Skip to main content

Austrian institute launches automated ticketing and mobility surveys by smartphone

The Austrian Institute of Technology (AIT) has developed a software solution, Travel Mode Identification (TMI), which it says automatically identifies the travel modes of people carrying a smartphone, making it suitable for applications such as mobility surveys and automated ticketing. The technology allows the collection of data and can be integrated into existing smartphone apps. It automatically classifies eight different travel modes, walking, cycling, riding a motorcycle, car, bus, tram or train; no us
May 5, 2017 Read time: 1 min
The 6625 Austrian Institute of Technology (AIT) has developed a software solution, Travel Mode Identification (TMI), which it says automatically identifies the travel modes of people carrying a smartphone, making it suitable for applications such as mobility surveys and automated ticketing.


The technology allows the collection of data and can be integrated into existing smartphone apps. It automatically classifies eight different travel modes, walking, cycling, riding a motorcycle, car, bus, tram or train; no user intervention is required.

For more information on companies in this article

Related Content

  • Real time GPS tracking on school buses drives efficiencies
    January 25, 2012
    Application of real time GPS tracking to school buses is driving operational efficiencies and allowing parents to follow their childern's movements, report Jason Barnes
  • BKK boosts MaaS in Hungary
    February 24, 2022
    Public transport operator's new BudapestGo app also covers transit outside capital
  • Will mobile apps kick-start mobility pricing?
    January 5, 2016
    Thomas Hallauer from Ptolemus believes trials of connected road charging services will show the pay per mile concept will go much further than previously thought. Drivers are progressively becoming directly connected to the transport infrastructure and while the methods are changing, the innovation is really in the models rather than the technology.
  • Survey - majority of people would be reluctant to be a passenger in a driverless car
    May 27, 2016
    According to a survey carried out by ICM Unlimited on behalf of the Institution of Mechanical Engineers, 55 per cent of the 2002 people surveyed said they were unlikely to want to be a passenger of a driverless car, with 40 per cent saying they were very unlikely to want to be a passenger. Just 21 per cent said they would be happy to ride in a driverless vehicle. Philippa Oldham, head of Transport and Manufacturing at the Institution of Mechanical Engineers, said: “The benefits of driverless vehicle tech