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K Schwieger, P Saleh, A. Hula, H. Ecker, M. Neumann:
"viaMotorrad - Can motorcycle safety be measured?";
in: "Proceedings of the 12th International Motorcycle Conference 2018", issued by: Institut für Zweiradsicherheit e.V.; Institut für Zweiradsicherheit e.V., 2018, ISSN: 0175-2626, 15 pages.

In a joint effort, two leading Austrian academic institutions, with expertise in motorcycle dynamics and
single-track vehicle research, have developed and instrumented a highly developed motorcycle for testing
and measurement tasks related to traffic accident research and analysis. This motorcycle probe vehicle
(MoProVe) is based on a high-end street bike sponsored by KTM, which represents the state-ofthe-
art in current motorcycle technology. Within the viaMotorrad project, the vehicle was upgraded
with two independent high-performance measurement systems, by the Technical University of Vienna
and the AIT Austrian Institute of Technology. Apart from GPS, HD-Video and IMU-data, CAN-bus
data can be directly collected from the motorcycle.
The project viaMotorrad, funded by the Austrian Road Safety Fund (VSF), aims for a semi-automated
risk assessment of roads, performed by a probe vehicle. In this project, the vehicle is a one-of-a-kind
motorcycle that can collect all relevant driving dynamics data needed for comprehensive road safety
investigations. Road sections which are considered high-risk for motorcycles should be detected by the
data. The goal is to act and plan measures before accidents occur, in order to decrease the number of
fatalities in riders. Based on the results of this project, future research should include the development
of a motorcycle-specific Hazard Map of the road network. With the collected data, not only traffic safety
investigators could improve their activities, but also road operators and bikers themselves.
First results show that data collected with the MoProVe can provide insights into linking riding dynamic
data to infrastructure data of the road network. The analysis started with the transformation of the collected
time-based data to the needed path-based data. Current work includes the investigation of data
thresholds, in order to establish the difference between considered risky and normal road segments. The
final goal is to implement preventative measures to reduce motorcycle accidents.

motorcycle probe vehicle; MoProVe; traffic accident research; accident investigation and analysis; black spot research; traffic safety

https://publik.tuwien.ac.at/files/publik_278022.pdf