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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21664
Article Published : 8541
Total Authors : 22459
Total Reviewer : 811
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| Paper Title: | Vehicle Intelligence System |
| Authors Name: | Nitish Kailas Patil , Nutan Vinod Patil , Ghanshyam Devidas Phalak , Siddheshsingh Ganeshsingh Rathod , Dinesh D. Patil |
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IJRTI_204988
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| Published Paper Id: | IJRTI2506172 |
| Published In: | Volume 10 Issue 6, June-2025 |
| DOI: | |
| Abstract: | Vehicle Intelligence represents a breakthrough in web-based vehicle management systems, leveraging modern JavaScript frameworks, geospatial APIs, and machine learning to deliver unparalleled performance without relying on IoT or OBD-II connections. Our platform introduces three innovative components: (1) A computer vision-based parking slot detection system achieving 95.2% accuracy by combining LiDAR data processing with optimized GLCM texture analysis , (2) A predictive routing engine that reduces travel time by 22% through adaptive integration of OpenStreetMap with real-time traffic pattern analysis , and (3) A TypeScript-based dashboard framework that processes 10,000+ simultaneous vehicle data streams with sub-200ms latency. The system architecture demonstrates how modern web technologies (React 18, Node.js 18, WebSocket) can replace traditional embedded systems while maintaining rigorous performance standards. Comparative benchmarks show 40% faster parking detection than vision-only systems and 18% fuel efficiency gains over conventional routing approaches , establishing Vehicle Intelligence as a reference implementation for next-generation web-based transportation solutions. |
| Keywords: | Web-Based Vehicle Management, Predictive Routing, React Dashboard, Computer Vision Parking, Geospatial APIs, Real-Time Data Processing, Node.js and Express.js |
| Cite Article: | "Vehicle Intelligence System", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.b612-b618, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506172.pdf |
| Downloads: | 000435 |
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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: IJRTI2506172
Registration ID:204988
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier):
Page No: b612-b618 Country: Bhusawal, Maharashtra, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506172 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506172 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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