TransShare: A Peer-to-Peer Car Sharing Platform [Articol]

dc.contributor.authorHarton, Amalia-Nicolaen
dc.contributor.authorIrimia, Cosminen
dc.contributor.authorMatei, Madalinen
dc.date.accessioned2025-07-07T08:30:59Z
dc.date.issued2024
dc.description.abstractThis paper presents the implementation details and technological framework of “TransShare”, a distributed web application designed to facilitate the temporary sharing of private vehicles between users. The platform supports both the listing and rental of cars within the territory of Romania. The implementation has been reimagined using a peer-to-peer (P2P) mechanism to decentralize operations, improving system efficiency, scalability, and reducing reliance on central servers. Additionally, the platform integrates OpenAI for enhanced interaction but introduces an optimization layer to mitigate potential operational costs associated with AI queries. The system was developed using modern web technologies, namely the MERN (MongoDB, Express.js, React, and Node.js) stack, and adheres to the Model-View-Controller (MVC) architecture to ensure scalability, maintainability, and modularity.en
dc.identifier.citationHARTON, Amalia-Nicola; Cosmin IRIMIA and Mădălin MATEI. TransShare: A Peer-to-Peer Car Sharing Platform. In: International Conference dedicated to the 60th anniversary of the foundation of Vladimir Andrunachievici Institute of Mathematics and Computer Science, MSU, October 10-13 2024. Chisinau: [S. n.], 2024, pp. 319-324. ISBN 978-9975-68-515-3.en
dc.identifier.isbn978-9975-68-515-3
dc.identifier.urihttps://msuir.usm.md/handle/123456789/18266
dc.language.isoen
dc.subjectpeer-to-peer car sharingen
dc.subjectAI-driven optimizationen
dc.subjectcost-efficient operationsen
dc.subjectMERN stack architectureen
dc.titleTransShare: A Peer-to-Peer Car Sharing Platform [Articol]en
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Harton Amalia-Nicola_ 319-324.pdf
Size:
740.58 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections