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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19445
Article Published : 8041
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| Paper Title: | UNIVERSITY TRANSPORT CONNECT: REAL-TIME UNIVERSITY BUS TRACKING SYSTEM USING FLASK WEBSOCKET,AND MACHINE LEARNING PREDICTIVE ANALYSIS . |
| Authors Name: | Karthik C , Praveen Kumar N , Mrs. S. Scinthia Clarinda |
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IJRTI_200502
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| Published Paper Id: | IJRTI2501107 |
| Published In: | Volume 10 Issue 1, January-2025 |
| DOI: | |
| Abstract: | "University Transport Connect" (UTC) innovates campus transportation with real-time bus tracking and predictive analytics, Its primary objective is to streamline the commuting experience for users by delivering precise bus arrival times and ensuring seamless mobility. This solution addresses the critical need for improved mobility and time management within universities, surpassing existing systems that often lack precision and timely updates. University Transport Connect (UTC) integrates machine learning algorithms within Python's Flask framework and WebSocket technology to predict bus arrival times reliably. Starting with linear regression models, the project plans to advance to more sophisticated ensemble methods for increased prediction accuracy. Flask-SocketIO facilitates seamless communication between servers and clients, ensuring real- time updates on interactive maps powered by the Google Maps API. Each bus is uniquely identifiable for precise tracking, with location data stored in a scalable database system to ensure reliability. University Transport Connect (UTC) also offers personalized notifications, route optimization algorithms, and seamless integration with mobile platforms, enhancing user experience. Beyond educational institutions, Connect (UTC) also offers personalized notifications, route optimization algorithms, and seamless integration with mobile (UTC) sets a precedent for smart transportation solutions in urban environments, demonstrating technology's transformative potential in improving daily commutes and supporting sustainable campus mobility initiatives. |
| Keywords: | Flask framework, WebSocket technology, Machine learning predictive analytics, Flask-SocketIO |
| Cite Article: | "UNIVERSITY TRANSPORT CONNECT: REAL-TIME UNIVERSITY BUS TRACKING SYSTEM USING FLASK WEBSOCKET,AND MACHINE LEARNING PREDICTIVE ANALYSIS .", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 1, page no.a892-a895, January-2025, Available :http://www.ijrti.org/papers/IJRTI2501107.pdf |
| Downloads: | 000442 |
| 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 |
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Published Paper ID: IJRTI2501107
Registration ID:200502
Published In: Volume 10 Issue 1, January-2025
DOI (Digital Object Identifier):
Page No: a892-a895 Country: Chennai, Tamilnadu , India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2501107 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2501107 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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