Energy-efficient timetable optimization for the Nuremberg subway
The project on energy-efficient timetabling for the Nuremberg U-Bahn aimed to minimize traction energy consumption and reduce electricity costs using innovative optimization algorithms.
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Involved researchers
- Tobias Kuen
- Andreas Bärmann
- Patrick Gemander
- Alexander Martin
Partners from industry / Research lab
- VAG Verkehrs-Aktiengesellschaft
- Fraunhofer Institute for Integrated Circuits
- FAU Erlangen-Nürnberg
- Analytics and Optimization Lab UTN
Problems description
The project on energy-efficient timetabling for the Nuremberg U-Bahn aimed to minimize traction energy consumption and reduce electricity costs. During the collaboration between our experts, Fraunhofer Institute for Integrated Circuits IIS, and VAG Verkehrs-Aktiengesellschaft innovative optimization algorithms were developed and transferred to the regular operation of timetabling at VAG. The software considers energy-efficient driving and intelligent coordination to increase the regenerative braking ratio. The optimized timetable creation aims to reduce peak power demands, lower overall power consumption, and maximize the utilization of braking energy.
Goals
The project on energy-efficient timetabling for the Nuremberg U-Bahn aimed to minimize traction energy consumption and reduce electricity costs using innovative optimization algorithms.
Methods
Data Analytics, Discrete Optimization
Outcome
The software was transferred to the regular operation of timetabling at VAG, which reduces electricity consumption of the Nuremberg subway system.
