Jonas Bärgman

Senior forskare vid Chalmers, Mekanik och maritima vetenskaper, Fordonssäkerhet, Olycksanalys och prevention

Mer information om Jonas Bärgman finns på Chalmers engelska webbsidor.

Källa: chalmers.se

Visar 41 publikationer

2019

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

Bo Sui, Nils Lübbe, Jonas Bärgman
Accident Analysis and Prevention. Vol. 132
Artikel i vetenskaplig tidskrift
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. Volume 119 (November), p. 199-206
Artikel i vetenskaplig tidskrift
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
Artikel i vetenskaplig tidskrift
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
Artikel i vetenskaplig tidskrift
2018

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

Carol Flannagan, Jonas Bärgman, Andras Balint
Paper i proceeding
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
Artikel i vetenskaplig tidskrift
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
Artikel i vetenskaplig tidskrift
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 i proceeding
2017

The UDrive dataset and key analysis results

Jonas Bärgman, Nicole van Nes, Michiel Christoph et al
Rapport
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
Artikel i vetenskaplig tidskrift
2017

Driver Distraction and Inattention

Oliver Carsten, Daryl Hibberd, Jonas Bärgman et al
Rapport
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 i proceeding
2017

Risk factors, crash causation and everyday driving

Mandy Dotzauer, Eric Stemmler, Fabian Utesch et al
Rapport
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
Poster (konferens)
2017

Interactions with vulnerable road users

Reinier J Jansen, Tsippy Lotan, Martin Winkelbauer et al
Rapport
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 i proceeding
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
Artikel i vetenskaplig tidskrift
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 i proceeding
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 i proceeding
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 i 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
Artikel i vetenskaplig tidskrift
2015

On the analysis of naturalistic driving data

Jonas Bärgman
Licentiatavhandling
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
Artikel i vetenskaplig tidskrift
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
Artikel i vetenskaplig tidskrift
2014

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

Trent Victor, Marco Dozza, Jonas Bärgman et al
Rapport
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 i proceeding
2013

ANNEXT - Slutrapport

Jonas Bärgman, Julia Werneke, Johan A Skifs Engström
Rapport
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
Konferensbidrag (offentliggjort, men ej förlagsutgivet)
2013

Chunking: a procedure to improve naturalistic data analysis

Marco Dozza, Jonas Bärgman, John Lee
Accident Analysis and Prevention. Vol. 58, p. 309-317
Artikel i vetenskaplig tidskrift
2013

DREAMi – Final Report

Azra Habibovic, Jonas Bärgman
Rapport
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
Artikel i vetenskaplig tidskrift
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 i proceeding
2012

Deliverable D3.3: Data management in euroFOT

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

Manual for DREAM version 3.2

Mikael Ljung Aust, Azra Habibovic, Emma Tivesten et al
Rapport
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 i 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 i 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 i 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
Konferensbidrag (offentliggjort, men ej förlagsutgivet)
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 i proceeding

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Visar 10 forskningsprojekt

2019–2023

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

Jonas Bärgman Olycksanalys och prevention
Jacqueline Plette Forsknings- och samverkansstöd
Europeiska kommissionen (Horisont 2020)

2018–2019

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

Marco Dozza Fordonssäkerhet
Alexander Almér Kognition och kommunikation
Erik Ström Kommunikations- och antennsystem
Robert Lowe Kognition och kommunikation
Christian Berger Software Engineering for Cyber Psysical Systems
Marina Papatriantafilou Nätverk och system
Jonas Bärgman Fordonssäkerhet
Mattias Wahde Fordonsteknik och autonoma system
Chalmers

2018–2019

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

Marco Dozza Fordonssäkerhet
Marina Papatriantafilou Nätverk och system
Christian Berger Software Engineering for Cyber Psysical Systems
Jonas Bärgman Fordonssäkerhet
Giulio Bianchi Piccinini Fordonssäkerhet
Erik Ström Kommunikations- och antennsystem
Chalmers

2017–2019

Användar-och trafiksäkerhetsutvärdering av autonom körning

Jonas Bärgman Fordonssäkerhet
Thomas Streubel Fordonssäkerhet
Chalmers

2016–2019

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

Robert Thomson Fordonssäkerhet
Giulio Bianchi Piccinini Olycksprevention
Marco Dozza Olycksprevention
Jonas Bärgman Olycksprevention
Esko Lehtonen Fordonssäkerhet
Thomas Streubel Fordonssäkerhet
VINNOVA

2015–2016

Analys av data från händelsestyrd insamling av krockar med video

Jonas Bärgman SAFER, Fordons- och trafiksäkerhetscentrum
Giulio Bianchi Piccinini Olycksprevention
VINNOVA

2013–2015

Analysis Framework for Safety Systems and Services

Jonas Bärgman Olycksprevention
Giulio Bianchi Piccinini Olycksprevention
VINNOVA

2013–2015

Analysis of the SHRP2 Naturalistic Driving Study Data

Trent Victor SAFER, Fordons- och trafiksäkerhetscentrum
Holger Rootzen Tillämpad matematik och statistik
Jonas Bärgman Olycksprevention
Marco Dozza Olycksprevention
National Academy of Sciences (NAS)

2012–2016

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

Jonas Bärgman Olycksprevention
Europeiska kommissionen (FP7)

2012–2015

Gränser för förartrygghet i korsningar (DCBIN)

Jonas Bärgman Olycksprevention
VINNOVA

Det kan finnas fler projekt där Jonas Bärgman medverkar, men du måste vara inloggad som anställd på Chalmers för att kunna se dem.