Pascal Brunner

Technische Hochschule Ingolstadt · Department of Electrical Engineering and Computer Science

Evaluating traffic safety using simulation is a huge challenge. The proportion of slower-than-average responses is particularly important, as these greatly influence the likelihood of accidents or injuries in dangerous circumstances. Developing accurate models that account for variations in individual response processes is fundamental for reliable...

Background: Driving in urban traffic requires ad-vanced cognitive skills: perceiving all relevant traffic participants,anticipating their likely trajectories, deciding which action totake, and controlling the vehicle. The underlying perceptual andcognitive processes are subject to occasional failures, which candepend in a complex way on learned heu...

Micromobility, and e-scooters in particular, are now present in large numbers in many cities, and projections predict strong demand growth in the post-pandemic period, but e-scooter riders have a high risk of accident/injury. We want to represent human behavior in simulations in a way that can be used to assess proposed infrastructure-based safety...

Safely traveling through urban traffic, for exampleperforming a right turn at an intersection, is a complextask for human drivers. Multiple stimuli such as leadingvehicles, cyclists or spontaneously crossing pedestrians competefor attention. Limited field of view and sampling capabilitiesof humans make a parsimonious and sometime error-proneselecti...

In order to investigate the interaction between automated vehicles (AVs) and bicyclists, we present a coupled driving simulator that enables these two traffic participants to interact in a virtual environment. To avoid potentially dangerous situations in road traffic, human perception can be extended by communication between vehicles and their envi...

In order to facilitate safe interactions between automated vehicles (AVs) and vulnerable road users (VRUs) such as bicyclists, we present a communication application for mobile devices that allows an AV or its passenger and a bicyclist to interact in certain traffic scenarios. At the intersection, the AV or its passenger can change the existing rig...

Micro-mobility modes such as e scooters are gaining increasing popularity, but e-scooter riders have high crash/injury risks. Virtual assessment of traffic safety measures, such as automated driving functions, requires valid models of all road users, including their interactions and responses to threats. This paper focuses on process models of thre...

In this research, we estimate the influence of different bicycle infrastructure on the severity of motorist-cyclist conflicts via an interconnected simulator study. Our focus is a specific conflict type: motorist is turning at an intersection and the cyclist is going straight, crossing the intersection based on previous evaluations from literature....

The introduction of micro-mobility, such as e-scooters, brings new challenges. Nevertheless, these trend devices are spreading rapidly without a comprehensive study of their interactions with other road users. For example, many countries currently require drivers of e-scooters to signal turns by hand. In this work, we investigate whether e-scoot...