Jonas Bärgman

2024

Using naturalistic and driving simulator data to model driver responses to unintentional lane departures

2024

Modeling Lead-Vehicle Kinematics for Rear-End Crash Scenario Generation

Continuous Experimentation and Human Factors An Exploratory Study

2024

Exploring turn signal usage patterns in lane changes: A Bayesian hierarchical modelling analysis of realistic driving data

Managing Human Factors in Automated Vehicle Development: Towards Challenges and Practices

2023

Analysis of Time-to-Lane-Change-Initiation Using Realistic Driving Data

A reference-driver model for overtaking a cyclist

2023

Human factors in developing automated vehicles: A requirements engineering perspective

2023

Data and data collection methodologies for the development of computational models of AV/VRU interaction and their integration into virtual simulation testing of AV : Deliverable 2.3 in the EC ITN project SHAPE-IT

2022

Can non-crash naturalistic driving data be an alternative to crash data for use in virtual assessment of the safety performance of automated emergency braking systems?

2022

Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples

2022

On the importance of driver models for the development and assessment of active safety: A new collision warning system to make overtaking cyclists safer

Do Car Drivers Respond Earlier to Close Lateral Motion Than to Looming?

2022

Let Complexity Bring Clarity: A Multidimensional Assessment of Cognitive Load Using Physiological Measures

Evaluating automated emergency braking performance in simulated car-to-two-wheeler crashes in China: A comparison between C-NCAP tests and in-depth crash data

Naturalistic Driving Studies: An Overview and International Perspective

2021

Vulnerable road users and the coming wave of automated vehicles: Expert perspectives

2021

An Overview of Interfaces for Automated Vehicles (inside/outside) (Deliverable D2.1 in the H2020 MSCA ITN project SHAPE-IT)

2021

Computational modeling of driver pre-crash brake response, with and without off-road glances: Parameterization using real-world crashes and near-crashes

2021

Detection and response to critical lead vehicle deceleration events with peripheral vision: Glance response times are independent of visual eccentricity

2021

Methodological Framework for Modelling and Empirical Approaches (Deliverable D1.1 in the H2020 MSCA ITN project SHAPE-IT)

2020

Holistic assessment of driver assistance systems: how can systems be assessed with respect to how they impact glance behaviour and collision avoidance?

2020

A comparison of computational driver models using naturalistic and test-track data from cyclist-overtaking manoeuvres

The potential of naturalistic driving for in-depth understanding of driver behavior: UDRIVE results and beyond

Replacement of distractions with other distractions: A propensity-based approach to estimating realistic crash odds ratios for driver engagement in secondary tasks

A clustering approach to developing car-to-two-wheeler test scenarios for the assessment of Automated Emergency Braking in China using in-depth Chinese crash data

Drivers overtaking cyclists in the real-world: evidence from a naturalistic driving study

How safe is tuning a radio?: using the radio tuning task as a benchmark for distracted driving

Great expectations: A predictive processing account of automobile driving

Predicted road traffic fatalities in Germany: The potential and limitations of vehicle safety technologies from passive safety to highly automated driving

What Are Drivers Doing When They Aren't on the Cell Phone?

Driver Distraction and Inattention

The perfect mismatch: Analysis of rear-end crash causation mechanisms based on naturalistic crash data

A quantitative driver model of pre-crash brake onset and control

Risk factors, crash causation and everyday driving

The UDrive dataset and key analysis results

When, where and how often do professional drivers use their mobile phones?

Interactions between car drivers and cyclists: A naturalistic perspective on gaze behavior in right-turn maneuvers

Interactions with vulnerable road users

Car drivers overtaking cyclists: A European perspective using naturalistic driving data

Counterfactual simulations applied to SHRP2 crashes: The effect of driver behavior models on safety benefit estimations of intelligent safety systems

2017

Factors contributing to commercial vehicle rear-end conflicts in China: A study using on-board event data recorders

Using Wireless Communication to Control Road-user Interactions in the Real World

2016

Methods for Analysis of Naturalistic Driving Data in Driver Behavior Research

A farewell to brake reaction times? Kinematics-dependent brake response in naturalistic rear-end emergencies

2015

Quantifying drivers’ comfort-zone and dread-zone boundaries in left turn across path/opposite direction (LTAP/OD) scenarios

2015

How does glance behavior influence crash and injury risk? A ‘what-if’ counterfactual simulation using crashes and near-crashes from SHRP2

2015

On the analysis of naturalistic driving data

Analysis of Naturalistic Driving Study Data: Safer Glances, Driver Inattention, and Crash Risk

Driver behavior in car-to-pedestrian incidents: An application of the Driving Reliability and Error Analysis Method (DREAM)

ANNEXT - Slutrapport

Safer Glances, Driver Inattention, and Crash Risk: An Investigation Using the SHRP 2 Naturalistic Driving Study

2013

Chunking: a procedure to improve naturalistic data analysis

Using manual measurements on event recorder video and image processing algorithms to extract optical parameters.

Analysis of the role of inattention in road crashes based on naturalistic on-board safety monitoring data

DREAMi – Final Report

Initial Analyses from the SHRP 2 Naturalistic Driving Study - Addressing Driver Performance and Behavior in Traffic Safety

2012

Manual for DREAM version 3.2

2012

Deliverable D3.3: Data management in euroFOT

On data security and analysis platforms for analysis of naturalistic driving data

Chunking: a Method to Increase Robustness of Naturalistic Field-Operational-Test Data Analysis

An invariant may drive the decision to encroach at unsignalized intersections

Offset Eliminative Map Matching Algorithm for Intersection Active Safety

Sensor Fusion for Vehicle Positioning in Intersection Active Safety Applications