Presenting a Spatial Data Mining Based on Stage Interpretable Multilayer Deep Learning Approach to Analyze the Factors Affecting the Crash Frequency of Light …
M Effati, A Ramezanpoor - Available at SSRN 4819024 - papers.ssrn.com
Based on some studies, most of light vehicle crashes occur in rural freeways. The existence
of big data, hidden patterns and connections between variables, inexplicability, and type of …
of big data, hidden patterns and connections between variables, inexplicability, and type of …
Urban traffic crash analysis using deep learning techniques
M Sobhana, N Vemulapalli, GSSV Mendu… - … Automatyka, Pomiary w …, 2023 - ph.pollub.pl
Road accidents are concerningly increasing in Andhra Pradesh. In 2021, Andhra Pradesh
experienced a 20 percent upsurge in road accidents. The state's unfortunate position of …
experienced a 20 percent upsurge in road accidents. The state's unfortunate position of …
Deep neural network-based identification of driving risk utilizing driver dependent vehicle driving features: A scheme for critical infrastructure protection
The modern intelligent transportation system opts for accident prediction modules as a
critical aspect for road safety. Where, an accident is predicted before it actually happens and …
critical aspect for road safety. Where, an accident is predicted before it actually happens and …
Highway crash detection and risk estimation using deep learning
Crash Detection is essential in providing timely information to traffic management centers
and the public to reduce its adverse effects. Prediction of crash risk is vital for avoiding …
and the public to reduce its adverse effects. Prediction of crash risk is vital for avoiding …
[PDF][PDF] Spatio-temporal Statistical Analysis and Deep Learning Techniques for Traffic Accidents Prediction
Traffic accidents impose significant problems in our daily life due to the huge social,
environmental, and economic expenses associated with them. The rapid development in …
environmental, and economic expenses associated with them. The rapid development in …
Identifying roadway departure crash patterns on rural two-lane highways under different lighting conditions: association knowledge using data mining approach
Introduction: More than half of all fatalities on US highways occur due to roadway departure
(RwD) each year. Previous research has explored various risk factors that contribute to RwD …
(RwD) each year. Previous research has explored various risk factors that contribute to RwD …
Development of Deep Neural Network Model for the Prediction of Road Crashes in Real Time
MS Olokun, OO Ipindola, FT Oyediji… - Journal of …, 2022 - editor.journal7sub.com
Road safety remains a global concern with the number of deaths and injury recorded from
road traffic accidents estimated to be 1.5 million and 50 million respectively by 2025. Despite …
road traffic accidents estimated to be 1.5 million and 50 million respectively by 2025. Despite …
Intelligent traffic accident prediction model for Internet of Vehicles with deep learning approach
DJ Lin, MY Chen, HS Chiang… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
In this study, a high accident risk prediction model is developed to analyze traffic accident
data, and identify priority intersections for improvement. A database of the traffic accidents …
data, and identify priority intersections for improvement. A database of the traffic accidents …
[HTML][HTML] Enhancing road safety in internet of vehicles using deep learning approach for real-time accident prediction and prevention
X Wei - International Journal of Intelligent Networks, 2024 - Elsevier
The paper proposes an Internet of Vehicles (IoV)-based Accident Prediction and Prevention
System that leverages the Internet of Things (IoT) to tackle the road safety challenges arising …
System that leverages the Internet of Things (IoT) to tackle the road safety challenges arising …
Applying a deep learning approach for transportation safety planning by using high-resolution transportation and land use data
Abstract Analytical Transportation Safety Planning (TSP) is an important concept for
integrating and improving both planning and safety and achieving better policies and …
integrating and improving both planning and safety and achieving better policies and …