Jonas Bärgman

Forskare at Chalmers, Mechanics and Maritime Sciences, 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

Publications

2017

The UDrive dataset and key analysis results

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

Driver Distraction and Inattention

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

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
2017

Risk factors, crash causation and everyday driving

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

Interactions with vulnerable road users

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

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

Jonas Bärgman, Fabio Forcolin, Jordanka Kovaceva et al
The 6th International Naturalistic Driving Research Symposium, the Hague, the Netherlands, 8-9 June 2017
Conference poster
2017

Great expectations: A predictive processing account of automobile driving

Johan A Skifs Engström, Jonas Bärgman, Daniel Nilsson et al
Theoretical Issues in Ergonomics Science, p. 1-39
Journal article
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 proceedings
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 Annual Meeting. Vol. 61 (1), p. 339 - 343
Paper in proceedings
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 proceedings
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 proceedings
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

On the analysis of naturalistic driving data

Jonas Bärgman
Licentiate thesis
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
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 proceedings
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

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
Conference contribution
2013

DREAMi – Final Report

Azra Habibovic, Jonas Bärgman
Report
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 proceedings
2012

Deliverable D3.3: Data management in euroFOT

Selpi Selpi, Samuel Borgen, Jonas Bärgman et al
Report
2012

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
2012

Manual for DREAM version 3.2

Mikael Ljung Aust, Azra Habibovic, Emma Tivesten 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 proceedings
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 proceedings
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 proceedings
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
Conference contribution
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 proceedings

Projects

2016–2019

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

Jonas Bärgman Accident Prevention
Marco Dozza Accident Prevention
Giulio Bianchi Piccinini Accident Prevention
VINNOVA

2015–2016

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

Jonas Bärgman SAFER - Vehicle and Traffic Safety Centre
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 SAFER - Vehicle and Traffic Safety Centre
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 (FP7)

2012–2015

Gränser för förartrygghet i korsningar (DCBIN)

Jonas Bärgman Accident Prevention
VINNOVA

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