Vol. 4 No. 1 (2024): African Journal of Artificial Intelligence and Sustainable Development
Articles

Machine Learning for Autonomous Vehicle Accident Prediction and Prevention

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  • Dr. Nandini Sinha
Dr. Nandini Sinha
Associate Professor of Computer Science, Indian Institute
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Published 23-04-2024

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How to Cite

[1]
Dr. Nandini Sinha, “Machine Learning for Autonomous Vehicle Accident Prediction and Prevention”, African J. of Artificial Int. and Sust. Dev., vol. 4, no. 1, pp. 168–191, Apr. 2024, Accessed: Dec. 03, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/96

Abstract

Currently, the European Union is leading on road traffic fatalities as compared to America and Asia. The use of machine learning, and Iot based technology can help in reducing the accidents. The connection of multi-VANETs are very handy in getting the real picture of road traffic flow and behavior of vehicles so accident chances can be reduced 30% at maximum. Over 30,000 persons undergo death, maiming and loss in EU based countries. In another approach, it is proposed that computer analyzing the data of Road Accidents statistics so number of mishaps can be reduced effectively. Many road accident investigators researched and compared the actual specifications of the exact models of vehicles with not involved in the accidents, but they didn’t have the actual and accurate information of the involved vehicle’s manufacturing tolerances. So we proposed a system that can predict the car’s manufacturing tolerance without defecting the car by using machine learning.

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References

  1. Pulimamidi, Rahul. "Emerging Technological Trends for Enhancing Healthcare Access in Remote Areas." Journal of Science & Technology 2.4 (2021): 53-62.
  2. Tatineni, Sumanth, and Anirudh Mustyala. "Advanced AI Techniques for Real-Time Anomaly Detection and Incident Response in DevOps Environments: Ensuring Robust Security and Compliance." Journal of Computational Intelligence and Robotics 2.1 (2022): 88-121.
  3. Biswas, A., and W. Talukdar. “Robustness of Structured Data Extraction from In-Plane Rotated Documents Using Multi-Modal Large Language Models (LLM)”. Journal of Artificial Intelligence Research, vol. 4, no. 1, Mar. 2024, pp. 176-95, https://thesciencebrigade.com/JAIR/article/view/219.
  4. Sontakke, Dipti, and Mr Pankaj Zanke. "Quality Analytics and Customer Satisfaction: Insights from Retail Industry." Available at SSRN 4847927 (2024).
  5. Ponnusamy, Sivakumar, and Pankaj Gupta. "Connecting the Dots: How Data Lineage Helps in Effective Data Governance."
  6. Bojja, Giridhar Reddy, and Jun Liu. "Impact of it investment on hospital performance: a longitudinal data analysis." (2020).
  7. Singh, Amarjeet, and Alok Aggarwal. "Microservices Security Secret Rotation and Management Framework for Applications within Cloud Environments: A Pragmatic Approach." Journal of AI-Assisted Scientific Discovery 3.2 (2023): 1-16.
  8. Shahane, Vishal. "Optimizing Cloud Resource Allocation: A Comparative Analysis of AI-Driven Techniques." Advances in Deep Learning Techniques 3.2 (2023): 23-49.
  9. Vemoori, Vamsi. "Harnessing Natural Language Processing for Context-Aware, Emotionally Intelligent Human-Vehicle Interaction: Towards Personalized User Experiences in Autonomous Vehicles." Journal of Artificial Intelligence Research and Applications 3.2 (2023): 53-86.
  10. Tillu, Ravish, Muthukrishnan Muthusubramanian, and Vathsala Periyasamy. "Transforming regulatory reporting with AI/ML: strategies for compliance and efficiency." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.1 (2023): 145-157.
  11. Bayani, Samir Vinayak, Ravish Tillu, and Jawaharbabu Jeyaraman. "Streamlining Compliance: Orchestrating Automated Checks for Cloud-based AI/ML Workflows." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.3 (2023): 413-435.
  12. Tomar, Manish, and Vathsala Periyasamy. "Leveraging advanced analytics for reference data analysis in finance." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.1 (2023): 128-136.
  13. Abouelyazid, Mahmoud. "Advanced Artificial Intelligence Techniques for Real-Time Predictive Maintenance in Industrial IoT Systems: A Comprehensive Analysis and Framework." Journal of AI-Assisted Scientific Discovery 3.1 (2023): 271-313.
  14. Prabhod, Kummaragunta Joel. "AI-Driven Insights from Large Language Models: Implementing Retrieval-Augmented Generation for Enhanced Data Analytics and Decision Support in Business Intelligence Systems." Journal of Artificial Intelligence Research 3.2 (2023): 1-58.
  15. Tatineni, Sumanth. "Applying DevOps Practices for Quality and Reliability Improvement in Cloud-Based Systems." Technix international journal for engineering research (TIJER)10.11 (2023): 374-380.
  16. Gupta, Pankaj, and Sivakumar Ponnusamy. "Beyond Banking: The Trailblazing Impact of Data Lakes on Financial Landscape." International Journal of Computer Applications 975: 8887.
  17. Zanke, Mr Pankaj, and Dipti Sontakke. "The Impact of Business Intelligence on Organizational Performance." Available at SSRN 4847945 (2024).
  18. Shahane, Vishal. "Evolving Data Durability in Cloud Storage: A Historical Analysis and Future Directions." Journal of Science & Technology 1.1 (2020): 108-130.