An alternative method for traffic accident severity prediction: using deep forests algorithm

J Gan, L Li, D Zhang, Z Yi… - Journal of advanced …, 2020 - Wiley Online Library
Traffic safety has always been an important issue in sustainable transportation development,
and the prediction of traffic accident severity remains a crucial challenging issue in the …

Optimization of evaluation indicators for driver's traffic literacy: an improved principal component analysis method

Z Chen, K Tian - Sage Open, 2022 - journals.sagepub.com
The traditional traffic concept seems to be unable to adapt to the traffic problems brought by
cities' rapid development. People must cultivate new modern traffic literacy to deal with traffic …

[Retracted] Optimisation of Driver's Traffic Literacy Evaluation Index from the Perspective of Information Contribution Sensitivity

L Wang, K Tian - Journal of Mathematics, 2021 - Wiley Online Library
The practice has proven that relying solely on large‐scale transportation facilities cannot
fundamentally alleviate urban transportation problems. Since the motor vehicle drivers are …

[PDF][PDF] An improved particle swarm optimization for prediction of accident severity

S Singh, V Yadav - IJEER, 2021 - ijeer.forexjournal.co.in
░ ABSTRACT: In recent time, road traffic accidents are increased day by day due to
incremental growth in number of vehicles. Traffic accidents are also the crucial and …

[PDF][PDF] Predictive model for accident severity

SM Mostafa, SA Salem, SM Habashyis - IAENG Int. J. Comput. Sci, 2022 - iaeng.org
In the development of sustainable transportation, traffic safety is a significant matter, and
predicting the severity of traffic accidents is still a critical problem in the traffic safety field …

Unimodal Ordinal Logit: A Logit Model with a Utility-Correction Term Capturing Correlations from Ordinal Responses

M Wong, S Varotto, M Bierlaire - Available at SSRN 4220600, 2022 - papers.ssrn.com
Discrete variables that show a natural ordering across response levels are commonly
analyzed based on data collected in surveys and in field observations. These variables …

Prediction of road traffic accident severity based on multi-model fusion

W Lu, M Huang, R Yu - Eighth International Conference on …, 2023 - spiedigitallibrary.org
In recent years, the prevention of road traffic accidents has emerged as a focal point in traffic
safety research. This study introduces a multimodal fusion-based approach to predict the …

Traffic Accident Severity Prediction: A comparison Study

M Akour, O Al Qasem, F Hanandeh - International Journal of …, 2022 - iaras.org
Based on several reports, one of the main causes of human injuries and death is Traffic
accidents. Many Communities are suffering from the accidents at different level of severity …

[PDF][PDF] ENSEMBLE AND BASE LEARNER ML TECHNIQUES FOR TRAFFIC ACCIDENT SEVERITY PREDICTION: A COMPARISON STUDY

M Akour, O Al Qasem, M Alenezi, A Bataineh… - malenezi.github.io
Based on several reports, one of the main causes of human injuries and death is traffic
accidents. Many communities are suffering from the accidents at different levels of severity …