Julia Werneke

Detailed description of bicycle and passenger car collisions based on insurance claims

2016

Using naturalistic data to assess e-cyclist behavior

Timing of early warning stages in a multi stage collision warning system: Drivers' evaluation depending on situational influences

2015

Quantifying drivers’ comfort-zone and dread-zone boundaries in left turn across path/opposite direction (LTAP/OD) scenarios

Safety-critical events in everyday cycling - Interviews with bicyclists and video annotation of safety-critical events in a naturalistic cycling study

Integrating road safety data for single-bicycle crash causation

Introducing naturalistic cycling data: What factors influence bicyclists' safety in the real world?

Perfect Timing: Urgency, Not Driving Situations, Influence the Best Timing to Activate Warnings

How do environmental characteristics at intersections change in their relevance for drivers before entering an intersection: analysis of drivers’ gaze and driving behavior in a driving simulator study

Analysis of the role of inattention in road crashes based on naturalistic on-board safety monitoring data

ANNEXT - Slutrapport

e-BikeSAFE: A Naturalistic Cycling Study to Understand how Electrical Bicycles Change Cycling Behaviour and Influence Safety.

“Please, bike and tell me when you feel unsafe!” – Analysis of safety-critical situations from a cyclist’s perspective in a naturalistic cycling study

Using manual measurements on event recorder video and image processing algorithms to extract optical parameters.

BikeSAFE – Analysis of Safety-Critical Events from Naturalistic Cycling Data

2012

Piloting the Naturalistic Methodology on Bicycles

Attentional Capture Effekt oder zeitliche Vorbereitung – Was ist wirkungsvoller bei einer Warnung?