Open Access
VEHICLE HEALTH INSPECTIONS IN THE DIGITAL AGE: HARNESSING AUTO DIAGNOSTICS FOR PROACTIVE MAINTENANCE
4
Department of Electrical Engineering, Indian Institute of Technology (IIT), Madras, India
4
School of Automotive Technology, Savitribai Phule Pune University, India
Abstract
The importance of vehicle health inspection has increased with the growing complexity of modern vehicles, which now incorporate advanced electronic systems and technologies. This article examines the role of enhanced auto diagnostics in improving vehicle health inspections and maintenance practices. It explores various diagnostic tools and techniques that are revolutionizing the way automotive professionals assess vehicle condition, pinpoint issues, and recommend timely maintenance. The integration of real-time data, predictive analytics, and IoT (Internet of Things) capabilities is changing the landscape of vehicle maintenance. Through an analysis of current trends, challenges, and technological innovations, this study highlights how enhanced diagnostics can significantly reduce repair costs, improve vehicle longevity, and ensure better safety and performance.
Keywords
Vehicle Health Inspection,
Enhanced Auto Diagnostics,
Predictive Maintenance,
On-Board Diagnostics (OBD-II)
References
Chrysafides, S., & Koller, M. (2019). On-Board Diagnostics and Vehicle Health Monitoring. SAE International Journal of Passenger Cars - Mechanical Systems, 12(4), 151-159.
Rong, J., & Zhang, S. (2020). Predictive Maintenance for Automotive Systems: A Review and Future Perspectives. Journal of Manufacturing Science and Engineering, 142(11), 110801.
Othman, M., & Omar, M. (2018). Telematics and IoT for Automotive Diagnostics: Trends and Challenges. International Journal of Automotive Technology, 19(5), 861-873.
Li, Z., & Gao, X. (2021). Vehicle Diagnostic System Based on Machine Learning and Internet of Things. Journal of Intelligent Transportation Systems, 25(2), 164-175.
Ramasamy, M., & Mahendran, S. (2021). Intelligent Vehicle Health Monitoring Using Telematics Data. Journal of Mechanical Engineering and Automation, 12(1), 39-48.
Tang, H., & Sun, X. (2020). IoT-Based Smart Vehicle Maintenance System: Challenges and Opportunities. Sensors, 20(11), 3164.
Garg, N., & Soni, P. (2019). Impact of Predictive Maintenance on Vehicle Fleet Management. International Journal of Vehicle Maintenance and Safety, 16(2), 92-106.
Bai, Q., & Zhang, Y. (2020). Automotive Diagnostic Tools and Their Role in Enhancing Maintenance Practices. International Journal of Automotive Technology and Management, 20(3), 290-307.
Siddiqui, A., & Rizvi, M. (2021). Data Security in Automotive Diagnostics: Protecting Vehicle Data in IoT Networks. International Journal of Automotive and Transportation Engineering, 7(2), 115-124.
Wang, L., & Li, Q. (2019). Smart Vehicle Maintenance Systems Using Cloud Computing and Big Data Analytics. Journal of Cloud Computing: Advances, Systems, and Applications, 8(1), 1-12.
Kumar, S., & Sharma, A. (2020). The Impact of IoT on Vehicle Diagnostics and Health Monitoring. Journal of IoT and Smart Technologies, 3(4), 22-35.
Vaidya, N., & Sharma, P. (2019). AI-Driven Predictive Maintenance for Vehicles: An Emerging Trend in Automotive Diagnostics. Journal of Artificial Intelligence in Transportation, 6(2), 101-115.
Patel, S., & Joshi, P. (2019). Telematics in Automotive Diagnostics: A Comprehensive Review. Journal of Automotive Engineering and Technology, 27(1), 72-84.
Singh, K., & Desai, R. (2020). Emerging Trends in Vehicle Diagnostics and Their Impact on Fleet Management. Journal of Vehicle Fleet Technology, 8(3), 45-58.
Zhang, H., & Liu, F. (2021). Real-Time Vehicle Monitoring Systems: Leveraging Telematics for Efficient Diagnostics. International Journal of Vehicle Telematics, 22(3), 201-213.
Lee, J., & Kim, S. (2020). Integrated Vehicle Health Monitoring Systems Using IoT Sensors: An Overview. Journal of Advanced Automotive Systems, 15(4), 237-249.
Zhang, J., & He, L. (2021). Telematics for Predictive Maintenance in Automotive Fleet Management. International Journal of Fleet Management, 14(5), 108-120.
Mishra, S., & Prakash, R. (2020). Automotive Maintenance and Diagnostics Using Cloud Computing and Data Analytics. International Journal of Cloud-Based Services, 6(1), 40-50.
