Allocation of Railway Rolling Stock for Passenger Trains

E. Abbink, B. van den Berg, L.G. Kroon, M. Salomon

Research output: Working paperDiscussion paperOther research output

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Abstract

For a commercially operating railway company, providing a high level of service for the passengers is of utmost importance.The latter requires a high punctuality of the trains and an adequate rolling stock capacity.Unfortunately, the latter is currently (2002) one of the bottlenecks in the service provision by the main Dutch railway operator NS Reizigers.Especially during the morning rush hours, many passengers cannot be transported according to the usual service standards due to a shortage of the rolling stock capacity.On the other hand, a more effective allocation of the available rolling stock capacity seems to be feasible, since there are also a few trains with some slack capacity.The effectiveness of the rolling stock capacity is determined mainly by the allocation of the train types and subtypes to the lines.Therefore, we describe in this paper a model that can be used to find an optimal allocation of train types and subtypes to train series.This optimal allocation is more effective than the manually planned one, which is accomplished by minimizing the shortages of capacity during the rush hours.The model is implemented in the modeling language OPL Studio 3.1, solved by CPLEX 7.0, and tested on several scenarios based on the 2001-2002 timetable of NS Reizigers.The results of the model were received positively, both by the planners and by the management in practice, since these results showed that a significant service improvement over the manually planned allocation can be achieved within a shorter throughput time of the involved part of the planning process.
Original languageEnglish
Place of PublicationTilburg
PublisherOperations research
Volume2002-43
Publication statusPublished - 2002

Publication series

NameCentER Discussion Paper
Volume2002-43

Fingerprint

Train
Railway
Shortage
Optimal allocation
Scenarios
Service provision
Level of service
Planning process
Throughput
Service improvement
Language modeling
Operator

Keywords

  • planning models
  • allocation
  • rail transport
  • The Netherlands

Cite this

Abbink, E., van den Berg, B., Kroon, L. G., & Salomon, M. (2002). Allocation of Railway Rolling Stock for Passenger Trains. (CentER Discussion Paper; Vol. 2002-43). Tilburg: Operations research.
Abbink, E. ; van den Berg, B. ; Kroon, L.G. ; Salomon, M. / Allocation of Railway Rolling Stock for Passenger Trains. Tilburg : Operations research, 2002. (CentER Discussion Paper).
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Abbink, E, van den Berg, B, Kroon, LG & Salomon, M 2002 'Allocation of Railway Rolling Stock for Passenger Trains' CentER Discussion Paper, vol. 2002-43, Operations research, Tilburg.

Allocation of Railway Rolling Stock for Passenger Trains. / Abbink, E.; van den Berg, B.; Kroon, L.G.; Salomon, M.

Tilburg : Operations research, 2002. (CentER Discussion Paper; Vol. 2002-43).

Research output: Working paperDiscussion paperOther research output

TY - UNPB

T1 - Allocation of Railway Rolling Stock for Passenger Trains

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AU - Salomon, M.

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N2 - For a commercially operating railway company, providing a high level of service for the passengers is of utmost importance.The latter requires a high punctuality of the trains and an adequate rolling stock capacity.Unfortunately, the latter is currently (2002) one of the bottlenecks in the service provision by the main Dutch railway operator NS Reizigers.Especially during the morning rush hours, many passengers cannot be transported according to the usual service standards due to a shortage of the rolling stock capacity.On the other hand, a more effective allocation of the available rolling stock capacity seems to be feasible, since there are also a few trains with some slack capacity.The effectiveness of the rolling stock capacity is determined mainly by the allocation of the train types and subtypes to the lines.Therefore, we describe in this paper a model that can be used to find an optimal allocation of train types and subtypes to train series.This optimal allocation is more effective than the manually planned one, which is accomplished by minimizing the shortages of capacity during the rush hours.The model is implemented in the modeling language OPL Studio 3.1, solved by CPLEX 7.0, and tested on several scenarios based on the 2001-2002 timetable of NS Reizigers.The results of the model were received positively, both by the planners and by the management in practice, since these results showed that a significant service improvement over the manually planned allocation can be achieved within a shorter throughput time of the involved part of the planning process.

AB - For a commercially operating railway company, providing a high level of service for the passengers is of utmost importance.The latter requires a high punctuality of the trains and an adequate rolling stock capacity.Unfortunately, the latter is currently (2002) one of the bottlenecks in the service provision by the main Dutch railway operator NS Reizigers.Especially during the morning rush hours, many passengers cannot be transported according to the usual service standards due to a shortage of the rolling stock capacity.On the other hand, a more effective allocation of the available rolling stock capacity seems to be feasible, since there are also a few trains with some slack capacity.The effectiveness of the rolling stock capacity is determined mainly by the allocation of the train types and subtypes to the lines.Therefore, we describe in this paper a model that can be used to find an optimal allocation of train types and subtypes to train series.This optimal allocation is more effective than the manually planned one, which is accomplished by minimizing the shortages of capacity during the rush hours.The model is implemented in the modeling language OPL Studio 3.1, solved by CPLEX 7.0, and tested on several scenarios based on the 2001-2002 timetable of NS Reizigers.The results of the model were received positively, both by the planners and by the management in practice, since these results showed that a significant service improvement over the manually planned allocation can be achieved within a shorter throughput time of the involved part of the planning process.

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Abbink E, van den Berg B, Kroon LG, Salomon M. Allocation of Railway Rolling Stock for Passenger Trains. Tilburg: Operations research. 2002. (CentER Discussion Paper).