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   Driving advice systems in freight operation  evaluated  
Driving advice systems are on-board tools giving recommendations to drivers for a more energy efficient driving style. In freight operation the situation and challenges are different from those encountered in passenger operation.
Technology field: Energy efficient driving
open main section General information
open main section General criteria
close main section Environmental criteria
  close sub-section Impacts on energy efficiency:
  Energy efficiency potential for single vehicle: 2 - 5%
  Energy efficiency potential throughout fleet: 1 - 2%
   

The saving potential to be achieved by driving advice systems in freight operation cannot be given in a general fashion due to the strong dependence on the following factors:

  • Traffic density and degree of demixing of the network
  • Type of freight operation (transporting mixed goods with frequent stops vs. trains with homogeneous mass goods on A-to-B relations with no intermediate stops)
  • Integration of control centre level to take into account traffic situation

For most European railways the saving potential of current driving advice systems is expected to be well below 5%. This could change dramatically as soon as an integration of the control centre level is achieved.

In principle, coasting and other energy efficient driving strategies are very promising for freight trains, since the potential for regenerative braking in freight operation is very limited.

  Other environmental impacts: neutral
    (no details available)
open main section Economic criteria
no data available Application outside railway sector (this technology is railway specific)
close main section Overall rating
  close sub-section Overall potential: promising
  Time horizon: long-term
    Compared to passenger trains, freight operation poses additional barriers on driving advice systems. Whereas technological challenges due to variable train mass seem resolvable in the near future, the principal limitations posed by mixed infrastructures and high traffic density will only be solved in mid or long term. For current solutions the energy efficiency potential is rather limited. However, the theoretical potential is high and calls for long term efforts aiming at the integration of traffic situation into DAS algorithms. In general, DAS for freight operation will follow the developments in passenger operation.
References / Links:  Linder 2000
Attachments:
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Contact persons:
 date created: 2002-10-09
 
 
© UIC - International Union of Railways 2003
 
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