scholarly journals Weather Analysis of Flight Delay at Husein Sastranegara Airport

2019 ◽  
Vol 4 (2) ◽  
pp. 89-98
Author(s):  
Yedi Dermadi ◽  
Shinta Devi Lukitasari ◽  
Annisaa Nurhayati
Keyword(s):  
Weather Conditions ◽  
Air Transportation ◽  
Weather Data ◽  
Flight Delays ◽  
Weather Forecasts ◽  
Weather Information ◽  
Directorate General ◽  
Flight Delay ◽  
Flight Cancellations ◽  
Bad Weather

Flight is an activity that is very vulnerable to weather conditions. The accuracy of weather information strongly supports flight activities. The effects of bad weather on flights include flight delays and flight cancellations. Based on data on flight delays from the Directorate General of Air Transportation of the Ministry of Transportation from January to March 2019 at Husein Sastranegara Airport, it is known that 20-30% of flight delays are caused by weather constraints. To estimate flight delays based on weather forecasts, weather data analysis is carried out to determine the type of weather that is endangering flights and causing flight delays. The analysis was carried out using the K-NN and Random Forest algorithms

scholarly journals Advanced Flight Planning and the Benefit of In-Flight Aircraft Trajectory Optimization

2021 ◽  
Vol 13 (3) ◽  
pp. 1383
Author(s):  
Judith Rosenow ◽  
Martin Lindner ◽  
Joachim Scheiderer
Keyword(s):  
New York ◽  
Traffic Control ◽  
Traffic Management ◽  
Trajectory Optimization ◽  
Service Providers ◽  
Weather Conditions ◽  
Air Traffic ◽  
Weather Data ◽  
Weather Forecasts ◽  
Aircraft Trajectory

The implementation of Trajectory-Based Operations, invented by the Single European Sky Air Traffic Management Research program SESAR, enables airlines to fly along optimized waypoint-less trajectories and accordingly to significantly increase the sustainability of the air transport system in a business with increasing environmental awareness. However, unsteady weather conditions and uncertain weather forecasts might induce the necessity to re-optimize the trajectory during the flight. By considering a re-optimization of the trajectory during the flight they further support air traffic control towards achieving precise air traffic flow management and, in consequence, an increase in airspace and airport capacity. However, the re-optimization leads to an increase in the operator and controller’s task loads which must be balanced with the benefit of the re-optimization. From this follows that operators need a decision support under which circumstances and how often a trajectory re-optimization should be carried out. Local numerical weather service providers issue hourly weather forecasts for the coming hour. Such weather data sets covering three months were used to re-optimize a daily A320 flight from Seattle to New York every hour and to calculate the effects of this re-optimization on fuel consumption and deviation from the filed path. Therefore, a simulation-based trajectory optimization tool was used. Fuel savings between 0.5% and 7% per flight were achieved despite minor differences in wind speed between two consecutive weather forecasts in the order of 0.5 m s−1. The calculated lateral deviations from the filed path within 1 nautical mile were always very small. Thus, the method could be easily implemented in current flight operations. The developed performance indicators could help operators to evaluate the re-optimization and to initiate its activation as a new flight plan accordingly.

KOMPENSASI SEBAGAI BENTUK TANGGUNG JAWAB PIHAK MASKAPAI PENERBANGAN DALAM KETERLAMBATAN JADWAL PENERBANGAN KOMERSIAL DI INDONESIA

2019 ◽  
Vol 7 (1) ◽  
pp. 124
Author(s):  
Asmarsha Qathrinada , ◽  
Pranoto ,
Keyword(s):  
Deductive Reasoning ◽  
Legal Protection ◽  
Air Transportation ◽  
Air Transport ◽  
Flight Delays ◽  
Reasoning Patterns ◽  
The Government ◽  
Flight Delay ◽  
Secondary Materials

