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Driving Performance Under Violations of Traffic Rules: Novice vs. Experienced Drivers

IEEE transactions on intelligent vehicles, 2022-12, Vol.7 (4), p.908-917

2022

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Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP

Accident analysis and prevention, 2021-09, Vol.159, p.106261-106261, Article 106261

2021

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A feature learning approach based on XGBoost for driving assessment and risk prediction

Accident analysis and prevention, 2019-08, Vol.129, p.170-179

2019

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The impact of Industry 4.0 on occupational health and safety: A systematic literature review

Journal of safety research, 2024-09, Vol.90, p.254-271

2024

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Human Factors in Aircraft Maintenance

1st edition., 2020

Volltextzugriff (PDF)

A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling

Accident analysis and prevention, 2021-07, Vol.157, p.106157-106157, Article 106157

2021

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Crash data augmentation using variational autoencoder

Accident analysis and prevention, 2021-03, Vol.151, p.105950-105950, Article 105950

2021

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Half-century research developments in maritime accidents: Future directions

Accident analysis and prevention, 2019-02, Vol.123, p.448-460

2019

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What are the factors that contribute to road accidents? An assessment of law enforcement views, ordinary drivers’ opinions, and road accident records

Accident analysis and prevention, 2018-06, Vol.115, p.11-24

2018

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The application of XGBoost and SHAP to examining the factors in freight truck-related crashes: An exploratory analysis

Accident analysis and prevention, 2021-08, Vol.158, p.106153-106153, Article 106153

2021

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Safety of micro-mobility: Analysis of E-Scooter crashes by mining news reports

Accident analysis and prevention, 2020-08, Vol.143, p.105608-105608, Article 105608

2020

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Factors affecting motorcyclists’ injury severities: An empirical assessment using random parameters logit model with heterogeneity in means and variances

Accident analysis and prevention, 2019-02, Vol.123, p.12-19

2019

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A statistical study of railway safety in China and Japan 1990–2020

Accident analysis and prevention, 2022-09, Vol.175, p.106764-106764, Article 106764

2022

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The Handbook of Fatigue Management in Transportation: Waking Up to the Challenge

First edition., 2024

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An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors

Accident analysis and prevention, 2021-09, Vol.160, p.106322-106322, Article 106322

2021

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A context-aware driver model for determining recommended speed in blind intersection situations

Accident analysis and prevention, 2021-12, Vol.163, p.106447-106447, Article 106447

2021

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Analyzing driver behavior under naturalistic driving conditions: A review

Accident analysis and prevention, 2021-02, Vol.150, p.105908-105908, Article 105908

2021

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Psychosocial factors associated with intended use of automated vehicles: A simulated driving study

Accident analysis and prevention, 2018-06, Vol.115, p.202-208

2018

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Waymo simulated driving behavior in reconstructed fatal crashes within an autonomous vehicle operating domain

Accident analysis and prevention, 2021-12, Vol.163, p.106454-106454, Article 106454

2021

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A cooperative collision-avoidance control methodology for virtual coupling trains

Accident analysis and prevention, 2022-08, Vol.173, p.106703-106703, Article 106703

2022

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Real-time accident detection: Coping with imbalanced data

Accident analysis and prevention, 2019-08, Vol.129, p.202-210

2019

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Analysis of the impact of COVID-19 on collisions, fatalities and injuries using time series forecasting: The case of Greece

Accident analysis and prevention, 2021-11, Vol.162, p.106391-106391, Article 106391

2021

Volltextzugriff (PDF)

A comparative study of machine learning classifiers for injury severity prediction of crashes involving three-wheeled motorized rickshaw

Accident analysis and prevention, 2021-05, Vol.154, p.106094-106094, Article 106094

2021

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Analyzing freeway crash severity using a Bayesian spatial generalized ordered logit model with conditional autoregressive priors

Accident analysis and prevention, 2019-06, Vol.127, p.87-95

2019

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Influence of traffic congestion on driver behavior in post-congestion driving

Accident analysis and prevention, 2020-06, Vol.141, p.105508-105508, Article 105508

2020

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Driving Performance Under Violations of Traffic Rules: Novice vs. Experienced Drivers

Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP

A feature learning approach based on XGBoost for driving assessment and risk prediction

The impact of Industry 4.0 on occupational health and safety: A systematic literature review

Human Factors in Aircraft Maintenance

A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling

Crash data augmentation using variational autoencoder

Half-century research developments in maritime accidents: Future directions

What are the factors that contribute to road accidents? An assessment of law enforcement views, ordinary drivers’ opinions, and road accident records

The application of XGBoost and SHAP to examining the factors in freight truck-related crashes: An exploratory analysis

Safety of micro-mobility: Analysis of E-Scooter crashes by mining news reports

Factors affecting motorcyclists’ injury severities: An empirical assessment using random parameters logit model with heterogeneity in means and variances

A statistical study of railway safety in China and Japan 1990–2020

The Handbook of Fatigue Management in Transportation: Waking Up to the Challenge

An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors

A context-aware driver model for determining recommended speed in blind intersection situations

Analyzing driver behavior under naturalistic driving conditions: A review

Psychosocial factors associated with intended use of automated vehicles: A simulated driving study

Waymo simulated driving behavior in reconstructed fatal crashes within an autonomous vehicle operating domain

A cooperative collision-avoidance control methodology for virtual coupling trains

Real-time accident detection: Coping with imbalanced data

Analysis of the impact of COVID-19 on collisions, fatalities and injuries using time series forecasting: The case of Greece

A comparative study of machine learning classifiers for injury severity prediction of crashes involving three-wheeled motorized rickshaw

Analyzing freeway crash severity using a Bayesian spatial generalized ordered logit model with conditional autoregressive priors

Influence of traffic congestion on driver behavior in post-congestion driving

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