, it is not possible to calculate their impact on the cumulative delay. If a late departing aircraft has no empty space in its down line schedule, it will continue to be late. If that aircraft enters a connecting airport, it can pass its lateness on to another aircraft. In the research we also consider purifying only the arrival delay at MCO, excluding the flights with originating delay >0. The model makes it possible to identify the pattern of the aircraft arrival delay. The weather conditions are found to be the most significant factors that influence the arrival delay due to the destination airport.<br>M.S.<br>Department of Civil and Environmental Engineering<br>Engineering and Computer Science<br>Civil Engineering

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Heinrich, Aaron David. "Delayed neutrons from the neutron irradiation of ²³⁵U." Texas A&M University, 2008. http://hdl.handle.net/1969.1/85943.

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A series of experiments was performed with the Texas A&M University Nuclear Science Center Reactor (NSCR) to verify ²³⁵U delayed neutron emission rates. A custom device was created to accurately measure a sample's pneumatic flight time and the Nuclear Science Center's (NSC's) pneumatic transfer system (PTS) was redesigned to reduce a sample's pneumatic flight time from over 1,600 milliseconds to less than 450 milliseconds. Four saturation irradiations were performed at reactor powers of 100 and 200 kW for 300 seconds and one burst irradiation was performed using a $1.61 pulse producing 19.11 MW-s of energy. Experimental results agreed extremely well with those of Keepin. By comparing the first ten seconds of collected data, the first saturation irradiation deviated ~1.869% with a dead time of 2 microseconds, while the burst irradiation deviated ~0.303% with a dead time of 5 microseconds. Saturation irradiations one, three and four were normalized to the initial count rate of saturation irradiation two to determine the system reproducibility, and deviated ~0.449%, ~0.343% and ~0.389%, respectively.

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Haney, Lisa L. "Surface induced dissociation of small molecules and peptides utilizing delayed extraction with tandem time-of-flight mass spectrometery [sic] /." free to MU campus, to others for purchase, 1999. http://wwwlib.umi.com/cr/mo/fullcit?p9962529.

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Matsutani, Megumi. "Robust adaptive flight control systems in the presence of time delay." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/79339.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2013.<br>This electronic version was submitted and approved by the author's academic department as part of an electronic thesis pilot project. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from department-submitted PDF version of thesis.<br>Includes bibliographical references (p. 161-165).<br>Adaptive control technology is a promising candidate to deliver high performance in aircraft systems in the presence of uncertainties. Currently, there is a lack of robustness guarantees against time delay with the difficulty arising from the fact that the underlying problem is nonlinear and time varying. Existing results for this problem have been quite limited, with most results either being local or at best, semi-global. In this thesis, robust adaptive control for a class of plants with global boundedness in the presence of time-delay is established. This class of plants pertains to linear systems whose states are accessible. The global boundedness is accomplished using a standard adaptive control law with a projection algorithm for a range of non-zero delays. The upper bound of such delays, i.e. the delay margin, is explicitly computed. The results of this thesis provide a highly desirable fundamental property of adaptive control, robustness to time-delays, a necessary step towards developing theoretically verifiable flight control systems.<br>by Megumi Matsutani.<br>Ph.D.

