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

  • Bronx benefits from mesoscopic-microscopic modelling
    January 7, 2014
    Michael Marsico, Andrew Weeks, Keir Opie and Murat Ayçin explain the application of hybrid traffic simulation to a planning study in New York City. Traffic modelling, particularly mesoscopic-microscopic hybrid simulation, has played a key role in planning for the future of one of America's shortest interstates, the 1.3-mile Sheridan Expressway. New York City has just completed a two-year, interagency study federally funded by a TIGER II grant on how to improve the Sheridan Expressway and its surroundi
  • Vaisala's RoadAI can optimise maintenance
    August 20, 2019
    Alerts for natural disasters are ones that most of us would rather do without, writes Adam Hill. But the ITS industry still needs help to deal with more common meteorological issues Google Maps has added SOS alerts to its service. For those of us more used to using the phone app to navigate from a metro station to an unfamiliar restaurant, this may seem extreme. But this is not what Google has in mind. Its SOS messages are for “hurricane forecast cones, earthquake shake-maps and flood forecasts”. That
  • ITS green light for two wheels
    January 19, 2023
    Cycling is increasingly promoted as a healthy and sustainable mode of transport. So, ask Ronald Jorna and Robin Kleine of Mobycon, what role should ITS play in stimulating active travel?
  • Texas moves to prevent wrong-way drivers
    May 30, 2014
    A study has shown the extent and ramifications of wrong way driving and proposed cost-effective countermeasures. Wrong way driving collisions occur relatively infrequently but the results can be devastating. Statistics from the US National Transportation Safety Board, an independent, federal all-modes agency, reveal that wrong way (WW) driving, account for only about 3% of accidents on high-speed divided highways but are much more likely to result in fatal and serious injuries.