J. Bärgman

发表

Sensor Fusion for Vehicle Positioning in Intersection Active Safety Applications

Jonas Sjöberg, Mathias R Lidberg, Tohid Ardeshiri, 2006 .

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

Marco Dozza, Jonas Bärgman, Jordanka Kovaceva, 2020, Transportation Research Part F: Traffic Psychology and Behaviour.

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

J. Bärgman, J. Kovaceva, M. Dozza, 2019, Safety Science.

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

Jonas Fredriksson, Jonas Bärgman, Hanna Jeppsson, 2018 .

The UDrive dataset and key analysis results

Fridulv Sagberg, Martin Winkelbauer, Tsippy Lotan, 2017 .

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

Nicole van Nes, Michiel Christoph, Ingrid van Schagen, 2019, Safety Science.

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

Nobuyuki Uchida, Jonas Bärgman, Mikael Ljung Aust, 2013, Accident; analysis and prevention.

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

Marco Dozza, Jonas Bärgman, Trent Victor, 2013 .

Pedestrian Detection with near and far Infrared Night Vision Enhancement

J. Bärgman, Omer Tsimhoni, M. Flannagan, 2007 .

Great expectations: a predictive processing account of automobile driving

Johan Engström, Daniel Nilsson, Gustav Markkula, 2018 .

An Invariant May Drive the Decision to Encroach at Unsignalized Intersections

Jonas Bärgman, Kersha Smith, Christian Blåberg, 2017 .

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.

Jonas Bärgman, Bo Sui, Nils Lubbe, 2019, Accident; analysis and prevention.

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

J. Bärgman, G. Matthews, M. Ljung Aust, 2022, Frontiers in Neuroergonomics.

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

J. Bärgman, G. Markkula, M. Svärd, 2020, Accident; analysis and prevention.

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

Gustav Markkula, Jonas Bärgman, Trent Victor, 2016, Accident; analysis and prevention.

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

Jonas Bärgman, Trent Victor, Malin Svärd, 2020, Accident; analysis and prevention.

Chunking: a procedure to improve naturalistic data analysis.

Marco Dozza, Jonas Bärgman, John D Lee, 2013, Accident; analysis and prevention.

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

Marco Dozza, Johan Engström, Gustav Markkula, 2014 .

Methods for Analysis of Naturalistic Driving Data in Driver Behavior Research

Jonas Bärgman, J. Bärgman, 2016 .

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

Marco Dozza, Carol A. C. Flannagan, Jonas Bärgman, 2015 .

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

Marco Dozza, Jonas Bärgman, Christian-Nils Boda, 2017, Accident; analysis and prevention.

On the analysis of naturalistic driving data: development and evaluation of methods for analysis of naturalistic driving data from a variety of data sources

Jonas Bärgman, J. Bärgman, 2015 .

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

Neville A. Stanton, Natasha Merat, Riender Happee, 2021, Transportation Research Interdisciplinary Perspectives.

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

Natasha Merat, Martin Baumann, Jonas Bärgman, 2021 .

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

J. Bärgman, T. Victor, G. Markkula, 2021, Accident; analysis and prevention.

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

Bryan Reimer, John D Lee, Jonas Bärgman, 2018, Accident; analysis and prevention.

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

Xuesong Wang, Jonas Bärgman, Johan Engström, 2017, Journal of safety research.

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.

J. Bärgman, N. Lubbe, Bo Sui, 2021, Accident; analysis and prevention.