Jonas Bärgman

Professor at Vehicle Safety

Jonas Bärgman is a researcher / associate professor, and lead the research group Safety Evaluation in the Division of Vehicle Safety, at the Mechanics and Maritime Department. Jonas research has several components, all aimed at understanding how traffic safety is affected by driver behavior, vehicles (including intelligent systems/vehicle automation), and the environment (e.g., other road-users), in the pre-crash phase. His research ranges from quantifying driver comfort zone boundaries in everyday driving, via the understanding of why crashes occur (crash causation mechanisms) and to develop quantitative models of driver behavior in critical situation, to the development and application of the counterfactual (computer) simulation method to evaluate the safety impact of driver behaviors, driver support and automated systems, and the environment. A majority of the research use different forms of naturalistic driving data as a key component, but also test-track, on-road and simulator experiments are research tools Jonas uses.

Jonas is examiner for the Vehicle and Traffic Safety (TME202) masters course in the masters program for automotive engineering at Chalmers. He also is a lecturer in the Active Safety course in the same program, and active in ISO.

Source: chalmers.se
Image of Jonas Bärgman

Showing 69 publications

2024

Evaluation of comfort zone boundary based automated emergencybraking algorithms for car-to-powered-two-wheeler crashes inChina

Xiaomi Yang, Nils Lübbe, Jonas Bärgman
IET Intelligent Transport Systems. Vol. 18 (9), p. 1599-1615
Journal article
2024

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

Sarang Jokhio, Pierluigi Olleja, Jonas Bärgman et al
IEEE Transactions on Intelligent Transportation Systems. Vol. 25 (5), p. 4620-4633
Journal article
2024

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

Malin Svärd, Gustav M Markkula, Mikael Ljung Aust et al
Transportation Research Part F: Traffic Psychology and Behaviour. Vol. 100, p. 361-387
Journal article
2024

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

Henrik Imberg, Xiaomi Yang, Carol Ann Cook Flannagan et al
Technometrics
Journal article
2024

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

Jian Wu, Carol Flannagan, Ulrich Sander et al
IEEE Transactions on Intelligent Transportation Systems
Journal article
2024

Methodological challenges of scenario generation validation: A rear-end crash-causation model for virtual safety assessment

Jonas Bärgman, Malin Svärd, Simon Lundell et al
Transportation Research Part F: Traffic Psychology and Behaviour. Vol. 104, p. 374-410
Journal article
2024

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

Jian Wu, Carol Flannagan, Ulrich Sander et al
IEEE Transactions on Intelligent Transportation Systems. Vol. 25 (9), p. 10866-10884
Journal article
2024

Influence of surrounding traffic on lane change dynamics: Insights from a video-based laboratory study

Sarang Jokhio, Marco Dürr, Jonas Bärgman et al
Transportation Research Part F: Traffic Psychology and Behaviour. Vol. 105, p. 87-98
Journal article
2024

Continuous Experimentation and Human Factors An Exploratory Study

Amna Pir Muhammad, Eric Knauss, Jonas Bärgman et al
Lecture Notes in Computer Science. Vol. 14483 LNCS, p. 511-526
Paper in proceeding
2024

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

Sarang Jokhio, Pierluigi Olleja, Jonas Bärgman et al
IET Intelligent Transport Systems. Vol. 18 (2), p. 393-408
Journal article
2023

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

Amna Pir Muhammad, Eric Knauss, Jonas Bärgman et al
Proceedings of the IEEE International Conference on Requirements Engineering. Vol. 2023-September, p. 347-352
Paper in proceeding
2023

A reference-driver model for overtaking a cyclist

Pierluigi Olleja, Alexander Rasch, Jonas Bärgman
Other conference contribution
2023

Human factors in developing automated vehicles: A requirements engineering perspective

Amna Pir Muhammad, Eric Knauss, Jonas Bärgman
Journal of Systems and Software. Vol. 205
Journal article
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?

