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

  • June 6, 2014
    Monitoring during construction reveals benefits of new expressway
    David Crawford reports on how the authorities in New Zealand are using Bluetooth technology to monitor the effects of a new expressway as it is being constructed. New Zealand Highway Agency (NZHA) is using Bluetooth-based vehicle detection to assess the impact of its biggest road building project as the various sections are completed. The large-scale deployment of a Bluetooth-based vehicle detection system is making substantial contributions to traffic data needs in progressing the new Waikato Expressway, a
    Read More
  • April 10, 2014
    Cellint measures speed and travel time without roadside infrastructure
    Collecting speed and travel time data without using roadside infrastructure could offer new possibilities to cash-strapped road authorities. Streaming video may be useful for traffic controllers to monitor incidents and automatic number plate recognition may be required for enforcement, but neither are necessary for many ITS functions. For instance travel times, tailbacks, percentage of vehicles turning, origin and destination analysis can all be done using Bluetooth and/or WI-Fi sensors and without video o
    Read More
  • July 1, 2016
    UK road safety’ is stagnating’ – IAM and RoSPA call for new strategy
    Independent road safety charity IAM RoadSmart and safety charity the Royal Society for the Prevention of Accidents (RoSPA) have called for government action following the release of the Department for Transport’s (DfT) reported road casualties in Great Britain 2015. The 2015 figures show there were 1,732 reported road deaths – two per cent fewer compared with 2014. According to the DfT, this is the second lowest annual total on record after 2013. The number of people seriously injured in reported road tr
    Read More
  • September 20, 2017
    New software could detect when people text and drive
    Engineering researchers at Canada’s University of Waterloo are developing technology which can accurately determine when drivers are texting or engaged in other distracting activities. The system uses cameras and artificial intelligence (AI) to detect hand movements that deviate from normal driving behaviour and grades or classifies them in terms of possible safety threats.
    Read More

Highlighted Content