Driving behavior recognition using EEG data from a simulated car-following experiment
Approach-level real-time crash risk analysis for signalized intersections
Investigating the safety impact of roadway network features of suburban arterials in Shanghai
Driver speed selection and crash risk: Insights from the naturalistic driving study
Driver speed selection and crash risk: Insights from the naturalistic driving study
A systematic review of socioeconomic status measurement in 13 years of U.S. injury research
Spatial analysis of macro-level bicycle crashes using the class of conditional autoregressive models
Assessing the impacts of enriched information on crash prediction performance
Risk perception and the warning strategy based on microscopic driving state
The effects of medical marijuana laws on cannabis-involved driving
Cannabis and crash responsibility while driving below the alcohol per se legal limit
Cannabis and crash responsibility while driving below the alcohol per se legal limit
Meta-analysis of the effect of road work zones on crash occurrence
Meta-analysis of the effect of road work zones on crash occurrence
Meta-analysis of the effect of road work zones on crash occurrence
The location of late night bars and alcohol-related crashes in Houston, Texas
The location of late night bars and alcohol-related crashes in Houston, Texas
Modeling and comparing injury severity of at-fault and not at-fault drivers in crashes
A multivariate spatial approach to model crash counts by injury severity
A data mining approach to deriving safety policy implications for taxi drivers
A data mining approach to deriving safety policy implications for taxi drivers
Connected vehicle-based road safety information system (CROSS): Framework and evaluation
Connected vehicle-based road safety information system (CROSS): Framework and evaluation
Influence of traffic congestion on driver behavior in post-congestion driving
Interventions and controls to prevent emergency service vehicle incidents: A mixed methods review
A feature learning approach based on XGBoost for driving assessment and risk prediction
Y TXT N DRIVE? Predictors of texting while driving among a sample of Ontario youth and young adults
Comparison of four statistical and machine learning methods for crash severity prediction
Comparison of four statistical and machine learning methods for crash severity prediction
The impact of the connected environment on driving behavior and safety: A driving simulator study
A systematic mapping review of surrogate safety assessment using traffic conflict techniques
E-Scooter safety: The riding risk analysis based on mobile sensing data
Adolescent driving behavior before and during restrictions related to COVID-19
A deep learning based traffic crash severity prediction framework
Investigating the injury severity of single-vehicle truck crashes in a developing country
Transition to manual: Comparing simulator with on-road control transitions
Intersection crash prediction modeling with macro-level data from various geographic units