Autonomous driving on freely accessible railway tracks

Burkhard Stadlmann, Thomas Penkner, Stefan Grünberger, Stefan Dumberger, Johann Weichselbaum, Thomas Kadiofsky, Wolfgang Pointner

Research output: Chapter in Book/Report/Conference proceedingsConference contribution

Abstract

Autonomous vehicles are a rapidly emerging technology that will radically transform the face of public and personal transportation in the near future. The project autoBAHN2020 aims to promote this trend on local railway tracks to make them more attractive for passengers again. Trains, by concept, come with major shortcomings such as lack of privacy and inflexibility due to long cycle times and continuous stops. This problem could partly be overcome by splitting them up into multiple smaller trainlets while significantly reducing the cycle time and the number of passengers per trainlet. However, a train driver for each small trainlet would not be economically feasible, therefore a fully autonomous operation is required. Since many railway tracks are freely accessible, a sensor system for reliable obstacle detection is required. This technical paper will present the current state of the project autoBAHN2020 and its actual topics of research.
Original languageEnglish
Title of host publicationProceedings of Transport Research Arena Wien 2018
DOIs
Publication statusPublished - 2018
Event7th Transport Research Arena - Vienna, Austria
Duration: 16 Apr 201819 Apr 2018

Conference

Conference7th Transport Research Arena
CountryAustria
CityVienna
Period16.04.201819.04.2018

Keywords

  • autonomous train
  • ATO
  • driverless train
  • railway
  • sensor fusion
  • obstacle detection
  • simulation

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