Abstract
Boyu Jiang, Aya Sasaki, Shu Han, Manhua Wang, Liang Shi, Tomoaki Ohashi, Nariaki Kuriyama, Feng Guo
Abstract
Authors
Institutions
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No local citing links have been materialized yet.
Multitasking additional-to-driving: Prevalence, and associated risk in SHRP2 naturalistic driving data structure
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Using a local discovery ant algorithm for Bayesian network structure learning
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10.1016/j.trf.2019.07.005 · doi-reference
Dynamic Bayesian network approach to evaluate vehicle driving risk based on on-road experiment driving data
10.1109/access.2019.2941959 · doi-reference
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Driving experience, personality, and skill and safety-motive dimensions in drivers self-assessments
10.1016/0191-8869(95)00068-h · doi-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 · doi-reference
Machine learning: A review of classification and combining techniques
10.1007/s10462-007-9052-3 · doi-reference
Distracted driving and risk of road crashes among novice and experienced drivers
10.1056/nejmsa1204142 · 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 · 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 · doi-reference
From emotion to safety-critical events: The temporal causal pathways in naturalistic driving
10.1016/j.trf.2026.103645 · doi-reference
Enhancing vision representations for traffic safety-critical events via supervised contrastive learning
10.1016/j.jsr.2025.10.002 · doi-reference
Learning salient representation of crashes and near-crashes using supervised contrastive variational autoencoder
10.1016/j.aap.2025.108148 · doi-reference
Towards affect-integrated driving behaviour research
10.1080/1463922x.2015.1067934 · doi-reference
Individual driver risk assessment using naturalistic driving data
10.1016/j.aap.2012.06.014 · doi-reference
Statistical methods for naturalistic driving studies
10.1146/annurev-statistics-030718-105153 · doi-reference
Driver crash risk factors and prevalence evaluation using naturalistic driving data
10.1073/pnas.1513271113 · doi-reference
Characteristics of two groups of angry drivers
10.1037/0022-0167.50.2.123 · doi-reference
Bayesian network for motorcycle crash severity analysis
10.1177/03611981231164386 · doi-reference
A Bayesian method for the induction of probabilistic networks from data
10.1023/a:1022649401552 · doi-reference
Multitasking additional-to-driving: Prevalence, and associated risk in SHRP2 naturalistic driving data structure
10.1016/j.aap.2020.105455 · doi-reference
10.17226/22362
10.17226/22362 · doi-reference