Airline Route Profitability Analysis and Optimization Using BIG DATA Analyticson Aviation Data Sets under Heuristic Techniques

Kasturi, E.; Devi, S. Prasanna; Kiran, S. Vinu; Manivannan, S.

doi:10.1016/j.procs.2016.05.131

Cited by 29 publications

(17 citation statements)

References 24 publications

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“…Solving the problem with big data is one of the best approaches when the subject is so important, and the data is large scale. For this, Kasturi et al (2016) have optimized the airline routes by using big data analysis with heuristic approaches. There are some situations to be considered in this regard.…”

Section: Big Data Applications In Airline Industrymentioning

confidence: 99%

Advances in Big Data Applications for transportation: airline, highway, and railway

Rouyendegh¹,

Nacar

2021

CEREM

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Aim: The purpose of this article is to present the latest advances in big data applications in the industries of the transportation sector such as airline, highway, and railway. It is difficult to analyze data in transportation because there is continuous real-time data flow. Since the improvements made are fast with the same logic, it is necessary to catch up with the new developments. Data should be analyzed with the big data concept because data stacks highly contain non-structural data types in transportation data. Although the mentioned industries are complementary to each other, the applications differ depending on the needs of the industry. Thus, solutions to specific problems in different industries using big data applications should be addressed. Design / Research methods: In accordance with the purpose of the study, big data studies that provide added value to the transportation sector were examined. Studies have been filtered through some criteria which are whether the application is adaptable to the industry, the study is available online in full-text, and its references are from respectable sources. Conclusions / findings: All the big data application studies in the academy are not adaptable in real-life problems or suitable for all situations. For this reason, trying all of the applications will lead to moral and material losses for firms. This study is a guideline for companies to follow the developments in the big data concept and to choose the one that suits their problems. Thus, the gap between academia and industry was tried to close. Originality / value of the article: Although studies are referring to big data applications in the transportation sector, this study differs from others in terms of specifically analyzing big data applications in different industries such as airline, highway, and railway in the transportation sector

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Section: Big Data Applications In Airline Industrymentioning

confidence: 99%

Advances in Big Data Applications for transportation: airline, highway, and railway

Rouyendegh¹,

Nacar

2021

CEREM

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“…On this learn, the route profitability is optimized making use of bio-inspired algorithms like Firefly algorithm (FA), Bat algorithm (BA) and Cuckoo search algorithm (CSA), hybrid approach (BCF). [4,7] Dynamic Programming (DP) utilizing PL/SQLis used to search out the expected price of every route generated via FA, BA and CSA. Results: the target is to scale back the total expected price or maximize profit per airliner per route.…”

Section: Bio -Inspired Algorithms For Optimization Of Air Routementioning

confidence: 99%

Noise reduction by optimizing the aircraft route

Kasturi¹,

S²

2017

Int j curr adv res

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Aircraft route optimization is key area in which the airlineindustry is focusing. The optimization of the route results in the reasonable profit along with the considerable aviation noise.Aviation noise can never be completely avoided around but it can be reduced to some extent.Thepaper proposes a comparison with the four algorithms which optimizes the route along with the decibel of noise produced in that course. The results show the reduction in aviation noise when the route is optimized and the best is also obtained.

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“…Coefficient rules and ant colony optimization algorithms were used to offer solutions for route planning problems [21][22] have combined genetic algorithms with local search heuristics in their study to determine the shortest route between two points in Turkey, covering destinations all over 81 provinces in the country [22]. Analyzing large data sets, Kasturi et al (2016) [23] have determined key criteria for the aircraft and set new route plans. Data about the aircraft load, passengers, and airports were used for determining the key criteria.…”

Section: Introductionmentioning

confidence: 99%

Ontology-based Instantaneous Route Suggestion of Enemy Warplanes with Unknown Mission Profile

Çintaş

Ozyer

Hanay

2020

Sakarya University Journal of Science

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The routes of warplanes are planned confidentially, and they are not shared with any organization in advance. In some cases, border violations may occur, and as a result, it increases the tension between two states. This situation puts many people at risk and impairs the prestige of the state both economically and socially. In this paper, Ontology-Based Instantaneous Route Suggestion System (SUARSIS) based on semantic approach is proposed to predict and plan routes of warplanes before they reach their target. In the proposed system, we developed an architecture called Ontology-based Route Suggestion by using the OWL (Web Ontology Language) language with realistic data. The aircraft model, aircraft fuel system, features of the military field, and the relations in the semantic context are logically defined through ontology. Synthetic scenarios were created to validate the accuracy of the proposed method. Experimental results show that the proposed system has a good performance on predicting warplane routes.

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Airline Route Profitability Analysis and Optimization Using BIG DATA Analyticson Aviation Data Sets under Heuristic Techniques

Cited by 29 publications

References 24 publications

Advances in Big Data Applications for transportation: airline, highway, and railway

Advances in Big Data Applications for transportation: airline, highway, and railway

Noise reduction by optimizing the aircraft route

Ontology-based Instantaneous Route Suggestion of Enemy Warplanes with Unknown Mission Profile

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