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References from Risk assessment of driver emotion using a data-driven Bayesian Network: Insights from a naturalistic driving study. Local targets link to admitted publications; unresolved targets remain external evidence.
Multitasking additional-to-driving: Prevalence, and associated risk in SHRP2 naturalistic driving data structure
10.1016/j.aap.2020.105455 · 2020 · External reference
Properties of Bayesian belief network learning algorithms
1994 · External reference
An early warning method for highway traffic accidents based on Bayesian networks
2019 · External reference
A Bayesian method for the induction of probabilistic networks from data
10.1023/a:1022649401552 · 1992 · External reference
The impact of emotion, life stress and mental health issues on driving performance and safety
2016 · External reference
Bayesian network for motorcycle crash severity analysis
10.1177/03611981231164386 · 2023 · External reference
Characteristics of two groups of angry drivers
10.1037/0022-0167.50.2.123 · 2003 · External reference
10.17226/22362
10.17226/22362 · External reference
Driver crash risk factors and prevalence evaluation using naturalistic driving data
10.1073/pnas.1513271113 · 2016 · External reference
Statistical methods for naturalistic driving studies
10.1146/annurev-statistics-030718-105153 · 2019 · External reference
Individual driver risk assessment using naturalistic driving data
10.1016/j.aap.2012.06.014 · 2013 · External reference
The effects of age on crash risk associated with driver distraction
2017 · External reference
Unresolved reference
External reference
Bayesian network structure learning: A review
2022 · External reference
Unresolved reference
2009 · External reference
Towards affect-integrated driving behaviour research
10.1080/1463922x.2015.1067934 · 2015 · External reference
Learning salient representation of crashes and near-crashes using supervised contrastive variational autoencoder
10.1016/j.aap.2025.108148 · 2025 · External reference
Enhancing vision representations for traffic safety-critical events via supervised contrastive learning
10.1016/j.jsr.2025.10.002 · 2025 · External reference
Perception characteristics distance: Measuring stability and robustness of perception system in dynamic conditions under a certain decision rule
2026 · External reference
From emotion to safety-critical events: The temporal causal pathways in naturalistic driving
10.1016/j.trf.2026.103645 · 2026 · External reference
A data-driven Bayesian network for probabilistic crash risk assessment of individual driver with traffic violation and crash records
10.1016/j.aap.2022.106790 · 2022 · External reference
Modulation of driver's emotional states by manipulating in-vehicle environment: Validation with biosignals recorded in an actual car environment
10.1109/taffc.2022.3206222 · 2022 · External reference
Distracted driving and risk of road crashes among novice and experienced drivers
10.1056/nejmsa1204142 · 2014 · External reference
Unresolved reference
2009 · External reference
Machine learning: A review of classification and combining techniques
10.1007/s10462-007-9052-3 · 2006 · External reference
Road safety communication effectiveness: The roles of emotion and information in motorists' ability to detect vulnerable road users
10.1007/s10111-021-00692-x · 2022 · External reference
Driving experience, personality, and skill and safety-motive dimensions in drivers self-assessments
10.1016/0191-8869(95)00068-h · 1995 · External reference
Bayesian networks as a tool for epidemiological systems analysis
2012 · External reference
Analysis of driver decisions at the onset of yellow at signalized intersections
2020 · External reference
Emotional wellbeing in intercity travel: Factors affecting passengers' long-distance travel moods
10.3389/fpubh.2022.1046922 · 2022 · External reference
Dynamic Bayesian network approach to evaluate vehicle driving risk based on on-road experiment driving data
10.1109/access.2019.2941959 · 2019 · External reference
Multi-modal real-world driving data collection, transcription, and integration using Bayesian network
2008 · External reference
Modeling injury severity of vehicular traffic crashes
2015 · External reference
Unresolved reference
2008 · External reference
Driven by emotions: The association between emotion regulation, forgivingness, and driving styles
10.1016/j.trf.2019.07.005 · 2019 · External reference
Using a local discovery ant algorithm for Bayesian network structure learning
10.1109/tevc.2009.2024142 · 2009 · External reference
Real-time driver's stress event detection
10.1109/tits.2011.2168215 · 2012 · External reference
The emotional spectrum in traffic situations: Results of two online-studies
10.1016/j.trf.2012.12.009 · 2013 · External reference
Fear and anxiety while driving: Differential impact of task demands, speed and motivation
10.1016/j.trf.2012.07.002 · 2013 · External reference
An empirical-Bayes score for discrete Bayesian networks
2016 · External reference
Unresolved reference
2021 · External reference
SynSHRP2: A synthetic multimodal benchmark for driving safety-critical events derived from real-world driving data
2025 · External reference
Scvlm: Enhancing vision-language model for safety-critical event understanding
2025 · External reference
Modeling crash severity by considering risk indicators of driver and roadway: A Bayesian network approach
