Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Jonas Bärgman"'
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 2, Pp 393-408 (2024)
Abstract Using turn signals to convey a driver's intention to change lanes provides a direct and unambiguous way of communicating with nearby drivers. Nonetheless, past research has indicated that drivers may not always use their turn signals before
Externí odkaz:
https://doaj.org/article/501e098d5311443284499efac6b2bf9e
Publikováno v:
Frontiers in Neuroergonomics, Vol 3 (2022)
The effects of cognitive load on driver behavior and traffic safety are unclear and in need of further investigation. Reliable measures of cognitive load for use in research and, subsequently, in the development and implementation of driver monitorin
Externí odkaz:
https://doaj.org/article/c511058bc8274c0f9a47af568f098862
Autor:
Wilbert Tabone, Joost de Winter, Claudia Ackermann, Jonas Bärgman, Martin Baumann, Shuchisnigdha Deb, Colleen Emmenegger, Azra Habibovic, Marjan Hagenzieker, P.A. Hancock, Riender Happee, Josef Krems, John D. Lee, Marieke Martens, Natasha Merat, Don Norman, Thomas B. Sheridan, Neville A. Stanton
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 9, Iss , Pp 100293- (2021)
Automated driving research over the past decades has mostly focused on highway environments. Recent technological developments have drawn researchers and manufacturers to look ahead at introducing automated driving in cities. The current position pap
Externí odkaz:
https://doaj.org/article/958184dce79547fdb1f8fab2986ccc29
Publikováno v:
Transportation Research Part F: Traffic Psychology and Behaviour. 75:87-105
The improvement of advanced driver assistance systems (ADAS) and their safety assessment rely on the understanding of scenario-dependent driving behaviours, such as steering to avoid collisions. This study compares driver models that predict when a d
Publikováno v:
Safety Science. 119:11-20
Within the UDRIVE project, a rich cross-European naturalistic driving database was created which includes everyday driving data on car and truck drivers and powered two-wheeler riders. The database provides extensive, reliable insights into driving b
Publikováno v:
Safety Science. 119:199-206
The total number of road crashes in Europe is decreasing, but the number of crashes involving cyclists is not decreasing at the same rate. When cars and bicycles share the same lane, cars typically need to overtake them, creating dangerous conflicts
Publikováno v:
Journal of safety research. 83
Developers of in-vehicle safety systems need to have data allowing them to identify traffic safety issues and to estimate the benefit of the systems in the region where it is to be used, before they are deployed on-road. Developers typically want in-
Autor:
Trent Victor, Jonas Bärgman
Publikováno v:
IET Intelligent Transport Systems. 14:1058-1067
This study demonstrates the need for a holistic safety-impact assessment of an advanced driver assistance system (ADAS) and its effect on eye-glance behaviour. It implements a substantial incremental development of the what-if (counterfactual) simula
Publikováno v:
Transportation Research Part F: Traffic Psychology and Behaviour. 63:186-192
As Automated Vehicles (AVs) enter the fleet at lower levels of automated (SAE, 2018), the need for human drivers to remain engaged in the driving task will continue. Thus, understanding driver distraction and estimating the reduction in risk associat
Autor:
Claudia Ackermann, Shuchisnigdha Deb, Azra Habibovic, Joost C. F. de Winter, Wilbert Tabone, Martin Baumann, Peter A. Hancock, Donald A. Norman, Thomas B. Sheridan, Marieke Martens, Colleen Emmenegger, Natasha Merat, Neville A. Stanton, Riender Happee, John D. Lee, Marjan Hagenzieker, Jonas Bärgman, Josef F. Krems
Publikováno v:
Transportation Research Interdisciplinary Perspectives
Transportation Research Interdisciplinary Perspectives, 9
Transportation Research Interdisciplinary Perspectives, 9:100293. Elsevier
Transportation Research Interdisciplinary Perspectives, Vol 9, Iss, Pp 100293-(2021)
Transportation Research Interdisciplinary Perspectives, 9
Transportation Research Interdisciplinary Perspectives, 9:100293. Elsevier
Transportation Research Interdisciplinary Perspectives, Vol 9, Iss, Pp 100293-(2021)
Automated driving research over the past decades has mostly focused on highway environments. Recent technological developments have drawn researchers and manufacturers to look ahead at introducing automated driving in cities. The current position pap