[HTML][HTML] Analyzing the Relationship Between User Feedback and Traffic Accidents Through Crowdsourced Data
J Kim, W Jeon, S Kim - Sustainability, 2024 - mdpi.com
Identifying road segments with a high crash incidence is essential for improving road safety.
Conventional methods for detecting these segments rely on historical data from various …
Conventional methods for detecting these segments rely on historical data from various …
Towards a Smart Intelligent Fuzzy System in Assessing Traffic Crash Risks Among Female Teen Drivers: A Genetic Algorithm Approach Using Driving Simulator …
S EL Ferouali, Z Elamrani Abou Elassad… - … Conference on Intelligent …, 2024 - Springer
It is noted that technological advancements such as Artificial Intelligence (AI), Machine
Learning, Big Data, Internet of Things (IoT), Geographic Information Systems (GIS), Global …
Learning, Big Data, Internet of Things (IoT), Geographic Information Systems (GIS), Global …
Evaluating Naive Bayes Classifiers for Traffic Crash Prediction in Rome, Italy: A Comparative Examination
S El Ferouali, Z Elamrani Abou Elassad… - … Conference on Artificial …, 2024 - Springer
It has been observed that technological innovations like Geographic Information Systems
(GIS), Machine Learning, Artificial Intelligence (AI), Internet of Things (IoT), Big Data, and …
(GIS), Machine Learning, Artificial Intelligence (AI), Internet of Things (IoT), Big Data, and …
Evaluating Naive Bayes Classifiers for Traffic Crash Prediction in Rome
S El Ferouali¹, ZE Abou Elassad - … and Its Practical Applications in the … - books.google.com
It has been observed that technological innovations like Geo-graphic Information Systems
(GIS), Machine Learning, Artificial Intelligence (AI), Internet of Things (IoT), Big Data, and …
(GIS), Machine Learning, Artificial Intelligence (AI), Internet of Things (IoT), Big Data, and …