Pierluigi Olleja, Jonas Bärgman, Nils Lübbe
Journal of Safety Research. Vol. 83, p. 139-151
Journal article
2022

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

Malin Svärd, Jonas Bärgman, Gustav M Markkula et al
12th International Conference on Methods and Techniques in Behavioral Research and 6th Seminar on Behavioral Methods. Vol. 2
Paper in proceeding
2022

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

Emma Nilsson, Jonas Bärgman, Mikael Ljung Aust et al
Frontiers in Neuroergonomics. Vol. 3
Journal article
2021

Naturalistic Driving Studies: An Overview and International Perspective

Johnathon P. Ehsani, Joanne L. Harbluk, Jonas Bärgman et al
International Encyclopedia of Transportation: Volume 1-7. Vol. 7, p. 20-38
Book chapter
2021

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

Wilbert Tabone, Joost De Winter, Claudia Ackermann et al
Transportation Research Interdisciplinary Perspectives. Vol. 9
Journal article
2021

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

Malin Svärd, Gustav M Markkula, Jonas Bärgman et al
Accident Analysis and Prevention. Vol. 163
Journal article
2020

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

Jonas Bärgman, Trent Victor
IET Intelligent Transport Systems. Vol. 14 (9), p. 1058-1067
Journal article
2020

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

Jordanka Kovaceva, Jonas Bärgman, Marco Dozza
Transportation Research Part F: Traffic Psychology and Behaviour. Vol. 75, p. 87-105
Journal article
2019

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

Nicole van Nes, Jonas Bärgman, Michiel Christoph et al
Safety Science. Vol. 119, p. 11-20
Journal article
2019

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

Carol Flannagan, Jonas Bärgman, András Bálint
Transportation Research Part F: Traffic Psychology and Behaviour. Vol. 63, p. 186-192
Journal article
2019

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

Jordanka Kovaceva, Gustav Nero, Jonas Bärgman et al
Safety Science. Vol. 119, p. 199-206
Journal article
2018

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

Ja Young Lee, John D Lee, Jonas Bärgman et al
Accident Analysis and Prevention. Vol. 110, p. 29-37
Journal article
2018

Great expectations: A predictive processing account of automobile driving

Johan A Skifs Engström, Jonas Bärgman, Daniel Nilsson et al
Theoretical Issues in Ergonomics Science. Vol. 19 (2), p. 156-194
Journal article
2018

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

Nils Lübbe, Hanna Jeppsson, Arian Ranjbar et al
Conference proceedings International Research Council on the Biomechanics of Injury, IRCOBI. Vol. 2018-September, p. 17-52
Paper in proceeding
2018

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

Carol Flannagan, Jonas Bärgman, Andras Balint
Paper in proceeding
2017

Driver Distraction and Inattention

Oliver Carsten, Daryl Hibberd, Jonas Bärgman et al
Report
2017

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

Hrafnhildur Hekla Eiríksdóttir, Johan A Skifs Engström, Jonas Bärgman
6th International Symposium on Naturalistic Driving Research. June 8-9. The Hague, The Netherlands
Paper in proceeding
2017

Risk factors, crash causation and everyday driving

Mandy Dotzauer, Eric Stemmler, Fabian Utesch et al
Report
2017

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

Malin Svärd, Gustav M Markkula, Johan A Skifs Engström et al
Proceedings of the Human Factors and Ergonomics Society. Vol. 61 (1), p. 339 - 343
Paper in proceeding
2017

The UDrive dataset and key analysis results

Jonas Bärgman, Nicole van Nes, Michiel Christoph et al
Report
2017

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

Jonas Bärgman, Fabio Forcolin, Jordanka Kovaceva et al
Conference poster
2017

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

Reinier J. Jansen, Jonas Bärgman, Jordanka Kovaceva et al
6th International Symposium on Naturalistic Driving Research, June 8-9. The Hague, The Netherlands
Paper in proceeding
2017

Interactions with vulnerable road users

Reinier J Jansen, Tsippy Lotan, Martin Winkelbauer et al
Report
2017

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

Jordanka Kovaceva, Jonas Bärgman, Gustav Nero et al
The 6th International Naturalistic Driving Research Symposium, the Hague, the Netherlands, 8-9 June 2017
Paper in proceeding
2017

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

Jonas Bärgman, Christian-Nils Åkerberg Boda, Marco Dozza
Accident Analysis and Prevention. Vol. 102, p. 165-180
Journal article
2017

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

Giulio Bianchi Piccinini, Johan A Skifs Engström, Jonas Bärgman et al
Journal of Safety Research. Vol. 62, p. 143-153
Journal article
2017

