Harshal Shailesh Bharambe
, Yashita Sunil Rajkotia , Anuja Ganesh Rothe , Rishikesh Ashok More
Flight Planning is one of the demanding situations in commercial world, which faces many unsure conditions. There is such condition in delay occurrence, which stems from various factors and imposes considerable costs on airlines, operators, and travellers. Delays in departure can occur due to bad weather conditions, seasonal and holiday demands, airline policies, technical problems such as problems with airport facilities, baggage handling and mechanical equipment, and the accumulation of delays from previous flights. In This flight delay prediction system based on the Aviation Data, which can result in delays. The system considers the of various parameters. Random Forest (RF), K-Nearest Neighbour (KNN) and Support Vector Machine (SVM) are the algorithm used in this system.
"Flight Delay Prediction", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 3, page no.396 - 399, March-2023, Available :https://ijsdr.org/papers/IJSDR2303061.pdf
Volume 8
Issue 3,
March-2023
Pages : 396 - 399
Paper Reg. ID: IJSDR_204410
Published Paper Id: IJSDR2303061
Downloads: 000347438
Research Area: Information Technology
Country: Panvel, Maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
