Prediction of the traffic incident duration using statistical and machine-learning methods: A systematic literature review
This paper aims to present a comprehensive review and analysis to demonstrate the main
papers, journals, authors, and trends significantly contributing to the scientific output in …
papers, journals, authors, and trends significantly contributing to the scientific output in …
[HTML][HTML] Crash severity analysis of highways based on multinomial logistic regression model, decision tree techniques, and artificial neural network: a modeling …
G Shiran, R Imaninasab, R Khayamim - Sustainability, 2021 - mdpi.com
The classification of vehicular crashes based on their severity is crucial since not all of them
have the same financial and injury values. In addition, avoiding crashes by identifying their …
have the same financial and injury values. In addition, avoiding crashes by identifying their …
[HTML][HTML] Traffic accident duration prediction using text mining and ensemble learning on expressways
J Chen, W Tao - Scientific reports, 2022 - nature.com
Predicting traffic accident duration is necessary for ensuring traffic safety. Several attempts
have been made to achieve high prediction accuracy, but researchers have not considered …
have been made to achieve high prediction accuracy, but researchers have not considered …
[HTML][HTML] Prediction of duration of traffic incidents by hybrid deep learning based on multi-source incomplete data
Q Shang, T Xie, Y Yu - … journal of environmental research and public …, 2022 - mdpi.com
Traffic accidents causing nonrecurrent congestion and road traffic injuries seriously affect
public safety. It is helpful for traffic operation and management to predict the duration of …
public safety. It is helpful for traffic operation and management to predict the duration of …
[HTML][HTML] Traffic accident duration prediction using multi-mode data and ensemble deep learning
J Chen, W Tao, Z Jing, P Wang, Y Jin - Heliyon, 2024 - cell.com
Predicting the duration of traffic accidents is a critical component of traffic management and
emergency response on expressways. Traffic accident information is inherently multi-mode …
emergency response on expressways. Traffic accident information is inherently multi-mode …
Effect of feature optimization on performance of machine learning models for predicting traffic incident duration
Developing a high-performing traffic incident-duration prediction model is considered a key
component for evaluating the impact of these incidents on the roadway network. Various …
component for evaluating the impact of these incidents on the roadway network. Various …
Effect of Driving-Restriction Policies Based on System Dynamics, the Back Propagation Neural Network, and Gray System Theory
Z Chen, X Ye, B Li, S Jia - Arabian Journal for Science and Engineering, 2023 - Springer
In order to explore the long-term effect of driving-restriction policies on the traffic congestion
level and traffic accident rate, we combined system dynamics, the back propagation neural …
level and traffic accident rate, we combined system dynamics, the back propagation neural …
How to increase students' motivation to engage in university initiatives towards environmental sustainability
IJ Juma‐Michilena, ME Ruiz‐Molina… - Journal of Consumer …, 2023 - Wiley Online Library
Nowadays, it is of vital importance to make students aware of the problems that can be
generated by the deterioration of the environment. The purpose of this study is to establish a …
generated by the deterioration of the environment. The purpose of this study is to establish a …
[HTML][HTML] A Novel Accident Duration Prediction Method Based on a Conditional Table Generative Adversarial Network and Transformer
Y Wang, H Zhai, X Cao, X Geng - Sustainability, 2024 - mdpi.com
The accurate duration prediction of road traffic accident is crucial for ensuring the safe and
efficiency of transportation within social road networks. Such predictive capabilities provide …
efficiency of transportation within social road networks. Such predictive capabilities provide …
Predicting related factors of immunological response to hepatitis B vaccine in hemodialysis patients based on integration of decision tree classification and logistic …
Y Feng, J Wang, Z Shao, Z Chen, T Yao… - Human vaccines & …, 2021 - Taylor & Francis
The non/hypo-response rate of the hepatitis B vaccine among hemodialysis (HD) patients is
still high, it is of great significance to explore the influencing factors and their relationships …
still high, it is of great significance to explore the influencing factors and their relationships …