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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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Issue: May 2024
Volume 9 | Issue 5
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| Paper Title: | Bus Routine Prediction Technology |
| Authors Name: | Jagadheesh.B , DharshiniSri.G , Dharshan.D , Kirubadevi.M |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_215921
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| Published Paper Id: | IJNRD2403352 |
| Published In: | Volume 9 Issue 3, March-2024 |
| DOI: | |
| 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. |
| Keywords: | Bus Routine Prediction Technology |
| Cite Article: | "Bus Routine Prediction Technology", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.d404-d411, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403352.pdf |
| Downloads: | 00042 |
| 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 |
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Published Paper ID:IJNRD2403352 Registration ID: 215921 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: d404-d411 Country: Coimbatore, TAMIL NADU, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2403352 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2403352 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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