Interpretable dynamic ensemble selection approach for the prediction of road traffic injury severity: a case study of Pakistan's national highway N-5
Road traffic accidents are among the top ten major causes of fatalities in the world, taking
millions of lives annually. Machine-learning ensemble classifiers have been frequently used …
millions of lives annually. Machine-learning ensemble classifiers have been frequently used …
Effects of mobile phone use on driving performance: an experimental study of workload and traffic violations
CAC Ortega, MA Mariscal, W Boulagouas… - International journal of …, 2021 - mdpi.com
The use of communication technologies, eg, mobile phones, has increased dramatically in
recent years, and their use among drivers has become a great risk to traffic safety. The …
recent years, and their use among drivers has become a great risk to traffic safety. The …
Deep Forest with SHapley additive explanations on detailed risky driving behavior data for freeway crash risk prediction
X Ma, Z Huo, J Lu, YD Wong - Engineering Applications of Artificial …, 2025 - Elsevier
Freeway crash risk prediction is a critical component of traffic safety management, yet
existing crash risk models often fail to capture complex driving behaviors and lack …
existing crash risk models often fail to capture complex driving behaviors and lack …
Predicting road accident risk using geospatial data and machine learning (demo paper)
Over 100 fatalities and more than 8000 injuries are reported on average every day in the US
caused by motor vehicle accidents. In order to provide drivers a safer travel plan, we present …
caused by motor vehicle accidents. In order to provide drivers a safer travel plan, we present …
Conditional Generative Adversarial Network-Based roadway crash risk prediction considering heterogeneity with dynamic data
Introduction: Roadway crash data are very rare and occur randomly, therefore there are
several challenges to developing a crash prediction model for real-time traffic safety …
several challenges to developing a crash prediction model for real-time traffic safety …
[HTML][HTML] A Cross-Cultural Crash Pattern Analysis in the United States and Jordan Using BERT and SHAP
Understanding the cultural and environmental influences on roadway crash patterns is
essential for designing effective prevention strategies. This study applies advanced AI …
essential for designing effective prevention strategies. This study applies advanced AI …
Mining frequent patterns with generalized linear model for traffic density analysis
Abstract Call Detail Record (CDR) is the detailed record of all the telephonic calls that pass
through a telephone exchange or any other telecommunications equipment. It contains …
through a telephone exchange or any other telecommunications equipment. It contains …
Research Progress on Road Traffic Accident Prediction Based on Big Data
Z Zhao, D Zhou, W Wang, J Dai… - Smart Transportation and …, 2024 - books.google.com
The application of big data methods is currently a hot topic in the field of road traffic accident
forecasting. It is of great practical significance to clarify the current research progress and …
forecasting. It is of great practical significance to clarify the current research progress and …
Cross-Cultural Crash Pattern Analysis: Leveraging Bert for Text Classification and Topic Modeling in the United States and Jordan
Roadway crash analysis is vital for developing effective prevention strategies, as cultural
contexts can significantly influence road safety measures and crash patterns. This study …
contexts can significantly influence road safety measures and crash patterns. This study …
[PDF][PDF] 차량주행궤적데이터를활용한Multi-Stage 머신러닝기반의사고위험예측연구
박누리， 박준영 - 대한교통학회지, 2024 - hy-tel.hanyang.ac.kr
초록교통사고 발생 예방과 대응을 위하여 실시간으로 사고위험 상황을 예측하고 적절한
조처를하는 방안에 관한 연구가 진행되고 있다. 교통사고는 매우 드물게 발생하는 무작위 …
조처를하는 방안에 관한 연구가 진행되고 있다. 교통사고는 매우 드물게 발생하는 무작위 …