Traffic Accident Injury and Severity Prediction Using Machine Learning AlgorithmsTraffic crashes are the severe issues confronting the world as they are the root reason for numerous deaths, wounds, and fatalities just as financial misfortunes consistently. Effective model to deduce the severity of an ...
Prediction of the severity of marine accidents using improved machine learning Although many studies have focused on the occurrence likelihood of marine accidents, few have focused on the analysis of the severity of the consequences, ... Y Feng,X Wang,Q Chen,... 被引量: 0发表: 2024年 Compar...
Machine LearningAccident PredictionSurveyClassification TechniquesRecent studies have predicted that in 2030, traffic accidents will be the fifth leading cause of death worldwide. The root cause of traffic accidents is hard toVenkat, ArunM, Gokulnath...
The prediction of the severity of traffic accidents is an important part of it. The occurrence of... RY Qian,X Wang - 《Advances in Transportation Studies》 被引量: 0发表: 2023年 Road Accident Prediction Model Using Machine Learning Last year, the number of traffic accidents declined to ...
deep-learning time-series location spatio-temporal demand-forecasting probabilistic-models spatio-temporal-data anomaly-detection traffic-prediction spatio-temporal-modeling accident-detection multivariate-timeseries time-series-prediction spatio-temporal-prediction time-series-forecasting paper-list time-series-impu...
Development of an Electronic Nose for Harmful Gases with Prediction Modeling Using Machine Learning Harmful gases can inflict damage, accident, or even death on a human being. The safety and security of human beings are essential to the community. This st... AAC Illahi,AA Bandala,E Sybingco,...
Prediction of pedestrian-vehicle conflicts at signalized intersections based on long short-term memory neural network Shile Zhang, Mohamed Abdel-Aty, Qing Cai, Pei Li, Jorge Ugan Article 105799 Article preview select article A new method of temporal and spatial risk estimation for lane change consid...
A multivariate-based conflict prediction model for a Brazilian freeway Felipe Caleffi, Michel José Anzanello, Helena Beatriz Bettella Cybis Pages 295-302 select article A Monte-Carlo simulation analysis for evaluating the severity distribution functions (SDFs) calibration methodology and determining the ...
Using hierarchical tree-based regression model to predict train-vehicle crashes at passive highway-rail grade crossings This paper applies a nonparametric statistical method, hierarchical tree-based regression (HTBR), to explore train-vehicle crash prediction and analysis at... Yan,XD,Richards,... ...
Predicting and analyzing injury severity: A machine learning-based approach using class-imbalanced proactive and reactive data Although the utility of the machine learning (ML) techniques is established in occupational accident domain using reactive data, its exploration in predict... S Sarkar,A Prama...