Innovation Center Prof. Dr. rer. nat. habil. Karl Nachtigall

Digital mathematical optimisation in transport and logistics

The Digital Mathematical Optimisation in Transport and Logistics Innovation Centre is dedicated to the mathematically model-based digital
optimisation of transport and logistics processes for various modes of transport (especially rail and air transport). The aim is to solve specific network problems in order to optimally adapt travel and timetables to existing conditions.

MANAGEMENT

Prof. Dr. rer. nat. habil. Karl Nachtigall

Dresden University of Technology
Faculty of Transport Sciences ‘Friedrich List’
Institute of Aviation and Logistics
Chair of Traffic Flow Theory
Potthoff Building, Room POT 103
Hettnerstraße 1
01069 Dresden

Telefon +49 351 463 36515
E-Mail karl.nachtigall@tu-dresden.de

Short vita

Career milestones:

  • Since 2000 Professor of Traffic Flow Theory at the Friedrich List Faculty of Transport Sciences at TU Dresden
  • 1999 Habilitation at the Department of Traffic Flow Theory at the University of Hildesheim (topic: Periodic Network Optimisation and Fixed Interval Timetables)
  • 1995–1999 Worked at the German Aerospace Centre
  • 1989 Doctorate in Mathematics at Gottfried Wilhelm Leibniz University Hannover (topic: Linear mappings between lattice spaces and their applications)
  • 1978–1985: Degree in Mathematics with Physics as a minor subject at Gottfried Wilhelm Leibniz University Hannover

Other functions:

  • Head of the specialisation ‘Systems Engineering’ in the Transport Engineering degree programme

 

Research and development

Application and further development of operations research methods for optimising transport and logistics processes

  • Algorithms for synchronised timetable creation
  • Customer-optimised route network planning
  • Strategic flight planning and ATFM (Air Traffic Flow Management)
  • Analysis of traffic data

Expertise

  • Transport sciences
  • Transport system theory
  • Modelling of transport systems
  • Optimisation of transport and logistics processes
  • Mathematics (numerical analysis)

Reference projects

  • Multimodal network planning (MNP) for the Leipzig transport network – design, comparison and evaluation of previous planning solutions with algorithmic solutions from MultiLop
  • Development of a tool for reconstructing existing passenger transport timetables
  • Feasibility analysis for the use of an optimisation model for automatic scheduling support
  • Further development of OpSysTra: annual timetables and mini-system routes
  • Further development of Lagrange relaxation for the 24-hour construction cycle model
  • Further development of optimisation methods in the production model Operation 1.9+
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