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Predicting the Death of Road Accidents in Bangladesh Using Artificial Neural Network

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dc.contributor.author Eti, Mst.Sinhanaznin
dc.date.accessioned 2022-07-16T08:55:53Z
dc.date.available 2022-07-16T08:55:53Z
dc.date.issued 2022-02-05
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/8256
dc.description.abstract Road accidents are now a common occurrence in our country. Road accidents are increasing by leaps and bounds in Bangladesh every day. Every day countless people are losing their lives in road accidents. The effect of a road accident is pitiful. This research paper has done to analyze the previous year's accidents records in Bangladesh deeply to predict the death of road accidents by using deep learning machine-learning approach. In this study, we have applied four models such as Artificial Neural Network, Decision Tree, K-Nearest Neighbor, Logistic Regression. This research would be helpful for the policymakers and stakeholders related to the road to take the future steps with the highest accuracy of 98% in Artificial Neural Network algorithm. en_US
dc.language.iso en_US en_US
dc.publisher ©Daffodil International University en_US
dc.subject Artificial neural networks en_US
dc.subject Road accidents en_US
dc.subject Machine learning en_US
dc.subject Deep learning en_US
dc.title Predicting the Death of Road Accidents in Bangladesh Using Artificial Neural Network en_US
dc.type Thesis en_US


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