<p>Abstract<br />This article aims to find out how legal protection is provided to passengers in commercial air transport <br />activities in Indonesia, especially regarding airline responsibilities to passengers and the compensation <br />provided in case of flight delays due to negligence of the carrier. This research is performed with legal <br />research, using prescriptive characteristic. The research is using statute approach by reviewing the <br />regulations related to the issues. The source of the research is derived from primary legal materials namely <br />legislation, secondary materials from legal literatures, as well as tertiary or non-legal legal material. The <br />collection of legal materials was done by literature studies, and analyzed with deductive reasoning patterns. <br />Based on the result of the research, it can be concluded that the regulation of compensations given by <br />the airlines to passengers has been quite well regulated in the Minister of Transportation Regulation <br />No. 89 of 2015, but in the implementation, the government is still less firm in cracking down on airlines <br />that do not carry out their responsibility of the compensation regulated in Regulation of the Minister of <br />Transportation Number 77 in year 2011.<br />Keywords: compensation; flight delay; commercial air transportation.</p><p>Abstrak<br />Artikel ini bertujuan mengetahui bagaimana perlindungan hukum yang diberikan kepada penumpang <br />dalam kegiatan angkutan udara komersial di Indonesia, khususnya mengenai tanggung jawab maskapai <br />penerbangan terhadap penumpang serta apa kompensasi yang diberikan apabila terjadi penundaan <br />penerbangan karena kelalaian pihak pengangkut. Penelitian ini dilakukan dengan penelitian hukum dan <br />bersifat preskriptif. Pendekatan penelitian berupa pendekatan undang-undang dengan menelaah regulasi <br />yang besangkutan dengan isu yang penulis angkat dalam penulisan ini. Sumber penelitian berasal dari <br />bahan hukum primer yaitu perundang-undangan, bahan sekunder dari kepustakaan hukum, serta bahan <br />hukum tersier atau non-hukum. Pengumpulan bahan hukum dilakukan dengan studi kepustakaan, dan <br />menganalisis dengan pola penalaran deduktif.  Berdasarkan hasil penelitian maka dapat disimpulkan <br />bahwa  pengaturan  mengenai  kompensasi  yang  diberikan  oleh  maskapai  penerbangan  terhadap <br />penumpang  telah cukup  baik  diatur dalam Peraturan Menteri Perhubungan Nomor 89 Tahun 2015, <br />namun dalam pelaksanaannya pemerintah masih kurang tegas dalam menindak maskapai yang tidak <br />melaksanakan tanggung jawabnya untuk memberikan kompensasi sesuai dengan Peraturan Menteri <br />Perhubungan Nomor 77 Tahun 2011.<br />Kata kunci: kompensasi; keterlambatan penerbangan; pengangkutan udara komersial.</p>

scholarly journals Flight Delay Prediction Using Machine Learning

2021 ◽  
pp. 473-476
Author(s):  
Prajwal Dhone ◽  
Uday Kirange ◽  
Rushabh Satarkar ◽  
Prof. Shashant Jaykar
Keyword(s):  
Machine Learning ◽  
Negative Impact ◽  
Weather Conditions ◽  
Current Data ◽  
Environmental Harm ◽  
Flight Delays ◽  
Adverse Weather Conditions ◽  
Adverse Weather ◽  
Flight Delay ◽  
Delay Prediction

In this fast growing world as airplanes continue flying, flight delays are the part of the experience. According to the Bureau Of Statistics(BOS), about 20% of all flights are delayed by 15 minutes or more. Flight delays causes a negative impact, mainly economical for airport authorities, commuters and airline industries as well. Furthermore, in the domain of sustainability, it can even cause environmental harm by the rise in fuel consumption and gas emissions and also some of the important factors including adverse weather conditions, preparing the aircraft, fixing of mechanical issue, getting security clearance, etc. Hence, these are the factors which indicates the necessity it has become to predict the delays of airline problems. To carry out the predictive analysis, which includes a range of statistical techniques from machine learning, this studies historical and current data to make predictions about the future delays, taking help of Regression Analysis using regularization technique used in Python.

scholarly journals Pertanggungjawaban Pidana Terhadap Pencurian Barang Penumpang Pesawat Studi Dibandara Udara Kualanamu Internasional Airport

2021 ◽  
Vol 20 (1) ◽  
pp. 118-126
Author(s):  
Anjani Sipahutar
Keyword(s):  
Air Transportation ◽  
Weather Factors ◽  
Flight Delays ◽  
Internal Factors ◽  
International Airport ◽  
Flight Delay ◽  
Transportation Company

This study aims to determine that there are still many events that are still require the liability from the commercial air transportation company, both from the carrier company and those who are related to the carrier, such as flight delays (flight delay) either caused by weather factors or internal factors from the carrier company, the occurrence of negligence from the transport officer which causes the loss of goods owned by passengers, or because of there is an event for which the reason is unknown so that the aircraft experiences interference during the flight, from the results of this research it can be seen that the carrier operating the aircraft is obliged to be responsible for losses against:a. passengers who died, disability or injury;b. lost or damaged of the cabin baggage;c. lost, destroyed, or damaged of the checked baggage;d. lost, destroyed, or damaged of the cargo;e. delay in air transportation; andf. losses suffered by third partiesas well as who are the parties involved, the requirements that must be fulfilled and how the rights and the obligations of the parties are fulfilled, as well as other provisions in its implementation if a passenger's goods are lost or damaged and provide a description of its protection.Keywords : Liability, Theft of Goods, Aircraft Passengers, Kualanamu International Airport.

