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OALib Journal期刊
ISSN: 2333-9721
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Airline Booking System

DOI: -, PP. 12-18

Subject Areas: Computer and Network Security, Computer graphics and visualization, Complex network models, Communication Protocols, Computer Vision, Computational Robotics

Keywords: Airline website, CSS, HTML, online ticket booking, PHP, ticket booking website

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Abstract

A reservation system that is computerized has been used for retrieving and storing useful information that is related to travel. These reservation systems have been classified as the PSS or Passenger Service Systems for the purpose of handling critical functions in an airline. This helps in providing the latest art technology into a robust platform, that is flexible in the styling of an airline. Stable and secure systems in the airline industry depend on several architectures that primarily require usage of systems simultaneously. Airline ticket booking systems are conducted through websites and applications in recent times as the tide of technological advancement has impacted e-tourism. Companies design their websites to host a large number of users/customers while aiming to introduce advanced and engaging features. The paper aims at designing a website, based on HTML, CSS and PHP for an effective, quick and seamless airline ticket booking. Using a secondary methodological approach, the paper reveals that using HTML and CSS for website design can help in making the website more attractive and engaging, while PHP is utilised for the back-end designs. PHP is beneficial for such website design projects as it can give dynamic results. In conclusion, the designing of the website for airline ticket booking can simultaneously provide multiple operable features to the users. This study in the development of an airline reservation system has primarily used the concepts of Machine Learning and Artificial Intelligence. Artificial Intelligence and the technologies that are cognitive helps to ensure the data sense in automating the analytics, and the maintenance of machinery and other internal processes. These AI technologies have been proven useful in the different aspects for the management of airline operations.

Cite this paper

Shaikh, M. and Borate, R. (2023). Airline Booking System. Technoarete Transactions on Advances in Computer Applications, e8727. doi: http://dx.doi.org/-.

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