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.

UTC

Related Content

  • September 26, 2024
    Esri maps cause and effect
    The work of the Connecticut Transportation Safety Research Center means engineers can concentrate on developing more effective safety measures, rather than having to sort out raw crash data
  • July 28, 2016
    Ford, MIT project measures pedestrian traffic, predict demand for electric shuttles
    Ford Motor Company and the Massachusetts Institute of Technology are collaborating on a new research project that measures how pedestrians move in urban areas to improve certain public transportation services, such as ride-hailing and point-to-point shuttles services. The project will introduce a fleet of on-demand electric vehicle shuttles that operate on both city roads and campus walkways on the university’s campus. The vehicles use LiDAR sensors and cameras to measure pedestrian flow, which ultimate
  • March 2, 2012
    Need for standardisation of toll classes
    In a previous article Bob Lees of Idris Technology Ltd looked at the appropriateness of toll classes in relation to all-electronic toll fee collection. Here, he looks at how addressing classification standardisation could avoid downstream aggravation and cost
  • December 3, 2018
    Panasonic in Colorado: Rocky mountain way
    Panasonic is at the heart of a C-V2X project which began last year in Colorado. The company’s smart mobility boss Chris Armstrong tells Adam Hill how it is working out Colorado needs traffic and transport solutions – and fast. The US state’s population has grown 50% in the last 20 years and another 50% hike is predicted in the next 20. It also spends more than $13 billion in roadway crash costs each year. In 2015, 546 people died in traffic-related crashes, and more than 3,000 were seriously injured.