11 citations · 30 across the 9 of their papers we have counts for
5 papers · 1 filter
Continuous Experimentation and Human Factors An Exploratory Study
Amna Pir Muhammad, Eric Knauss, Jonas Bärgman +1
In todays rapidly evolving technological landscape, the success of tools and systems relies heavily on their ability to meet the needs and expectations of users. User-centered desi…
Modeling Lead-vehicle Kinematics For Rear-end Crash Scenario Generation
Jian Wu, Carol Flannagan, Ulrich Sander +1
The use of virtual safety assessment as the primary method for evaluating vehicle safety technologies has emphasized the importance of crash scenario generation. One of the most co…
Methodological challenges of scenario generation validation: a rear-end crash-causation model for virtual safety assessment
Jonas Bärgman, Malin Svärd, Simon Lundell +1
Safety assessment of crash and conflict avoidance systems is important for both the automotive industry and other stakeholders. One type of system that needs such an assessment is…
Exploring Turn Signal Usage Patterns in Lane Changes: A Bayesian Hierarchical Modelling Analysis of Realistic Driving Data
Sarang Jokhio, Pierluigi Olleja, Jonas Bärgman +2
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 indicat…
Critical Zones for Comfortable Collision Avoidance with a Leading Vehicle
Jordanka Kovaceva, Nikolce Murgovski, Balázs Kulcsár +2
This paper provides a general framework for efficiently obtaining the appropriate intervention time for collision avoidance systems to just avoid a rear-end crash. The proposed fra…