A human-in-the-loop ensemble fusion framework for road crash prediction: coping with imbalanced heterogeneous data from the driver-vehicle-environment system
D Elamrani Abou Elassad… - Transportation …, 2024 - Taylor & Francis
Road accidents are an inevitable aspect of daily life, and predicting crashes is crucial for
minimizing disruptions and advancing intelligent transportation technologies. This study …
minimizing disruptions and advancing intelligent transportation technologies. This study …
Understanding the Factors Contributing to Traffic Accidents: Survey and Taxonomy
S El Ferouali, Z Elamrani Abou Elassad… - … Conference on Artificial …, 2023 - Springer
This article examines the causes of road accidents around the world as well as the solutions
that have been developed by many researchers to lessen the severity of these catastrophes …
that have been developed by many researchers to lessen the severity of these catastrophes …
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 …
Deep Learning Prediction of Vehicle Lane Departure During Night-Times: A Synthetic Over-Sampling Framework with Enhanced Dimensionality Reduction
D Elamrani Abou Elassad… - … on Connected Objects …, 2024 - Springer
The inevitability and imminent widespread adoption of autonomous vehicles are
acknowledged, yet human supervision in driving remains crucial for the foreseeable future …
acknowledged, yet human supervision in driving remains crucial for the foreseeable future …
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 …
Deep Learning Prediction of Vehicle Lane Departure During Night-Times: A Synthetic Over-Sampling Framework with Enhanced Dimensionality Reduction
M Akhloufi - Proceeding of the International Conference on …, 2024 - books.google.com
The inevitability and imminent widespread adoption of autonomous vehicles are
acknowledged, yet human supervision in driving remains crucial for the foreseeable future …
acknowledged, yet human supervision in driving remains crucial for the foreseeable future …
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 …