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Accident; Analysis and Prevention
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May 17, 2016
Crash risk: How cycling flow can help explain crash data
Marco Dozza
Accident; Analysis and Prevention
|
July 4, 2012
What factors influence drivers' response time for evasive maneuvers in real traffic?
Marco Dozza
Journal of Safety Research
|
May 3, 2015
Driving context influences drivers' decision to engage in visual-manual phone tasks: Evidence from a naturalistic driving study
Emma Tivesten, Marco Dozza
Accident; Analysis and Prevention
|
March 16, 2013
Recognising safety critical events: can automatic video processing improve naturalistic data analyses?
Marco Dozza, Nieves Pañeda González
Accident; Analysis and Prevention
|
November 13, 2024
Understanding factors influencing e-scooterist crash risk: A naturalistic study of rental e-scooters in an urban area
Rahul Rajendra Pai, Marco Dozza
Journal of Safety Research
|
September 10, 2025
Is e-cycling safer than e-scootering? Comparing injury risk across Europe when vehicle-type, location, exposure, usage, and ownership are controlled
Rahul Rajendra Pai, Marco Dozza
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
|
May 19, 2022
A data-driven framework for the safe integration of micro-mobility into the transport system: Comparing bicycles and e-scooters in field trials
Marco Dozza, Alessio Violin, Alexander Rasch
Traffic Injury Prevention
|
July 28, 2022
On the evaluation of visual nudges to promote safe cycling: Can we encourage lower speeds at intersections?
Jordanka Kovaceva, Pontus Wallgren, Marco Dozza
Accident; Analysis and Prevention
|
September 23, 2016
Drivers anticipate lead-vehicle conflicts during automated longitudinal control: Sensory cues capture driver attention and promote appropriate and timely responses
Alberto Morando, Trent Victor, Marco Dozza
Page
of 4
Search research articles
Search
Showing results (1-10 of 40) with videos related to
Sort By:
Page
of 4
Accident; Analysis and Prevention
|
May 17, 2016
Crash risk: How cycling flow can help explain crash data
Marco Dozza
Accident; Analysis and Prevention
|
July 4, 2012
What factors influence drivers' response time for evasive maneuvers in real traffic?
Marco Dozza
Journal of Safety Research
|
May 3, 2015
Driving context influences drivers' decision to engage in visual-manual phone tasks: Evidence from a naturalistic driving study
Emma Tivesten, Marco Dozza
Accident; Analysis and Prevention
|
March 16, 2013
Recognising safety critical events: can automatic video processing improve naturalistic data analyses?
Marco Dozza, Nieves Pañeda González
Accident; Analysis and Prevention
|
November 13, 2024
Understanding factors influencing e-scooterist crash risk: A naturalistic study of rental e-scooters in an urban area
Rahul Rajendra Pai, Marco Dozza
Journal of Safety Research
|
September 10, 2025
Is e-cycling safer than e-scootering? Comparing injury risk across Europe when vehicle-type, location, exposure, usage, and ownership are controlled
Rahul Rajendra Pai, Marco Dozza
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
|
May 19, 2022
A data-driven framework for the safe integration of micro-mobility into the transport system: Comparing bicycles and e-scooters in field trials
Marco Dozza, Alessio Violin, Alexander Rasch
Traffic Injury Prevention
|
July 28, 2022
On the evaluation of visual nudges to promote safe cycling: Can we encourage lower speeds at intersections?
Jordanka Kovaceva, Pontus Wallgren, Marco Dozza
Accident; Analysis and Prevention
|
September 23, 2016
Drivers anticipate lead-vehicle conflicts during automated longitudinal control: Sensory cues capture driver attention and promote appropriate and timely responses
Alberto Morando, Trent Victor, Marco Dozza
Page
of 4