10.1016/j.jsr.2020.11.006 · 2021 · External reference
Unresolved reference
External reference
Unresolved reference
2022 · External reference
Time and sample efficient discovery of Markov blankets and direct causal relations
2003 · External reference
The max-min hill-climbing Bayesian network structure learning algorithm
10.1007/s10994-006-6889-7 · 2006 · External reference
Unresolved reference
2026 · External reference
Research on emotion activation efficiency of different drivers
2022 · External reference
Driver emotion recognition for intelligent vehicles
10.1145/3388790 · 2021 · External reference
Influences of emotion on driving decisions at different risk levels: An eye movement study
2022 · External reference
Bayesian network structure learning and application
2022 · External reference
Analysis of factors affecting serious multi-fatality crashes in China based on Bayesian network structure
10.1177/1687814017704145 · 2017 · External reference
A Bayesian network model for contextual versus non-contextual driving behavior assessment
10.1016/j.trc.2017.05.015 · 2017 · External reference
Road safety communication effectiveness: The roles of emotion and information in motorists' ability to detect vulnerable road users
10.1007/s10111-021-00692-x · ExternalCitation · doi-reference
Machine learning: A review of classification and combining techniques
10.1007/s10462-007-9052-3 · ExternalCitation · doi-reference
The max-min hill-climbing Bayesian network structure learning algorithm
10.1007/s10994-006-6889-7 · ExternalCitation · doi-reference
Driving experience, personality, and skill and safety-motive dimensions in drivers self-assessments
10.1016/0191-8869(95)00068-h · ExternalCitation · doi-reference
Individual driver risk assessment using naturalistic driving data
10.1016/j.aap.2012.06.014 · ExternalCitation · doi-reference
Multitasking additional-to-driving: Prevalence, and associated risk in SHRP2 naturalistic driving data structure
10.1016/j.aap.2020.105455 · ExternalCitation · doi-reference
A data-driven Bayesian network for probabilistic crash risk assessment of individual driver with traffic violation and crash records
10.1016/j.aap.2022.106790 · ExternalCitation · doi-reference
Learning salient representation of crashes and near-crashes using supervised contrastive variational autoencoder
10.1016/j.aap.2025.108148 · ExternalCitation · doi-reference
Modeling crash severity by considering risk indicators of driver and roadway: A Bayesian network approach
10.1016/j.jsr.2020.11.006 · ExternalCitation · doi-reference
Enhancing vision representations for traffic safety-critical events via supervised contrastive learning
10.1016/j.jsr.2025.10.002 · ExternalCitation · doi-reference
A Bayesian network model for contextual versus non-contextual driving behavior assessment
10.1016/j.trc.2017.05.015 · ExternalCitation · doi-reference
Fear and anxiety while driving: Differential impact of task demands, speed and motivation
10.1016/j.trf.2012.07.002 · ExternalCitation · doi-reference
The emotional spectrum in traffic situations: Results of two online-studies
10.1016/j.trf.2012.12.009 · ExternalCitation · doi-reference
Driven by emotions: The association between emotion regulation, forgivingness, and driving styles
10.1016/j.trf.2019.07.005 · ExternalCitation · doi-reference
From emotion to safety-critical events: The temporal causal pathways in naturalistic driving
10.1016/j.trf.2026.103645 · ExternalCitation · doi-reference
A Bayesian method for the induction of probabilistic networks from data
10.1023/a:1022649401552 · ExternalCitation · doi-reference
Characteristics of two groups of angry drivers
10.1037/0022-0167.50.2.123 · ExternalCitation · doi-reference
Distracted driving and risk of road crashes among novice and experienced drivers
10.1056/nejmsa1204142 · ExternalCitation · doi-reference
Driver crash risk factors and prevalence evaluation using naturalistic driving data
10.1073/pnas.1513271113 · ExternalCitation · doi-reference
Towards affect-integrated driving behaviour research
10.1080/1463922x.2015.1067934 · ExternalCitation · doi-reference
Dynamic Bayesian network approach to evaluate vehicle driving risk based on on-road experiment driving data
10.1109/access.2019.2941959 · ExternalCitation · doi-reference
Modulation of driver's emotional states by manipulating in-vehicle environment: Validation with biosignals recorded in an actual car environment
10.1109/taffc.2022.3206222 · ExternalCitation · doi-reference
Using a local discovery ant algorithm for Bayesian network structure learning
10.1109/tevc.2009.2024142 · ExternalCitation · doi-reference
Real-time driver's stress event detection
10.1109/tits.2011.2168215 · ExternalCitation · doi-reference
Driver emotion recognition for intelligent vehicles
10.1145/3388790 · ExternalCitation · doi-reference
Statistical methods for naturalistic driving studies
10.1146/annurev-statistics-030718-105153 · ExternalCitation · doi-reference
Bayesian network for motorcycle crash severity analysis
10.1177/03611981231164386 · ExternalCitation · doi-reference
Analysis of factors affecting serious multi-fatality crashes in China based on Bayesian network structure
10.1177/1687814017704145 · ExternalCitation · doi-reference
10.17226/22362
10.17226/22362 · ExternalCitation · doi-reference
Emotional wellbeing in intercity travel: Factors affecting passengers' long-distance travel moods
10.3389/fpubh.2022.1046922 · ExternalCitation · doi-reference
