Skip to main content

Motorbike safety can be measured objectively, says AIT

The Austrian Institute of Technology (AIT) and TU Wien (Vienna University of Technology) has developed a motorcycle probe vehicle to better understand the causes of motorbike accidents. The vehicle was deployed as a measurement method to evaluate popular motorcycle routes in Austria’s capital. Peter Saleh, road safety expert at the AIT Center for Mobility Systems, says: “Our aim is to give those who operate roads the precise information they need in order to reduce the danger in these areas efficiently,
August 30, 2018 Read time: 2 mins
The 6625 Austrian Institute of Technology (AIT) and TU Wien (Vienna University of Technology) has developed a motorcycle probe vehicle to better understand the causes of motorbike accidents. The vehicle was deployed as a measurement method to evaluate popular motorcycle routes in Austria’s capital.


Peter Saleh, road safety expert at the AIT Center for Mobility Systems, says: “Our aim is to give those who operate roads the precise information they need in order to reduce the danger in these areas efficiently, sustainably and cost-effectively.”

The motorbike, a KTM 1290 Super Adventure, was equipped with high precision sensors and video systems. The side cases were packed with recording technology which documented the condition of the bike.

Test drives gathered data on vehicle dynamics, trajectory and routing. This was augmented with weather, traffic volume and route environment and then analysed through machine learning to reveal road sections which pose a risk for motorcyclists.

According to Saleh, every road section which was classed as dangerous - after being driven along and analysed - had been the site of serious accidents in the past.

“The AIT/TU Wien research team is therefore in a position to anticipate future accident trends and can assess motorcycle safety on a scientific basis, even before anything has happened,” Saleh adds.

For more information on companies in this article

Related Content

  • Aimsun helps use community intelligence to improve mobility
    July 23, 2024
    A paradigm shift from traditional to data-driven community-aware transport solutions has guided development of cooperative transport management strategies in the FRONTIER research project
  • New Hampshire plans for tomorrow’s communication
    August 21, 2017
    Someone once likened predicting the future to ‘nailing a jelly to the wall’. With ITS, C-ITS and V2X technology progressing at such a pace, predicting the future is more akin to trying to nail three jellies to the wall – but only having one nail. And yet with roadways having a lifetime measured in decades, that is exactly what highway engineers and traffic planners are expected to do. Fortunately, New Hampshire DoT (NHDoT) believes its technological advances may be able to provide a solution. The Central Ne
  • Detection analysis technology successfully predicts traffic flows
    February 3, 2012
    David Crawford investigates new detection analysis technology from IBM. Locations on both the East and West Coasts of the US are scheduled for early deployments of IBM's new Traffic Prediction Tool (TPT) statistical analysis model for the fine-time resolution and near-term prediction of road flow conditions. Developed by IBM's Watson Research Laboratories, TPT is designed to analyse data from the the key detection indicators - average vehicle volumes and speeds passing a location in a given time interval -
  • Schneider Electric aids New Hampshire DOT winter weather forecasts
    August 20, 2014
    Schneider Electric partnered with the New Hampshire Department of Transportation (NHDOT) during the 2013-2014 winter season as part of the Certified Public Manager (CPM) Program. The five-month partnership revealed precipitation forecasts from Schneider Electric to be more accurate in start and end times than a second weather/pavement forecasting service utilised by NHDOT. Schneider Electric created and customised a system to provide NHDOT with the most accurate precipitation forecasts, which are key to