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Sarmadi, Sepehr 1977. "Minimizing airline passenger delay through integrated flight scheduling and aircraft routing." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/29401.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering; and, (S.M.)--Massachusetts Institute of Technology. Operations Research Center, 2004.<br>Includes bibliographical references (p. 83-86).<br>Statistics show that airline flight delays and cancellations have increased continuously over the period from 1995 to 2000. During the same period, customer dissatisfaction and complaints have followed a similar, even more dramatic trend. In 2001, as a consequence of the September 1 th terrorist attacks and the resulting airline schedule reductions, delay levels decreased, but only temporarily. With growing passenger demands and stagnant capacity passenger delays and disruptions are again on the rise. Approaches to mitigate schedule disruptions include: 1) re-optimizing the schedule during operations after a disruption occurs. For example, an airline operations controller might decide to cancel or postpone some flight legs or to re-route some aircraft to recover the rest of the schedule; and 2) building robustness into the schedule in the planning stage. By robustness we mean the ability to absorb flight delays so these effects are minimized on passengers and crews. In many cases, trying to reduce delays in the planning stage can be less costly for the airlines, especially if the actions suggested to modify the schedule are not expensive. Pushing back a flight's departure time only ten minutes might cost the airline little but can potentially reduce the number of passenger misconnections given the stochastic nature of airline operations. Canceling a flight during operations for example, can be however very costly. The primary goal of this research is to propose planning models to re-route aircraft and re-time flight departures, either separately or simultaneously, in order to distribute slack time in the network optimally and reduce passenger delays. Using data from a major U.S. airline we observe that with our model, we can reduce flight and passenger delay levels.<br>by Sepehr Sarmadi.<br>S.M.

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Vandehzad, Mashhood. "Efficient flight schedules with utilizing Machine Learning prediction algorithms." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20663.

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While data is becoming more and more pervasive and ubiquitous in today’s life, businesses in modern societies prefer to take advantage of using data, in particular Big Data, in their decision-making and analytical processes to increase their product efficiency. Software applications which are being utilized in the airline industry are one of the most complex and sophisticated ones for which conducting of data analyzing techniques can make many decision making processes easier and faster. Flight delays are one of the most important areas under investigation in this area because they cause a lot of overhead costs to the airline companies on one hand and airports on the other hand. The aim of this study project is to utilize different machine learning algorithms on real world data to be able to predict flight delays for all causes like weather, passenger delays, maintenance, airport congestion etc in order to create more efficient flight schedules. We will use python as the programming language to create an artifact for our prediction purposes. We will analyse different algorithms from the accuracy perspective and propose a combined method in order to optimize our prediction results.

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Nilsson, Andreas. "Analysis of robustness and delay propagation in Scandinavian Airlines swedish flight traffic program." Thesis, KTH, Matematik (Inst.), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-99174.

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Sun, He S. M. Massachusetts Institute of Technology. "An integrated model of flight and passenger delay for policy analysis in the National Air Transportation System." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104329.

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Thesis: S.M. in Transportation, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2016.<br>Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (page 99).<br>Demand for air travel has increased over the years and so have airport delays and congestion. Delays have a huge impact on airline costs and influence the satisfaction of passengers, thus becoming an important topic of research in the field of air transportation. In recent literature, a Passenger Delay Calculator (PDC) was proposed to estimate passenger delays. The PDC computes passenger delays for a specified day based on actual flight schedules, fight cancellation information, and ticket booking information. However, since actual fight schedules are a necessary input, the PDC cannot be applied directly to hypothetical scenarios, in which different cancellation strategies are implemented and their impact on passenger delays are evaluated. A different model. Airport Network Delays (AND), has also been developed recently. The AND model estimates fight delays and relies on an input in which demand consists of the national planned fight schedule for any given day. In this thesis, we have attempted to incorporate these two models, the AND and the PDC, within a single framework, so that the resulting new integrated model can compute passenger delays without requiring an actual flight-schedule input. The integrated model would certainly increase the usefulness and applicability of the PDC since it could be used with hypothetical scenarios, different flight cancellation strategies, etc. We first describe the framework of the integrated model for studying flight delays and passenger delays at a daily scale. The integrated model includes four components: a Tail Recovery Model, Flight Cancellation Algorithms, a Refined Airport Network Delay (RAND) model, and the PDC. The Tail Recovery Model recovers missing tail numbers for many flights recorded in the Aviation System Performance Metrics (ASPM) database. The Flight Cancellation Algorithms implement alternative strategies for flight cancellations in the presence of large delays, such as cancelling flights with long flight delays or flights with a large ratio of flight delay divided by the seating capacity of the aircraft. The RAND model is an extension of the AND, in which two implicit assumptions of the AND model have been modified. The RAND model produces better estimates of flight delays in the sense of replicating actual flight delays obtained from the ASPM database. The overall integrated model is able to compute passenger delays and relies only on planned flight schedules rather than actual flight schedules. Moreover, the integrated model facilitates the study of factors that influence flight delays, such as weather conditions and demand fluctuations, and evaluates the impact of different cancellation strategies on passenger delays. Using actual data from different days, we conclude that passenger delays can be reduced on the busiest traffic days through improved flight cancellation strategies. In the second part of the thesis, we extend the RAND model to compute flight delays on a monthly scale using different capacity profiles as input. These capacity profiles can be directly obtained from Federal Aviation Administration (FAA) reports or constructed by using classical machine learning algorithms on airport-level data. We validate our estimation of flight delays by using data of January, 2008, showing that both the capacity profiles and the RAND perform well in terms of replicating the actual monthly flight delays. These results imply that an effort can be made to develop an integrated model incorporating the RAND, the PDC etc. at a monthly scale or even at any generic time scale.<br>by He Sun.<br>S.M. in Transportation<br>S.M.

