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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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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: Sep. 19, 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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