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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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| Paper Title: | ON BOARD DIAGNOSTIC SYSTEM |
| Authors Name: | Shaikh Sahil Akbar , Shaikh Afsar Balam , Shaikh Anjar M.Riyaz , Vishal.A.Aher |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_197724
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| Published Paper Id: | IJNRD2305824 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | Automobile manufacturing industry is an everdeveloping industry driven to satisfy consumer’s needs focusing on key factors like performance, comfort, luxury, eco-friendliness and most importantly driver and passenger safety. Driver profiling in modern times is a decisive and convenient method ensuing driver and passenger safety. This project offers a knowledge base outline to the consumer for On-Board Diagnostics (OBD) and Driver Profiling. On-Board Diagnostics assists the user in car maintenance by enlisting Diagnostic Trouble Codes (DTC) from the car’s Engine Control Unit (ECU) using an Android application. The second aspect of this project, i.e. to profile the driver’s behaviour is proposed in two different approaches, offering mathematical, visual and analytical analysis of consumer’s driving behaviour. A simple, immediate and cost-effective approach to profile driver behaviours using GPS co-ordinates is accessible on the same Android application proposed for On-Board diagnostics. An alternate detailed, novel approach to profile driver behaviour is based on car engine parameters such as Engine speed/rpm, Vehicular Speed, Engine load & Throttle valve; is modeled using Data Analytics & unsupervised Machine Learning techniques. Key Words: On-Board Diagnostics (OBD), Diagnostic Trouble Codes (DTC), Driver behaviour Profiling, Risk Score, K-means clustering, Elbow method, Machine Learning, Data Analytics. |
| Keywords: | On-Board Diagnostics (OBD), Diagnostic Trouble Codes (DTC), Driver behaviour Profiling, Risk Score, K-means clustering, Elbow method, Machine Learning, Data Analytics. |
| Cite Article: | "ON BOARD DIAGNOSTIC SYSTEM", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.i187-i191, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305824.pdf |
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| 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:IJNRD2305824 Registration ID: 197724 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: i187-i191 Country: Ahemednagar, Maharashtra, India Research Area: Electronics & Communication Engg. Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305824 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305824 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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