scholarly journals A genetic algorithm for finding realistic sea routes considering the weather

2020 ◽  
Vol 26 (6) ◽  
pp. 801-825
Author(s):  
Stefan Kuhlemann ◽  
Kevin Tierney
Keyword(s):  
Genetic Algorithm ◽  
Fuel Consumption ◽  
Environmental Sustainability ◽  
Weather Conditions ◽  
Weather Data ◽  
Weather Forecasts ◽  
Travel Time Savings ◽  
Effective Decision ◽  
Effective Decision Support ◽  
The Impact

Abstract The weather has a major impact on the profitability, safety, and environmental sustainability of the routes sailed by seagoing vessels. The prevailing weather strongly influences the course of routes, affecting not only the safety of the crew, but also the fuel consumption and therefore the emissions of the vessel. Effective decision support is required to plan the route and the speed of the vessel considering the forecasted weather. We implement a genetic algorithm to minimize the fuel consumption of a vessel taking into account the two most important influences of weather on a ship: the wind and the waves. Our approach assists route planners in finding cost minimal routes that consider the weather, avoid specified areas, and meet arrival time constraints. Furthermore, it supports ship speed control to avoid areas with weather conditions that would result in high fuel costs or risk the safety of the vessel. The algorithm is evaluated for a variety of instances to show the impact of weather routing on the routes and the fuel and travel time savings that can be achieved with our approach. Including weather into the routing leads to a savings potential of over 10% of the fuel consumption. We show that ignoring the weather when constructing routes can lead to routes that cannot be sailed in practice. Furthermore, we evaluate our algorithm with stochastic weather data to show that it can provide high-quality routes under real conditions even with uncertain weather forecasts.

scholarly journals Use of Observational Weather Data and Forecasts in Emergency Management: An Application of the Theory of Planned Behavior

2018 ◽  
Vol 10 (2) ◽  
pp. 275-290
Author(s):  
Frauke Hoss ◽  
Paul Fischbeck
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Work Experience ◽  
Weather Data ◽  
Short Term ◽  
Weather Forecasts ◽  
Weather Information ◽  
Emergency Managers ◽  
Emergency Manager ◽  
Do So

Abstract Many factors affect the extent to which forecasts inform emergency responses. In a survey based on the Theory of Planned Behavior (TPB), 207 U.S. emergency managers (EMs) were asked about 1) their past and intended future use of short-term weather forecasts and recorded weather data, 2) the perceived limitations and 3a) their attitude toward the usefulness of such weather information, 3b) their attitude toward their job and toward uncertainty, 4) perceived social norms, and 5) self-assessed numeracy. Work experience was found to be the best predictor of whether an emergency manager relied on recorded weather data and short-term weather forecasts in the past or intends to do so in the future. Among TPB variables, mainly social expectations and data attitude drive the reliance on recorded weather data and short-term forecasts. The EMs’ perception of the weather information’s limitations is related to their perceptions of what their social surroundings think. In sum, this article sheds light on when and why EMs use weather data and forecasts and how training can be improved.

scholarly journals Meteorological Factors Affecting Airport Operations during the Winter Season in the Midwest

2018 ◽  
Vol 10 (2) ◽  
pp. 307-322 ◽  
Author(s):  
Jose A. Algarin Ballesteros ◽  
Nathan M. Hitchens
Keyword(s):  
United States ◽  
Meteorological Factors ◽  
Winter Season ◽  
Weather Conditions ◽  
The United States ◽  
Meteorological Factor ◽  
Flight Delays ◽  
Factors Affecting ◽  
Strong Winds ◽  
Flight Delay

Abstract During the coldest months of the year, weather systems bring a variety of winter weather to most of the continental United States in the form of snow, sleet, and freezing rain, which along with strong winds, low clouds, and reduced visibilities may create dangerous conditions. These weather conditions can result in major disruptions in air travel, leading to delays and cancellations of hundreds or thousands of flights, thus affecting the plans of millions of travelers. To assess the specific meteorological factors that prompt flight delays and cancellations in the Midwest region of the United States during wintertime, a comprehensive study was performed on nine of the largest airports (by passenger boardings) in the area. Flight delay and cancellation data from 11 winter seasons (2005–06 to 2015–16) were collected from the Bureau of Transportation Statistics (BTS) and analyzed along with climatological data from the National Centers for Environmental Information (NCEI). A classification scheme was developed, and each flight was categorized according to the meteorological factor that could have prompted its delay. The results of the study revealed that visibility was the main meteorological factor affecting midwestern airports, with low ceilings as a close second. Blizzards were the main cause for flight cancellations.

