Data Handling: Good Practices in the Context of Naturalistic Driving Studies

Special issue “RSS2022 Conference: Advanced Road Safety Analyses

Distributed Situational Awareness for Maritime Autonomous Surface Ships in Mixed Waterborne Transport: An Ontology-based Framework

Machine learning approaches exploring the optimal number of driver profiles based on naturalistic driving data

Time-series clustering for pattern recognition of speed and heart rate while driving: A magnifying lens on the seconds around harsh events

Exploring the Influence of Signal Countdown Timers on Driver Behavior: An Analysis of Pedestrian–Vehicle Conflicts at Signalized Intersections

Driver Profile and Driving Pattern Recognition for Road Safety Assessment: Main Challenges and Future Directions

The usefulness of artificial intelligence for safety assessment of different transport modes

“I did not see that coming”: A latent variable structural equation model for understanding the effect of road predictability on crashes along horizontal curves

Investigating the effects of sleepiness in truck drivers on their headway: An instrumental variable model with grouped random parameters and heterogeneity in their means

Constructing Knowledge Maps for Situation Awareness of Maritime Autonomous Surface Ships

Road-safety-II: Opportunities and barriers for an enhanced road safety vision

Ergonomic factors affecting comprehension levels of traffic signs: A critical review

Semantic Modeling of Ship Behavior in Cognitive Space

Towards common ethical and safe ‘behaviour’ standards for automated vehicles

Disentangling the effects of unobserved factors on seatbelt use choices in multi-occupant vehicles

How much should a pedestrian be fined for intentionally blocking a fully automated vehicle? A random parameters beta hurdle model with heterogeneity in the variance of the beta distribution

Review and assessment of different perspectives of vehicle-pedestrian conflicts and crashes: Passive and active analysis approaches

Prediction of rear-end conflict frequency using multiple-location traffic parameters

Predictors of accidents in people with mild cognitive impairment, mild dementia due to Alzheimer's disease and healthy controls in simulated driving