Paper Title
Bus Routine Prediction Technology
Article Identifiers
Authors
Jagadheesh.B , DharshiniSri.G , Dharshan.D , Kirubadevi.M
Keywords
Bus Routine Prediction Technology
Abstract
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.
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How To Cite (APA)
Jagadheesh.B, DharshiniSri.G, Dharshan.D, & Kirubadevi.M (March-2024). Bus Routine Prediction Technology. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), d404-d411. https://ijnrd.org/papers/IJNRD2403352.pdf
Issue
Volume 9 Issue 3, March-2024
Pages : d404-d411
Other Publication Details
Paper Reg. ID: IJNRD_215921
Published Paper Id: IJNRD2403352
Downloads: 000121989
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
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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