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Books on the topic "Delayed Flights"

1

McFarland, Richard E. CGI delay compensation. Ames Research Center, 1986.

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Facility, Dryden Flight Research, ed. In-flight evaluation of pure time delays in pitch and roll. National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1985.

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Facility, Dryden Flight Research, ed. In-flight evaluation of pure time delays in pitch and roll. National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1985.

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Facility, Dryden Flight Research, ed. In-flight evaluation of pure time delays in pitch and roll. National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1985.

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United States. Department of Transportation. Office of Inspector General. Actions needed to minimize long, on-board flight delays. U.S. Dept. of Transportation, Office of Inspector General, 2007.

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I, Chung Victoria, Martinez Debbie, and Langley Research Center, eds. Transport delays associated with the NASA Langley flight simulation facility. National Aeronautics and Space Administration, Langley Research Center, 1995.

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Fricke, Tim. Flight Control with Large Time Delays and Reduced Sensory Feedback. Universitätsbibliothek der TU München, 2017.

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Horowitz, Scott J. Measurement and effects of transport delays in a state-of-the-art F-16C flight simulator. Air Force Systems Command, Air Force Human Resources Laboratory, 1987.

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Aviation, United States Congress House Committee on Transportation and Infrastructure Subcommittee on. Reasons for, and reporting of, airline flight delays: Hearing before the Subcommittee on Aviation of the Committee on Transportation and Infrastructure, House of Representatives, One Hundred Fourth Congress, first session, July 27, 1995. U.S. G.P.O., 1996.

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United States. Congress. Senate. Committee on Commerce, Science, and Transportation. Airline service improvements: Hearing before the Committee on Commerce, Science, and Transportation, United States Senate, One Hundred Tenth Congress, first session, April 11, 2007. U.S. Government Printing Office, 2013.

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Book chapters on the topic "Delayed Flights"

1

Aljaly, Khaled, Omar Ayadi, Salem Sultan, and Faouzi Masmoudi. "The Effect of Flights Delayed on Passenger Load and Utilization of Airbus A320 Aircraft." In Applied Condition Monitoring. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-34190-8_16.

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Sharma, Richa, Rohit Kaushik, Mukkisa Indhu, Anupam Kumar, and Aman Kumar Upadhyay. "Flight delay prediction." In Smart Electric and Hybrid Vehicles. CRC Press, 2024. http://dx.doi.org/10.1201/9781003495574-9.

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Geng, Zhang, and Duan Yuan. "Analysis of Flight Delays." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66514-6_44.

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Zadrozny, Peter, and Raghu Kodali. "Analyzing Airlines, Airports, Flights, and Delays." In Big Data Analytics Using Splunk. Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-5762-2_10.

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Alomar, Iyad, Juri Tolujew, and Aleksandrs Medvedevs. "Analysis of Riga International Airport Flight Delays." In Lecture Notes in Networks and Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74454-4_50.

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Thokchom, Dhanachand, and Aditya Kumar Tiwary. "Impact of Runway Configuration on Flight Delays." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2905-4_19.

