ON BOARD DIAGNOSTIC SYSTEM

ON BOARD DIAGNOSTIC SYSTEM

Registration ID: IJNRD_197724

Published ID: IJNRD2305824

DOI: Click Here to Get

Shaikh Sahil Akbar , Shaikh Afsar Balam , Shaikh Anjar M.Riyaz , Vishal.A.Aher

On-Board Diagnostics (OBD), Diagnostic Trouble Codes (DTC), Driver behaviour Profiling, Risk Score, K-means clustering, Elbow method, Machine Learning, Data Analytics.

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.

Published Paper   E-Certificate

"ON BOARD DIAGNOSTIC SYSTEM", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.i187-i191, May-2023, Available :https://ijnrd.org/papers/IJNRD2305824.pdf

Volume 8 Issue 5, May-2023

Pages : i187-i191

Paper Reg. ID: IJNRD_197724

Published Paper Id: IJNRD2305824

Downloads: 000121147

Research Area: Electronics & Communication Engg. 

Country: Ahemednagar, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305824.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305824

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

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