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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: Capital Bike Sharing System Using Regression
Authors Name: Sai Yashwant Konakalla , Kari Aparna Neha Chowdary , Kari Harshini , Sri Rama Murthy Sundaraneedi
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IJRTI_189697
Published Paper Id: IJRTI2404108
Published In: Volume 9 Issue 4, April-2024
DOI:
Abstract: Vehicle rental system is an essential service in the transportation industry that enables customers to rent cars, trucks, and other vehicles for personal or business use. In this research paper, we will analyze the key features of a vehicle rental system and the benefits it provides to customers and rental companies. We will also discuss the challenges faced by the industry and the technological solutions that can help overcome them. The process of sharing the bike on rental basis depending on the requirement of the user like hourly, weekly, or on the basis of the membership and so on. The stock rise of such phenomena or such companies was observed in recent days. The main motive behind such bike sharing campaigns or the notions is to minimize the carbon footprint, which helps in bringing a pessimistic climate change and may help in preventing the unpredicted natural disasters that are taking place because of the fossil fuels. The bike sharing notion also helps in preventing the depletion of the ozone layer as it decreases the usage of numerous vehicles at a time.
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Cite Article: "Capital Bike Sharing System Using Regression", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 4, page no.781 - 786, April-2024, Available :http://www.ijrti.org/papers/IJRTI2404108.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2404108
Registration ID:189697
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: 781 - 786
Country: Vijayawada, ANDHRA PRADESH, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2404108
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2404108
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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