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

Marco Dozza, Christian-Nils Åkerberg Boda, Jonas Bärgman
Proceeding of the Road Safety and Simulation International Conference, RSS2017, 17-19 October 2017
Paper in proceeding
2016

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

Gustav M Markkula, Johan A Skifs Engström, J. Lodin et al
Accident Analysis and Prevention. Vol. 95, p. 209-226
Journal article
2015

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

Jonas Bärgman, Kip Smith, Julia Werneke
Transportation Research Part F: Traffic Psychology and Behaviour. Vol. 35, p. 170-184
Journal article
2015

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

Jonas Bärgman, Vera Lisovskaja, Trent Victor et al
Transportation Research Part F: Traffic Psychology and Behaviour. Vol. 35, p. 152-169
Journal article
2015

On the analysis of naturalistic driving data

Jonas Bärgman
Licentiate thesis
2013

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

Azra Habibovic, Emma Tivesten, Uchida Nobuyuki et al
Accident Analysis and Prevention. Vol. 50, p. 554-565
Journal article
2013

ANNEXT - Slutrapport

Jonas Bärgman, Julia Werneke, Johan A Skifs Engström
Report
2013

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

Trent Victor, Jonas Bärgman, Marco Dozza et al
Proceedings of the 3rd Conference of Driver Distraction and Inattention, Gothenbrug, 4-6 September, 2013
Other conference contribution
2013

Chunking: a procedure to improve naturalistic data analysis

Marco Dozza, Jonas Bärgman, John Lee
Accident Analysis and Prevention. Vol. 58, p. 309-317
Journal article
2013

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

Jonas Bärgman, Julia Werneke, Christian-Nils Åkerberg Boda et al
Proceedings of the Seventh International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, p. 177-183
Paper in proceeding
2013

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

Johan A Skifs Engström, Julia Werneke, Jonas Bärgman et al
PROCEEDINGS of the 3rd International Conference on Driver Distraction and Inattention
Paper in proceeding
2013

DREAMi – Final Report

Azra Habibovic, Jonas Bärgman
Report
2012

Manual for DREAM version 3.2

Mikael Ljung Aust, Azra Habibovic, Emma Tivesten et al
Report
2012

Deliverable D3.3: Data management in euroFOT

Selpi Selpi, Samuel Borgen, Jonas Bärgman et al
Report
2011

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

Jonas Bärgman, Helena Gellerman, Jordanka Kovaceva et al
Proceedings of the 8th European Congress and Exhibition on Intelligent Transport Systems and Services, June 2011, Lyon
Paper in proceeding
2010

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

Marco Dozza, Jonas Bärgman
Proceedings of the Second International Symposium on Naturalistic Driving Research, Blacksburg, August 31 - September 2, 2010
Paper in proceeding
2009

An invariant may drive the decision to encroach at unsignalized intersections

Kip Smith, Aurélie Thome, Christian Blåberg et al
PROCEEDINGS of the Fifth International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, p. 313-319
Paper in proceeding
2006

Offset Eliminative Map Matching Algorithm for Intersection Active Safety

Tohid Ardeshiri, Sogol Kharrazi, Robert Thomson et al
2006 IEEE Intelligent Vehicles Symposium, IV 2006; Meguro-Ku, Tokyo; Japan; 13 June 2006 through 15 June 2006 (1689609), p. 82-88
Paper in proceeding
2006

Sensor Fusion for Vehicle Positioning in Intersection Active Safety Applications

Tohid Ardeshiri, Sogol Kharrazi, Jonas Sjöberg et al
8th International Symposium on Advanced Vehicle Control
Other conference contribution

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Showing 15 research projects

2023–2024

Efficient human-centered safety systems (EFFECT)

Jonas Bärgman Vehicle Safety
Jordanka Kovaceva Vehicle Safety
Nikolce Murgovski Mechatronics
Robert Lowe Cognition and Communication
Chalmers

2022–2025

V4SAFETY Vehicles and VRU Virtual eValuation of Road Safety

Jonas Bärgman Crash Analysis and Prevention
European Commission (EC)

1 publication exists
2021–2024

Improved quantitative driver behavior models and safety assessment methods for ADAS and AD (QUADRIS)

