Bus Routine Prediction Technology

Bus Routine Prediction Technology

Registration ID: IJNRD_215921

Published ID: IJNRD2403352

DOI: Click Here to Get

Jagadheesh.B , DharshiniSri.G , Dharshan.D , Kirubadevi.M

Bus Routine Prediction Technology

In the realism of urban mobility, our innovative bus routine prediction technology emerges as a groundbreaking solution aimed at redefining the public transportation experience. This project is centered around the meticulous analysis of extensive historical data encompassing bus arrival and departure times, complemented by a comprehensive examination of contextual factors such as traffic patterns and temporal events. By harnessing the power of advanced machine learning algorithms, this system transcends traditional scheduling approaches, providing commuters with highly accurate predictions for bus arrival times at specific locations. The integration of real-time data sources, including live traffic updates and GPS information from buses, further enhances the precision and adaptability of predictions, ensuring that users receive timely and relevant information. The user interface, designed with utmost attention to user experience, is not only intuitive but also seamlessly accessible on mobile devices, catering to the dynamic needs of users on the move. Beyond its technological prowess, the project fosters community engagement by incorporating feedback mechanisms, allowing users to actively contribute to the system's improvement. This scalable and user-centric technology not only optimizes the planning and execution of urban commuting but also represents a significant step towards a future where public transportation is characterized by predictability, efficiency, and a heightened user experience.

Published Paper   E-Certificate

"Bus Routine Prediction Technology", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 3, page no.d404-d411, March-2024, Available :https://ijnrd.org/papers/IJNRD2403352.pdf

Volume 9 Issue 3, March-2024

Pages : d404-d411

Paper Reg. ID: IJNRD_215921

Published Paper Id: IJNRD2403352

Downloads: 000121115

Research Area: Engineering

Country: Coimbatore, TAMIL NADU, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2403352.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403352

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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