scholarly journals Remote sensing and interpolation methods can obtain weather data for disease prediction

2010 ◽  
Vol 63 ◽  
pp. 182-186
Author(s):  
K.S. Kim ◽  
G.N. Hill ◽  
R.M. Beresford
Keyword(s):  
Remote Sensing ◽  
Spatial Interpolation ◽  
Disease Risk ◽  
Disease Outbreaks ◽  
Weather Conditions ◽  
Weather Data ◽  
Climatic Data ◽  
Weather Station ◽  
Weather Information ◽  
Crop Disease

The risk of the appearance or the intensification of a crop disease can be assessed using information about the weather the pathogen or the crop Weather data for use in disease risk prediction can be obtained from measurements at a nearby weather station While weather measurements can represent accurate weather conditions at the site where the weather station is located these data are representative only of a small area near the station To obtain weather information over a larger area spatial interpolation and remote sensing can be used to estimate the likely weather conditions in other locations It is crucial to obtain weather data at an appropriate temporal resolution (eg daily or hourly) for a given disease in order to predict the disease A weather database system is being constructed to provide highquality climatic data (eg daily temperature humidity and rainfall) which can be used to quantify the link between weather conditions and disease outbreaks

Performance and Energy Saving Analysis of Grid Connected Photovoltaic in West Sumatera

2016 ◽  
Vol 7 (4) ◽  
pp. 1348 ◽  
Author(s):  
Syafii Ghazali ◽  
Refdinal Nazir
Keyword(s):  
Energy Saving ◽  
Weather Condition ◽  
Weather Conditions ◽  
Photovoltaic System ◽  
Weather Data ◽  
Solar Pv ◽  
Clear Sky ◽  
Cloudy Weather ◽  
West Sumatra ◽  
Bad Weather

<p>The paper presents performance and energy saving analysis of 1.25 kWp grid connected Photovoltaic system under difference weather condition in West Sumatera.  The measured data were performed during weather data that often occur in West Sumatra i.e. sunny, overcast, raining and cloudy. The synchronizing process successfully done even bad weather conditions when sunlight was low automatically. Photovoltaic in average start producing power from 7:00 AM to 6:00 PM for normal or clear sky, however under overcast, raining and cloudy weather, the PV power decreased and disconnected earlier before sunset. During intermittent raining, overcast and cloud covered the PV power output show an irregular profile. The PV energy saving performed for three residential connection cases: 1300 VA, 900 VA with subsidized and 900 VA without subsidized. The solar PV installation have more benefits and energy saving for 1300 VA, 900 VA without subsidized with payback period around 8.5 years. However, the 900 VA with subsidized take longer 20.8 years, but still in PV lifespan 25 years. In the future, household subsidies may be reduced or eliminated, the solar energy will be viable alternative of energy resources when it can produce electricity at a cost equivalent to utility grid PLN rate. </p>

CNN-based Rain Reduction in Street View Images

2020 ◽  
Vol 2020 (1) ◽  
pp. 78-81
Author(s):  
Simone Zini ◽  
Simone Bianco ◽  
Raimondo Schettini
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
State Of The Art ◽  
Weather Conditions ◽  
Specific Interest ◽  
Optical Character ◽  
Street View ◽  
In The Wild ◽  
Bad Weather ◽  
Detection And Recognition

Rain removal from pictures taken under bad weather conditions is a challenging task that aims to improve the overall quality and visibility of a scene. The enhanced images usually constitute the input for subsequent Computer Vision tasks such as detection and classification. In this paper, we present a Convolutional Neural Network, based on the Pix2Pix model, for rain streaks removal from images, with specific interest in evaluating the results of the processing operation with respect to the Optical Character Recognition (OCR) task. In particular, we present a way to generate a rainy version of the Street View Text Dataset (R-SVTD) for "text detection and recognition" evaluation in bad weather conditions. Experimental results on this dataset show that our model is able to outperform the state of the art in terms of two commonly used image quality metrics, and that it is capable to improve the performances of an OCR model to detect and recognise text in the wild.

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