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Accident; Analysis and Prevention
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February 6, 2025
Validation of human benchmark models for automated driving system approval: How competent and careful are they really?
Pierluigi Olleja, Gustav Markkula, Jonas Bärgman
Accident; Analysis and Prevention
|
August 26, 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 Lubbe, Jonas Bärgman
Accident; Analysis and Prevention
|
December 22, 2021
On the importance of driver models for the development and assessment of active safety: A new collision warning system to make overtaking cyclists safer
Jordanka Kovaceva, Jonas Bärgman, Marco Dozza
Journal of Safety Research
|
December 8, 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 Lubbe
Accident; Analysis and Prevention
|
July 5, 2021
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
Bo Sui, Nils Lubbe, Jonas Bärgman
Accident; Analysis and Prevention
|
December 14, 2020
Detection and response to critical lead vehicle deceleration events with peripheral vision: Glance response times are independent of visual eccentricity
Malin Svärd, Jonas Bärgman, Trent Victor
Accident; Analysis and Prevention
|
September 25, 2012
Chunking: a procedure to improve naturalistic data analysis
Marco Dozza, Jonas Bärgman, John D Lee
Accident; Analysis and Prevention
|
March 19, 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
Journal of Safety Research
|
September 9, 2017
Factors contributing to commercial vehicle rear-end conflicts in China: A study using on-board event data recorders
Giulio Bianchi Piccinini, Johan Engström, Jonas Bärgman, et al.
Accident; Analysis and Prevention
|
October 21, 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 Markkula, Jonas Bärgman, et al.
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Search research articles
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Showing results (1-10 of 16) with videos related to
Sort By:
Page
of 2
Accident; Analysis and Prevention
|
February 6, 2025
Validation of human benchmark models for automated driving system approval: How competent and careful are they really?
Pierluigi Olleja, Gustav Markkula, Jonas Bärgman
Accident; Analysis and Prevention
|
August 26, 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 Lubbe, Jonas Bärgman
Accident; Analysis and Prevention
|
December 22, 2021
On the importance of driver models for the development and assessment of active safety: A new collision warning system to make overtaking cyclists safer
Jordanka Kovaceva, Jonas Bärgman, Marco Dozza
Journal of Safety Research
|
December 8, 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 Lubbe
Accident; Analysis and Prevention
|
July 5, 2021
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
Bo Sui, Nils Lubbe, Jonas Bärgman
Accident; Analysis and Prevention
|
December 14, 2020
Detection and response to critical lead vehicle deceleration events with peripheral vision: Glance response times are independent of visual eccentricity
Malin Svärd, Jonas Bärgman, Trent Victor
Accident; Analysis and Prevention
|
September 25, 2012
Chunking: a procedure to improve naturalistic data analysis
Marco Dozza, Jonas Bärgman, John D Lee
Accident; Analysis and Prevention
|
March 19, 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
Journal of Safety Research
|
September 9, 2017
Factors contributing to commercial vehicle rear-end conflicts in China: A study using on-board event data recorders
Giulio Bianchi Piccinini, Johan Engström, Jonas Bärgman, et al.
Accident; Analysis and Prevention
|
October 21, 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 Markkula, Jonas Bärgman, et al.
Page
of 2