The aim of this working group is to apply to railway systems recently developed algorithms coming from the context of computer science. Looking back on historical development computer science took many concepts from railway systems (e.g. token, semaphore). Now it seems to be the right time to make use of new algorithms for optimization of railway systems. In particular, Kronecker Algebra is a promising algorithm to prevent deadlocks and enhance dispatching strategies for real time operation. Clearly, the working group Algo4Rail profits from existing knowledge about requirements from the daily operation. Benefits of this approach cover efficient train runs, on-time operation, and energy awareness.

Topics to be investigated

• Optimisation of train runs / Automatisation of Dispatching

  • Formalisation of strategies for dispatching

  • Solving conflicts (headway, sorting in/out, deadlocks)

  • Energy-efficient operation in railway systems (single and multiple train optimisation)

  • Solving shunting problems

• Design of railway infrastructure (extensions and redesign)

  • Availability analysis for infrastructure assets

  • Demand oriented design of networks

• Design of MMI

  • Working in the fall-back level

  • Design of interlocking MMI

Scientific Staff from Vienna University of Technology:

• Andreas SCHÖBEL („venia docendi“ for Railway Operation)

• Johann BLIEBERGER („venia docendi“ for Computer Engineering)

• Günther RAIDL („venia docendi“ for Practical Computer Science)

• Peter PURGATHOFER (“venia docendi” for Interactive Systems)

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