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Chen, HaiYan, JianDong Wang, and Hao Yan. "Modeling of Flight Delay State-Space Model." In Advanced Research on Computer Education, Simulation and Modeling. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21783-8_5.

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Rahul, R., S. Kameshwari, and R. Pradip Kumar. "Flight Delay Prediction Using Random Forest Classifier." In Lecture Notes in Electrical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3690-5_7.

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Hwang, S. K., S. M. Horng, and C. L. Chao. "An Analysis of Flight Delays at Taoyuan Airport." In Advances in Data Science and Information Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71704-9_45.

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Chen, Yixin, Zhao Yang, and Jiahuan Lu. "Prediction of flight delay reason based on time node data of transit flight." In Frontier Research: Road and Traffic Engineering. CRC Press, 2022. http://dx.doi.org/10.1201/9781003305002-66.

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Conference papers on the topic "Delayed Flights"

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Kong, Yong-Boon, David Peters, and J. V. "Development of a Finite State Dynamic Inflow Model for Coaxial Rotor using Analytical Methods." In Vertical Flight Society 73rd Annual Forum & Technology Display. The Vertical Flight Society, 2017. http://dx.doi.org/10.4050/f-0073-2017-12108.

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A finite state coaxial rotor dynamic inflow model can be developed by superposition of two single rotor pressure or velocity potentials. In the velocity potential superposition approach, time delays associated with upper rotor pressure perturbations at the lower rotor are inherently captured in the model inflow solutions. But adjoint velocity potential solutions used in the velocity potential model are computed by backward integration in time which introduces additional complexity for real-time flight simulations. Another approach which uses pressure potential superposition can be easily integrated into existing real-time flight software, but it does not predict time delays that exist in coaxial rotor systems. As such, a methodology for incorporating time delay terms associated with upper rotor inflow perturbations into the pressure potential superposition model is presented in this paper. It is shown that inclusion of time delay terms in the pressure potential superposition model captures the correct inflow phase responses at the lower rotor for different values of upper rotor thrust coefficient.

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Sheng, Chunhua. "Predictions of JVX Rotor Performance in Hover and Airplane Mode Using High-Fidelity Unstructured Grid CFD Solver." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9440.

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The Bell-Boeing Joint Vertical Experimental (JVX) rotor, which was tested at the Outdoor Aerodynamic Research Facility (OARF) at NASA Ames Research Center, is numerically investigated in the present study using an unstructured grid Navier-Stokes computational fluid dynamics solver U²NCLE. The JVX rotor hover figure of merit (FM) and propulsive efficiency (PE) in airplane mode are computed using a high-fidelity computational method. Grid resolution studies are performed and steady/unsteady simulation methods are assessed to evaluate the numerical impact on predicting rotor performance and capturing the trailing tip vortices. Four turbulence model options, Spalart's detached eddy simulation (DES), delayed detached eddy simulation (DDES), local correlation-based transition model (LCTM), and stall delay model (SDM) are investigated in detail for the JVX rotor performance prediction in both hover and airplane modes. The computational results suggested that the correct modeling of rotor flow physics is the key for accurate predictions of rotor performance especially at high collective angle/thrust levels.

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Morgan, Nathaniel, Caitlin Berrigan, Mark Lopez, and J. V. R. Prasad. "Application of Linear Quadratic Estimation (LQE) to Harmonic Analysis of Rotorcraft Vibration." In Vertical Flight Society 72nd Annual Forum & Technology Display. The Vertical Flight Society, 2016. http://dx.doi.org/10.4050/f-0072-2016-11462.

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Accurate, real-time harmonic analysis of rotor hub loads is critical to successful implementation of higher harmonic blade control for active vibration reduction. Several methods for harmonic analysis are currently available in the literature but suffer from time delays associated with windowing or filtering. Application of linear quadratic estimation (LQE) as a harmonic analyzer in conjunction with a linear time invariant (LTI) dynamic system model with harmonic decomposition of linear time periodic (LTP) model states is shown to provide accurate estimation of N/rev harmonic load components with little to no time delay.

