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Visualization and analysis of mapping knowledge domain of road safety studies

Accident analysis and prevention, 2018-09, Vol.118, p.131-145

2018

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Traffic accident detection and condition analysis based on social networking data

Accident analysis and prevention, 2021-03, Vol.151, p.105973-105973, Article 105973

2021

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Longitudinal safety evaluation of connected vehicles’ platooning on expressways

Accident analysis and prevention, 2018-08, Vol.117, p.381-391

2018

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A systematic mapping review of surrogate safety assessment using traffic conflict techniques

Accident analysis and prevention, 2021-04, Vol.153, p.106016-106016, Article 106016

2021

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Detection and prediction of driver drowsiness using artificial neural network models

Accident analysis and prevention, 2019-05, Vol.126, p.95-104

2019

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Effects of truck traffic on crash injury severity on rural highways in Wyoming using Bayesian binary logit models

Accident analysis and prevention, 2018-08, Vol.117, p.106-113

2018

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A human factors perspective on automated driving

Theoretical issues in ergonomics science, 2019-05, Vol.20 (3), p.223-249

2019

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Asleep at the automated wheel—Sleepiness and fatigue during highly automated driving

Accident analysis and prevention, 2019-05, Vol.126, p.70-84

2019

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A comparative study of state-of-the-art driving strategies for autonomous vehicles

Accident analysis and prevention, 2021-02, Vol.150, p.105937-105937, Article 105937

2021

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A new integrated collision risk assessment methodology for autonomous vehicles

Accident analysis and prevention, 2019-06, Vol.127, p.61-79

2019

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How did the COVID-19 pandemic affect road crashes and crash outcomes in Alabama?

Accident analysis and prevention, 2021-12, Vol.163, p.106428-106428, Article 106428

2021

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Analysis of stationary and dynamic factors affecting highway accident occurrence: A dynamic correlated grouped random parameters binary logit approach

Accident analysis and prevention, 2018-04, Vol.113, p.330-340

2018

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Effects of mobile phone distraction on pedestrians’ crossing behavior and visual attention allocation at a signalized intersection: An outdoor experimental study

Accident analysis and prevention, 2018-06, Vol.115, p.170-177

2018

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A comparison between Artificial Neural Network and Hybrid Intelligent Genetic Algorithm in predicting the severity of fixed object crashes among elderly drivers

Accident analysis and prevention, 2020-04, Vol.138, p.105468-105468, Article 105468

2020

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A taxonomy of driving errors and violations: Evidence from the naturalistic driving study

Accident analysis and prevention, 2021-03, Vol.151, p.105873, Article 105873

2021

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Using vehicular trajectory data to explore risky factors and unobserved heterogeneity during lane-changing

Accident analysis and prevention, 2021-03, Vol.151, p.105871-105871, Article 105871

2021

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The relationship between impact speed and the probability of pedestrian fatality during a vehicle-pedestrian crash: A systematic review and meta-analysis

Accident analysis and prevention, 2019-08, Vol.129, p.241-249

2019

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Crash comparison of autonomous and conventional vehicles using pre-crash scenario typology

Accident analysis and prevention, 2021-09, Vol.159, p.106281-106281, Article 106281

2021

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The transportation safety of elderly pedestrians: Modeling contributing factors to elderly pedestrian collisions

Accident analysis and prevention, 2019-10, Vol.131, p.268-274

Kim, Dohyung

2019

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Analyzing crash frequency in freeway tunnels: A correlated random parameters approach

Accident analysis and prevention, 2018-02, Vol.111, p.94-100

2018

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Performance and sleepiness in nurses working 12-h day shifts or night shifts in a community hospital

Accident analysis and prevention, 2019-05, Vol.126, p.43-46

2019

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Using eye-tracking to investigate the effects of pre-takeover visual engagement on situation awareness during automated driving

Accident analysis and prevention, 2021-07, Vol.157, p.106143-106143, Article 106143

2021

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Using trajectory-level SHRP2 naturalistic driving data for investigating driver lane-keeping ability in fog: An association rules mining approach

Accident analysis and prevention, 2019-08, Vol.129, p.250-262

2019

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Analysis of commercial truck drivers’ potentially dangerous driving behaviors based on 11-month digital tachograph data and multilevel modeling approach

Accident analysis and prevention, 2019-11, Vol.132, p.105256-105256, Article 105256

2019

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Human-like car-following model for autonomous vehicles considering the cut-in behavior of other vehicles in mixed traffic

Accident analysis and prevention, 2019-11, Vol.132, p.105260-105260, Article 105260

2019

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Visualization and analysis of mapping knowledge domain of road safety studies

Traffic accident detection and condition analysis based on social networking data

Longitudinal safety evaluation of connected vehicles’ platooning on expressways

A systematic mapping review of surrogate safety assessment using traffic conflict techniques

Detection and prediction of driver drowsiness using artificial neural network models

Effects of truck traffic on crash injury severity on rural highways in Wyoming using Bayesian binary logit models

A human factors perspective on automated driving

Asleep at the automated wheel—Sleepiness and fatigue during highly automated driving

A comparative study of state-of-the-art driving strategies for autonomous vehicles

A new integrated collision risk assessment methodology for autonomous vehicles

How did the COVID-19 pandemic affect road crashes and crash outcomes in Alabama?

Analysis of stationary and dynamic factors affecting highway accident occurrence: A dynamic correlated grouped random parameters binary logit approach

Effects of mobile phone distraction on pedestrians’ crossing behavior and visual attention allocation at a signalized intersection: An outdoor experimental study

A comparison between Artificial Neural Network and Hybrid Intelligent Genetic Algorithm in predicting the severity of fixed object crashes among elderly drivers

A taxonomy of driving errors and violations: Evidence from the naturalistic driving study

Using vehicular trajectory data to explore risky factors and unobserved heterogeneity during lane-changing

The relationship between impact speed and the probability of pedestrian fatality during a vehicle-pedestrian crash: A systematic review and meta-analysis

Crash comparison of autonomous and conventional vehicles using pre-crash scenario typology

The transportation safety of elderly pedestrians: Modeling contributing factors to elderly pedestrian collisions

Analyzing crash frequency in freeway tunnels: A correlated random parameters approach

Performance and sleepiness in nurses working 12-h day shifts or night shifts in a community hospital

Using eye-tracking to investigate the effects of pre-takeover visual engagement on situation awareness during automated driving

Using trajectory-level SHRP2 naturalistic driving data for investigating driver lane-keeping ability in fog: An association rules mining approach

Analysis of commercial truck drivers’ potentially dangerous driving behaviors based on 11-month digital tachograph data and multilevel modeling approach

Human-like car-following model for autonomous vehicles considering the cut-in behavior of other vehicles in mixed traffic

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