Five machine learning algorithms are trained and evaluated for predicting accident severity. An accident risk detection navigation application is embedded with ...
Five machine learning algorithms are trained and evaluated for predicting accident severity. An accident risk detection navigation application is embedded with ...
In this paper, accident detection and provision in smart transportation based on machine learning is presented. Five machine learning algorithms are trained and ...
Aug 18, 2024 · The aim of this study is to develop an automated procedure for deriving preventive actions from accident descriptions with the help of machine ...
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AI-Powered Assessments: Developed machine learning models to automate critical tasks, such as extracting vehicle count data from satellite imagery for traffic ...
Sep 18, 2024 · This study presents a machine learning-based approach for classifying fatal and non-fatal road accident outcomes using data from the Dhaka metropolitan traffic ...
Dec 9, 2024 · In this paper a system to monitor road conditions, detect unsafe driving behaviours and determine the influence of rainfall on traffic ...
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Jun 20, 2024 · AI and machine learning (ML) are revolutionizing traffic safety by analyzing extensive datasets to predict and mitigate accident risks.
Internet of Things and machine learning-enabled system is implemented in vehicles for transmitting the behavior of the driver and his driving pattern to the ...
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