Chen, Q., & Xu, L. (2021). The Role of IoT in Automotive Diagnostics and Maintenance: A Systematic Review. Journal of IoT Research and Applications, 12(2), 123-136.
Kumar, V., & Gupta, R. (2021). Advances in Vehicle Diagnostics: The Role of AI and Machine Learning. Journal of Intelligent Systems in Automotive Engineering, 3(1), 56-69.
Most read articles by the same author(s)
- Jeyakumar Ramachandran, A Reference Architecture for Enterprise Cloud Modernization through OpenStack to Kubernetes Platform Transformation , International Journal of Next-Generation Engineering and Technology: Vol. 1 No. 01 (2024): Volume 01 Issue 01
- Arjun Sharma, Priya Verma, Graph Neural Network-Based Framework for Intelligent Cyber Threat Detection in Cloud Computing , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Dr. Javad Ahmadi, Dr. Yingjie Zhao, OPTIMIZING ELECTRIC VEHICLE CHARGING INFRASTRUCTURE: A MULTI-OBJECTIVE GENETIC ALGORITHM APPROACH FOR SITING AND SIZING , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 03 (2025): Volume 02 Issue 03
- Dr. Aleksandar Iliev, Dr. Elena Stojanovsk, Systematic Analysis of Deep Learning Models for Performance Assessment , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Prof. Claire Dubois, Remote computational finance analytics architecture deep learning enabled unlawful transaction screening exposure evaluation framework , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 04 (2026): Volume 03 Issue 04
- Dr. Manish Jain, Future of Transportation Safety: Emerging Technologies, Challenges, And Opportunities , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 07 (2026): Volume 03 Issue 07
- Dr. Lukas Schneider, Machine learning based semantic text interpretation models supporting self-operating healthcare policy adherence records creation , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Dr. Saeed Mazrouei, Governance Standards for Intelligent Systems in National Resource Allocation: A Diverse Sector Analysis , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Dr. Maria Fernandes, Cyber-Enabled Modeling and Intelligent Decision Support in Human-Centric Industry 5.0 Practices , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Dr. Ren Takahashi, Dr. Mei Kobayashi, A Scalable Cloud Transition Model For Enhancing Operational Agility In Enterprise Information Systems , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 05 (2026): Volume 03 Issue 05
Similar Articles
- Evan Richman, Advanced Evolutionary Optimization and Intelligent Sensor Integration for Electromagnetic Compatibility and Signal Integrity in Autonomous Vehicle Architectures , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Diego Fernández Morales, Computational Methods for Equipment Health Assessment in Electrical Supply Networks , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 12 (2025): Volume 02 Issue 12
- Dr. Eleanor M. Whitford, Deep Learning and Intelligent Control in High-Stakes Systems: An Integrative Research Study on Lung Cancer CT Diagnosis and AI-Enabled Electric Vehicle Grid Management , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 04 (2026): Volume 03 Issue 04
- Sneha Reddy, Optimizing Complex Processing Ecosystems using Event-Centric Approaches for Enhanced Durability , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 04 (2025): Volume 02 Issue 04
- Dr. Ethan Williams, Dr. Olivia Carter, Dr. Liam Anderson, Autonomous Fault Management in Cloud Environments Through Deep Learning-Based Decision Making , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Simone Marquez-Rodriguez, Artificial Intelligence-Driven Predictive Risk Analytics and Automation in Construction Project Management: Integrating Machine Learning, Computer Vision, And Data Intelligence for Safer and More Efficient Infrastructure Development , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 12 (2025): Volume 02 Issue 12
- Samuel T. Ridgeway, Factory-Grade GPU Diagnostic Automation in Digital Pathology and Computational Inference Systems: A Cross-Domain Theoretical and Applied Investigation , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Paul Hathaway, A Comparative Analysis of Data-Driven Decision Support Systems: Bridging Clinical Epidemiology, Public Health Informatics, And Predictive E-Commerce Analytics in The Era of Big Data , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Dr. Eleanor Whitmore, Cloud-Native Smart Health Platforms: Scalable Machine Learning Deployment for Cardiovascular Prediction through Heroku, Salesforce, and Urban Data Ecosystems , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Dr. Nimal Perera, Ms. Ishani Fernando, An AI-Enabled Framework for Polycrisis Risk Mitigation in Residential High-Rise Buildings: A Systematic and Critical Literature Synthesis of Urban Resilience Strategies , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 08 (2026): Volume 03 Issue 08
1-10 of 68
Next
You may also start an advanced similarity search for this article.