Jonas Bärgman

Forskare at Chalmers, Mechanics and Maritime Sciences, Vehicle Safety

Jonas Bärgman is a project and group leader (deputy) in the Division of Vehicle Safety and the Accident Prevention Group. Jonas works in a number of projects, but with initial focus on euroFOT that is about evaluating a number of in-vehicle active safety systems already on the market with the methodology Naturalistic Field Operational Tests. Jonas has previously worked at Autoliv Research (dep. Active Safery), but has also earlier worked at Volvo Technology. Jonas Bärgman has also spent five months as a guest researcher at University of Michigan Transportation Research Institute (UMTRI) and their Human Factors group.

Source: chalmers.se

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

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

Publications

2017

Great expectations: A predictive processing account of automobile driving

Johan Engström, Jonas Bärgman, Daniel Nilsson et al
Theoretical Issues in Ergonomics Science, p. 1-39
Scientific journal article - peer reviewed
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 Boda, Marco Dozza et al
Accident Analysis and Prevention. Vol. 102, p. 165–180
Scientific journal article - peer reviewed
2016

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

G. Markkula, Johan Engström, J. Lodin et al
Accident Analysis and Prevention. Vol. 95, p. 209-226
Scientific journal article - peer reviewed
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 et al
Transportation Research Part F: Traffic Psychology and Behaviour. Vol. 35, p. 170–184
Scientific journal article - peer reviewed
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
Scientific journal article - peer reviewed
2015

On the analysis of naturalistic driving data

Jonas Bärgman,
Licentiate thesis
2013

DREAMi – Final Report

Azra Habibovic, Jonas Bärgman,
Report
2013

ANNEXT - Slutrapport

Jonas Bärgman, Julia Werneke, Johan Engström et al
Report
2013

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

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

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

Johan Engström, Julia Werneke, Jonas Bärgman et al
PROCEEDINGS of the 3rd International Conference on Driver Distraction and Inattention
Conference paper - peer reviewed
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 paper - non peer reviewed
2013

Chunking: a procedure to improve naturalistic data analysis

Marco Dozza, Jonas Bärgman, John Lee et al
Accident Analysis and Prevention. Vol. 58, p. 309-317
Scientific journal article - peer reviewed
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, 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
Scientific journal article - peer reviewed
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
Conference paper - peer reviewed
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
Conference paper - peer reviewed
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
Conference paper - peer reviewed
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
Conference paper - peer reviewed
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 paper - non peer reviewed