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Masarati, Pierangelo, Georges Tod, Marilena Pavel, Vincenzo Muscarello, Giuseppe Quaranta, and François Malburet. "Adverse Aeroelastic Roll/Lateral Rotorcraft-Pilot Couplings Analysis." In Vertical Flight Society 72nd Annual Forum & Technology Display. The Vertical Flight Society, 2016. http://dx.doi.org/10.4050/f-0072-2016-11442.

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The paper investigates the basic mechanism of aeroservoelastic Pilot Assisted Oscillation phenomenon (PAO) about the roll axis due to the interaction with the pilot's arm biomechanics. The motivation stems from the observation that a rotor imbalance may occur as a consequence of rotor cyclic lead-lag modes excitation. The instability mechanism is analogous to the 'air resonance' phenomenon, in which the pilot's involuntary action plays the role of the AFCS. Using robust stability analysis, the paper demonstrates that, in particular, the introduction of a gain and a time-delay between the stick motion and the servoactuator displacements may reduce the gain and phase margins of the pilotvehicle system. The mechanism of instability proves that the pilot biodynamics is participating to the destabilization of the system by inputting energy directly into the flapping mode. This destabilizes the airframe roll motion which, in turn, causes lag motion imbalance. It is found that, depending on the value of the time delay involved in the lateral cyclic control, the body couples with rotor motion in a different way. In the presence of small or no time delays, body roll couples with the rotor through the lag degrees of freedom. The increase of the time delay to 140ms modifies this coupling: the body no longer couples with the rotor through lag but directly through flap motion.

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Leines Artieda, Denisse Mishell, Reuben-Wayne Stewart, and Moble Benedict. "Modeling and Experimental Validation of Underactuated Rotor Dynamics for Swashplate-less UAVs." In Vertical Flight Society 81st Annual Forum and Technology Display. The Vertical Flight Society, 2025. https://doi.org/10.4050/f-0081-2025-67.

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This study characterizes the dynamics of a novel lag-pitch-coupled underactuated rotor design that can be incorporated into rotary-wing unmanned aerial vehicles (UAVs) to provide pitch and roll control with effectiveness comparable to that of a conventional swashplate albeit with significantly lower mechanical complexity and weight. The concept integrates a single lag hinge tilted at a 45-degree angle located at the center of the rotor hub with independent flap hinges for each of the two blades. This idea relies on the ability to cyclically vary the angular velocity of the rotor in a 1/rev fashion via motor torque modulation, which induces a cyclic lag resulting in a cyclic pitch variation due to the tilted lag hinge (lag-pitch coupling) and causes the tip path plane (TPP) to tilt in a desired direction for pitch and roll control. To understand this concept, simulations using the Rotorcraft Comprehensive Analysis System (RCAS) were performed to capture the 1/rev response in lag, pitch, flap and moments under steady flight conditions. The predictions were validated using hover and wind tunnel experiments. The results show that the maximum lag and pitch response are delayed by 180° relative to the maximum input torque. Additionally, Blade-1 and Blade-2 have different flap responses, which lag the peak pitch response by phase delays of approximately 15° and 40°, respectively. Wind tunnel data indicated an inherent coupling between pitch and roll moments as a function of the advance ratio. Finally, a single main rotor helicopter UAV was built and flight-tested to demonstrate the effectiveness of the concept in both hover and high-speed forward flight.

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Chaderjian, Neal. "Navier-Stokes Simulation of UH-60A Rotor/Wake Interaction Using Adaptive Mesh Refinement." In Vertical Flight Society 73rd Annual Forum & Technology Display. The Vertical Flight Society, 2017. http://dx.doi.org/10.4050/f-0073-2017-12006.

