Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques
Traffic accidents pose a severe global public health issue, leading to 1.19 million fatalities
annually, with the greatest impact on individuals aged 5 to 29 years old. This paper …
annually, with the greatest impact on individuals aged 5 to 29 years old. This paper …
Injury severity prediction and exploration of behavior-cause relationships in automotive crashes using natural language processing and extreme gradient boosting
Addressing the global challenge of traffic crashes necessitates transcending traditional
statistical models, which often fail to fully capture the interactions between factors causing …
statistical models, which often fail to fully capture the interactions between factors causing …
Artificial intelligence in road traffic accident prediction
J Siswanto, ASN Syaban, H Hariani - Jambura Journal of …, 2023 - ejurnal.ung.ac.id
The rapid development of AI shows its power and great development potential in practical
engineering applications. Critical issues and potential solutions can reduce road traffic …
engineering applications. Critical issues and potential solutions can reduce road traffic …
[HTML][HTML] Hidden in Plain Sight: A Data-Driven Approach to Safety Risk Management for Highway Traffic Officers
Highway traffic officers (HTOs) are often exposed to life-threatening workplace incidents
while performing their duties. However, scant research has been undertaken to address …
while performing their duties. However, scant research has been undertaken to address …
Towards efficient and accurate prediction of freeway accident severity using two-level fuzzy comprehensive evaluation
G Wang, J Li, L Shen, S Ding, Z Shi, F Zuo - Heliyon, 2024 - cell.com
Accurately predicting freeway accident severity is crucial for accident prevention, road
safety, and emergency rescue services in intelligent freeway systems. However, current …
safety, and emergency rescue services in intelligent freeway systems. However, current …
Accident prediction modeling by artificial neural network in petroleum industry: a case study of National Iranian Oil Products Distribution Company
M Arabahmadi, A Shojaie… - Petroleum Science …, 2023 - Taylor & Francis
This study aims to predict the number of accidents in the National Iranian Oil Products
Distribution Company (NIOPDC) as a case study in 2022 according to the database …
Distribution Company (NIOPDC) as a case study in 2022 according to the database …
Risk Assessment at Unsignalized Intersections Based on Human-Road-Environment-Vehicle System Applying Fuzzy Logic
The constant increase in motorization level and traffic density increases risks due to
dangerous situations for road participants. Therefore, assessing the accident level of road …
dangerous situations for road participants. Therefore, assessing the accident level of road …
Driver Anomaly Detection Using Skeleton Images
R Fusek, E Sojka, J Gaura, J Halman - International Symposium on Visual …, 2023 - Springer
Many unexpected situations can occur while driving that may lead to dangerous accidents.
Some of them may be caused by sudden health problems (eg heart attack, stroke, total …
Some of them may be caused by sudden health problems (eg heart attack, stroke, total …
Analysis of Traffic Safety Factors and Their Impact Using Machine Learning Algorithms
The safety of road traffic is facing increasing challenges from a range of factors, and this
study aims to address this issue. The paper describes the development of a model that …
study aims to address this issue. The paper describes the development of a model that …
[PDF][PDF] JAMBURA JOURNAL OF INFORMATICS
J Siswanto - academia.edu
The rapid development of AI shows its power and great development potential in practical
engineering applications. Critical issues and potential solutions can reduce road traffic …
engineering applications. Critical issues and potential solutions can reduce road traffic …