Jonas Bärgman Crash Analysis and Prevention
VINNOVA

9 publications exist
2021–2022

Cyclist Interaction with Automated Vehicles – CI-AV

Marco Dozza Crash Analysis and Prevention
Erik Ström Communication, Antennas and Optical Networks
Jonas Sjöberg Mechatronics
Karinne Ramirez-Amaro Mechatronics
Jonas Bärgman Crash Analysis and Prevention
Chalmers

2020–2020

Multi-disciplinary research for a Safe Transition to automated transport in the cities of tomorrow (MuST)

Marco Dozza Crash Analysis and Prevention
Rebecka Jörnsten Applied Mathematics and Statistics
Eric Knauss Software Engineering for Testing, Requirements, Innovation and Psychology
Erik Ström Communication, Antennas and Optical Networks
Jonas Bärgman Crash Analysis and Prevention
Christian Berger Software Engineering for Cyber Physical Systems
András Bálint Crash Analysis and Prevention
Chalmers

2019–2024

Supporting the interaction of Humans and Automated vehicles: Preparing for the Environment of Tomorrow (Shape-IT)

Jonas Bärgman Crash Analysis and Prevention
Chi Zhang Interaction Design and Software Engineering
Amna Pir Muhammad Testing, Requirements, Innovation and Psychology
Jacqueline Plette Chalmers, Research support
Eric Knauss Testing, Requirements, Innovation and Psychology
Christian Berger Cyber Physical Systems
European Commission (EC)

33 publications exist
2018–2019

ICAD: Intention Communication in Automated Driving: What Language Will Automated Vehicles Speak to Humans?

Marco Dozza Vehicle Safety
Alexander Almér Cognition and Communication
Erik Ström Communication, Antennas and Optical Networks
Robert Lowe Cognition and Communication
Christian Berger Software Engineering for Cyber Physical Systems
Marina Papatriantafilou Networks and Systems (Chalmers)
Jonas Bärgman Vehicle Safety
Mattias Wahde Vehicle Engineering and Autonomous Systems
Chalmers

2018–2019

Safety in automated driving (ADS): modelling interaction between road-users and automated vehicles

Marco Dozza Vehicle Safety
Marina Papatriantafilou Networks and Systems (Chalmers)
Christian Berger Software Engineering for Cyber Physical Systems
Jonas Bärgman Vehicle Safety
Giulio Bianchi Piccinini Vehicle Safety
Erik Ström Communication, Antennas and Optical Networks
Chalmers

2 publications exist
2017–2019

User and safety benefit evaluation on autonomous driving

Jonas Bärgman Vehicle Safety
Thomas Streubel Vehicle Safety
Chalmers

2016–2019

Quantitative Driver Behaviour Modelling for Active Safety Assessment Expansion (QUADRAE)

Robert Thomson Vehicle Safety
Giulio Bianchi Piccinini Accident Prevention
Marco Dozza Accident Prevention
Jonas Bärgman Accident Prevention
Esko Lehtonen Vehicle Safety
Thomas Streubel Vehicle Safety
VINNOVA

7 publications exist
2015–2016

Analysis of CRASH Event Data recorder data with video (CRASHED)

Jonas Bärgman Vehicle and Traffic Safety Centre at Chalmers (SAFER)
Giulio Bianchi Piccinini Accident Prevention
VINNOVA

2013–2015

Analysis Framework for Safety Systems and Services

Jonas Bärgman Accident Prevention
Giulio Bianchi Piccinini Accident Prevention
VINNOVA

2013–2015

Analysis of the SHRP2 Naturalistic Driving Study Data

Trent Victor Vehicle and Traffic Safety Centre at Chalmers (SAFER)
Holger Rootzen Applied Mathematics and Statistics
Jonas Bärgman Accident Prevention
Marco Dozza Accident Prevention
National Academy of Sciences (NAS)

2012–2016

eUropean naturalistic Driving and Riding for Infrastructure & Vehicle safety and Environment (UDRIVE)

Jonas Bärgman Accident Prevention
European Commission (EC)

3 publications exist
2012–2015

Gränser för förartrygghet i korsningar (DCBIN)

Jonas Bärgman Accident Prevention
VINNOVA

There might be more projects where Jonas Bärgman participates, but you have to be logged in as a Chalmers employee to see them.