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Siemens developed new algorithm for automatic high-speed train operation

Siemens developed new algorithm for automatic high-speed train operation

On September 29, within the “Internet of Things” exhibition and conference, there was a report of the representative of Siemens LLC Sergey Sobolev. The speaker told about the advantages of application of IoT technologies in high-speed intercity and suburban trains.

High-speed electric trains Sapsan and Lastochka were developed by Siemens to the order of JSC Russian Railways.

Specifications of the electric trains:

1. Intercity electric train Sapsan:

  • speed – 200-250 km/h;
  • weight – 700-1400 t;
  • distance for full service brake application (250->0) – 3 km.

2. Suburban electric train Lastochka:

  • speed – 160 km/h;
  • weight – 270 t;
  • distance for full service brake application (1600->0) – 800 m.

Siemens developed new algorithm for automatic high-speed train operation

Internet of Trains – new algorithm for automatic train operation from Siemens

With the development of technologies, IoT company Siemens has worked out a modification of automatic train operation of the next generation, which has a function of energy-efficient automated train driving.

In order to complete the task, developers should have observed a number of conditions:

  • to develop accurate train schedule;
  • to take into account speed limitations;
  • to provide passengers with maximum comfort;
  • to make the train energy-efficient.

Preliminary modeling data has shown that the use of Siemens metaheuristic algorithm will allow to reduce hauling energy consumption by up to 15%.

The representative of Siemens made arguments for the implementation of a new algorithm for automatic train operation:

  • energy efficiency – possibility to save up to 11 GWh for the Sapsan trains;
  • accuracy – model takes into account grading of track;
  • comfortableness – due to the reduction of brakeage frequency comfort of passengers increases;
  • high speed – 300 km of path is calculated almost instantaneously;
  • flexibility – possibility to take into account any conditions and limitations.

According to Siemens, comparing to autopilot system that are used in high-speed trains now, metaheuristic algorithms will help to save from 5 to 10% energy, as well as to provide passengers with maximum comfort and safety.

 

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