Transparent deep machine learning framework for predicting traffic crash severity
Abstract Analysis of crash injury severity is a promising research target in highway safety
studies. A better understanding of crash severity risk factors is vital for the proactive …
studies. A better understanding of crash severity risk factors is vital for the proactive …
RFCNN: Traffic accident severity prediction based on decision level fusion of machine and deep learning model
Traffic accidents on highways are a leading cause of death despite the development of traffic
safety measures. The burden of casualties and damage caused by road accidents is very …
safety measures. The burden of casualties and damage caused by road accidents is very …
A deep learning based traffic crash severity prediction framework
Highway work zones are most vulnerable roadway segments for congestion and traffic
collisions. Hence, providing accurate and timely prediction of the severity of traffic collisions …
collisions. Hence, providing accurate and timely prediction of the severity of traffic collisions …
An improved deep learning model for traffic crash prediction
Machine‐learning technology powers many aspects of modern society. Compared to the
conventional machine learning techniques that were limited in processing natural data in the …
conventional machine learning techniques that were limited in processing natural data in the …
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 …
An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors
Vulnerable road users (VRUs) are exposed to the highest risk in the road traffic environment.
Analyzing contributing factors that affect injury severity facilitates injury severity prediction …
Analyzing contributing factors that affect injury severity facilitates injury severity prediction …
Predicting multiple types of traffic accident severity with explanations: A multi-task deep learning framework
Z Yang, W Zhang, J Feng - Safety science, 2022 - Elsevier
Predicting traffic accident severity is essential for traffic accident prevention and vulnerable
road user safety. Furthermore, the explainability of the prediction is crucial for practitioners to …
road user safety. Furthermore, the explainability of the prediction is crucial for practitioners to …
Traffic accident severity prediction and cognitive analysis using deep learning
T Vaiyapuri, M Gupta - Soft Computing, 2021 - Springer
Road traffic accidents are common in the world. India is among the leading countries in
accident cases. Crash injury severity prediction is an exciting area of study in traffic safety …
accident cases. Crash injury severity prediction is an exciting area of study in traffic safety …
Traffic accident's severity prediction: A deep-learning approach-based CNN network
M Zheng, T Li, R Zhu, J Chen, Z Ma, M Tang… - IEEE …, 2019 - ieeexplore.ieee.org
In traffic accident, an accurate and timely severity prediction method is necessary for the
successful deployment of an intelligent transportation system to provide corresponding …
successful deployment of an intelligent transportation system to provide corresponding …
Crash severity prediction using two-layer ensemble machine learning model for proactive emergency management
Many unfortunate victims in road traffic crashes do not receive ideal treatment because their
injury severity is not understood at an early stage. Swift crash severity prediction enables …
injury severity is not understood at an early stage. Swift crash severity prediction enables …