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Time-dependent Navier-Stokes simulations have been carried out for a flexible UH-60A rotor in forward flight, where the rotor wake interacts with the rotor blades. These flow conditions involved blade vortex interaction and dynamic stall, two common conditions that occur as modern helicopter designs strive to achieve greater flight speeds and payload capacity. These numerical simulations utilized high-order spatial accuracy and delayed detached eddy simulation. Emphasis was placed on understanding how improved rotor wake resolution affects the prediction of the normal force, pitching moment, and chord force of the rotor. Adaptive mesh refinement was used to highly resolve the turbulent rotor wake in a computationally efficient manner. Moreover, blade vortex interaction was found to trigger dynamic stall. Time-dependent flow visualization was utilized to provide an improved understanding of the numerical and physical mechanisms involved with three-dimensional dynamic stall.

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Tran, Huy, and Seongkyu Lee. "Investigation of Blade Vortex Interaction Noise Reduction with Leading-Edge Serrations Using High-Fidelity Numerical Simulations." In Vertical Flight Society 81st Annual Forum and Technology Display. The Vertical Flight Society, 2025. https://doi.org/10.4050/f-0081-2025-173.

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Blade Vortex Interaction (BVI) noise primarily occurs in rotorcraft when tip vortices generated by the blades interact with other blades. When BVI noise occurs, it dominates at mid and high blade passing frequency harmonics. To mitigate BVI noise, we employ leading-edge serrations on the OLS rotor between 75% blade span and the tip. High-fidelity computational fluid dynamics simulations, using delayed detached eddy simulation, combined with an acoustic analogy, are conducted to analyze various leading-edge serration geometries with different serration height and wavelength parameters. The results show that rotor BVI noise is reduced by up to 5 dB at the rear of the vehicle when serrations are applied, with higher serration height-to-wavelength ratios proving more effective. The findings demonstrate that when vortices directly impinge on the rotor blades, the serrations disrupt the vortices and generate a fluctuating pressure field on the blade surface, leading to destructive phase interference at the far-field microphone locations.

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Chai, Yuan. "Machine Learning Application: Flight Delay Prediction." In International Conference on Data Analysis and Machine Learning. SCITEPRESS - Science and Technology Publications, 2024. https://doi.org/10.5220/0013486400004619.

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Kim, Jeewoong, Dustin Coleman, Vera Klimchenko, Byung-Young Min, and Brian E. Wake. "SB>1 Defiant® Wind Tunnel Test CFD Validation." In Vertical Flight Society 81st Annual Forum and Technology Display. The Vertical Flight Society, 2025. https://doi.org/10.4050/f-0081-2025-129.

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Current paper summarizes a correlation study of two flow solvers (CREATETE-AV Helios and Simcenter STAR-CCM+), routinely used at Sikorsky, with multiple model-scale wind-tunnel tests. The Helios modeling approach was aiming for a high-fidelity accurate simulation, whereas the STAR-CCM+ modeling approach was aiming for a fast turn-around time with reasonable solution accuracy with a relatively coarse mesh and simplifications. The two solvers generally agreed well with the test data within reasonable accuracy and captured the airloads and flowfield trends. The calculations presented herein show the impact of the turbulence model on component loads, the aerodynamic interactions among components, and the effect of transition modeling on rotor performance. The Reynolds-Averaged Navier-Stokes CFD model generally delayed separation and resulted in lower drag. By modeling the airframe supporting structure in CFD simulations, an improvement on correlation for inflow on the propeller plane was shown. Additionally, improvements in the rotor system L/De correlation were realized by including a turbulence-transition model, which reduces the rotor drag.

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Potsdam, Mark, Vineet Ahuja, Chandrashekhar Kannepalli, Andrea Zambon, and Hadassah Lapin. "Unsteady Blade Shape Optimization for Rotorcraft." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9453.

