scholarly journals Utilizing Traveler Demand Modeling to Predict Future Commercial Flight Schedules in the NAS

Author(s):  
Jeffrey Viken ◽  
Samuel Dollyhigh ◽  
Jeremy Smith ◽  
Antonio Trani ◽  
Hojong Baik ◽  
...  
Author(s):  
Krittika Singh

The Internet of things is the internetworking of physical devices, vehicles, buildings, and other items—embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data. The IoT allows objects to be sensed and/or controlled remotely across existing network infrastructure, creating opportunities for more direct integration of the physical world into computer-based systems, and resulting in improved efficiency, accuracy and economic benefit in addition to reduced human intervention. In this research an expert system based upon the IOT is developed in which the next event in the flight schedules due to any kind of medical emergencies is to be predicted. For this the medical data of all the patients are to be collected through WBAN.


Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 448
Author(s):  
Marco Antonio Islas ◽  
José de Jesús Rubio ◽  
Samantha Muñiz ◽  
Genaro Ochoa ◽  
Jaime Pacheco ◽  
...  

In this article, a fuzzy logic model is proposed for more precise hourly electrical power demand modeling in New England. The issue that exists when considering hourly electrical power demand modeling is that these types of plants have a large amount of data. In order to obtain a more precise model of plants with a large amount of data, the main characteristics of the proposed fuzzy logic model are as follows: (1) it is in accordance with the conditions under which a fuzzy logic model and a radial basis mapping model are equivalent to obtain a new scheme, (2) it uses a combination of the descending gradient and the mini-lots approach to avoid applying the descending gradient to all data.


2021 ◽  
Vol 43 (2) ◽  
pp. 262-278
Author(s):  
Ariane Dupont-Kieffer ◽  
Sylvie Rivot ◽  
Jean-Loup Madre

The golden age of road demand modeling began in the 1950s and flourished in the 1960s in the face of major road construction needs. These macro models, as well as the econometrics and the data to be processed, were provided mainly by engineers. A division of tasks can be observed between the engineers in charge of estimating the flows within the network and the transport economists in charge of managing these flows once they are on the road network. Yet the inability to explain their decision-making processes and individual drives gave some room to economists to introduce economic analysis, so as to better understand individual or collective decisions between transport alternatives. Economists, in particular Daniel McFadden, began to offer methods to improve the measure of utility linked to transport and to inform the engineering approach. This paper explores the challenges to the boundaries between economics and engineering in road demand analysis.


2018 ◽  
Vol 39 (1) ◽  
pp. 92-109
Author(s):  
Arun Chandu

The early post-World War I period saw a dramatic increase in aviation activity in Australia. Using material from the National Archives of Australia, and from newspapers and journals, the development and significance of Australasian Aerial Transport is documented in the context of early post-World War I era progress of commercial aviation in Australia. Australasian Aerial Transport was one of these nascent aviation ventures and was the first in Australia to have planned scheduled passenger air services between the country’s major cities. This paper notes the visionary and speculative elements of Australasian Aerial Transport. The company never actually operated a single commercial flight, but the value of that experience is great and has been poorly documented.


1997 ◽  
Vol 30 (8) ◽  
pp. 381-386 ◽  
Author(s):  
Thomas F. Rossi ◽  
Yoram Shiftan

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