Advanced International Journal for Research

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Review On Development of AI Based Road Accidents Prediction Through Traffic Image Analysis

Author(s) Ms. Shital Narwade, Mr. Rahul Bhandekar
Country India
Abstract Traffic accidents are one of the primary reasonsfor death and serious injury. They are a great threat not onlyto the health of people but also to their lives. Even if theseincidents happen due to numerous causes, some of whichare internal to the driver and others external, they will still
occur. When the visibility is poor during bad weather likerain, clouds, and fog, driving may become very hard andeven hazardous. This project intends to provide an overviewof advanced methods for traffic accident prediction by usingmachine learning algorithms and clustering techniques. Theincreasing number of vehicle collisions globally has got animpact on many aspects of human life. The aspects likecausation study, traffic flow and the interaction betweendifferent factors have been mostly overlooked, though beingsignificant. Also, the current traffic accident data is mainly
used for data mining and basic statistical analysis, whichresults in a lack of understanding of the statistics and thetrends. By classifying the road accident data, this projectaims at minimizing the severity of further accidents throughspotting the main contributing factors and formulating
preventive measures. Machine learning algorithms areemployed to analyze the data, detect the underlying patterns,predict the occurrence's intensity and disseminate theinformation quickly.
Keywords Road accident data, Machine learning, K- means Clustering, Analysis, Visualization, prediction etc.
Published In Volume 7, Issue 3, May-June 2026
Published On 2026-05-28
DOI https://doi.org/10.63363/aijfr.2026.v07i03.5757
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