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Design Optimization for rotorcraft blades is challenging given that inherently unsteady phenomena and varying freestream conditions affect the aerodynamic performance of these blades. Consequently, steady design optimization methods may be of limited use in carrying out design studies for rotorcraft blades. On the other hand, the process of unsteady design optimization is handicapped by the cost of computing the unsteady aerodynamic objective function. The authors have developed a novel unsteady optimization approach that combines Computational Fluid Dynamics (CFD), a modified Proper Orthogonal Decomposition Procedure (POD) and an Artificial Neural Network (ANN) to evaluate the unsteady objective function with the accuracy of a time-spectral method but at a fraction of the cost. Subsequently, the unsteady optimization procedure has been used to carry out design optimization studies of pitching airfoils with dynamic stall. Traditionally these studies have been performed under constant freestream condition much like the manner in which experimental studies are undertaken to gauge performance of airfoil sections. In this paper, an unsteady optimization study of airfoil sections has been carried out for alleviating dynamic stall with varying freestream Mach number thereby incorporating the realistic effect of a rotating blade in forward flight. Knowledge extraction or the identification of patterns/rules from common properties of airfoil designs and their performance has been carried out with the help of Self-Organizing Maps (SOMs). Consequently, design rules can be identified that help in generating rotorcraft airfoil shapes that show superior airfoil performance including the delayed onset of dynamic stall.

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Reports on the topic "Delayed Flights"

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Yoel, David, Tina Sicilia, Matthew Bogaart, and Jeremy Fernandes. PR-417-203902-R01 Remote Sensing and Leak Detection Platform That Can Deploy Multiple Sensor Types. Pipeline Research Council International, Inc. (PRCI), 2024. http://dx.doi.org/10.55274/r0000052.

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The PRCI Project #417-203902 - ROW 3-1-A Final Report is attached for Member review and comment. The report includes a summary of all work completed in all Tasks which include: - Catalog, taxonomy, and sample data set for the threats detected. - Benchmarks of the sensitivity, accuracy, reliability, and robustness of an automated multi sensor, multi-threat detection and near real-time reporting comparing performance on conventional aircraft and UAS. - Technical synopsis for operators on integrating automated near real-time aerial threat reports into pipeline performance and safety improvement programs. - Report on status of integrating UAS into the National Airspace System in an application that contributes to improving the safety and integrity of the Nation's critical pipeline infrastructure. The project is complete. Full testing on the multi-spectral sensor is complete and Flight 4 of Phase 1 Flight Tests, scheduled for Oct/Nov 2021 was completed with approval of a no-cost extension in 2022. These delayed tasks are excusable due to delays caused in 2020 and 2021 by Novel Coronavirus (2019-nCoV), inclement weather and wildfires impacting several western states, and aviation delays (i.e., licenses from government authorities, misrepresentation of the specification and performance of the Sentera camera), which caused impacts to the contractor's capability to maintain a schedule under ROW 3-1-A and were completed under extension under ROW-3-1. The scope for this research project is to integrate PRCI Project ROW-3-1 multi-threat sensors, algorithms and communications systems onto the unmanned aircraft system (UAS); select Test Range(s) and complete Threat Staging Planning, while developing an Aviation Safety Case to the FAA for use of long endurance UAS on pipeline patrol. In addition, the project includes conducting UAS Test Program flights with automated multi-threat detection system on long endurance UAS flying hundreds of miles of pipeline corridor and perform analysis of data, benchmark automated threat detection system and UAS performance, report on advances in the integration of the remote sensing platform outputs with existing pipeline operator performance and safety programs. Lastly, it provided data of value to the FAA with respect to the integration of long-range Unmanned Aircraft Systems (UASs) into the National Airspace System. The program objectives stated in the contract include: - Produce a data set that enables benchmarking the sensitivity, accuracy, reliability and robustness of an automated multi-sensor, multi-threat detection and near real-time reporting system operating on a long-range Unmanned Aircraft System (UAS) for damage prevention and other pipeline integrity applications. - Generate data to compare and benchmark the detection and reporting system operating on conventional aircraft and UAS and with standard patrol methods for evaluating the value of integrating generated threat reports into performance and safety improvement programs. - Provide data to the United States Department of Transportation (US DOT) Federal Aviation Administration (FAA), PHMSA, and the PRCI research team to assist with information for safe integration of UAS into the National Airspace System for pipeline infrastructure.

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