The paper deals with train traffic operation in degraded conditions due to failure events of transportation systems components. An optimization algorithm, implemented in a computer procedure, able to minimize delays in case of scheduled constant train headways is first illustrated. The procedure can be applied for simulating and optimizing railway traffic two-way operation along the failed sections of a line and for taking into account, optionally, the presence of interconnections with other lines. Results of a case study involving a high-speed railway line are finally summarized.

Lamedica, R., Geri, A., Gatta, F., Maccioni, M., Lauria, S., Prudenzi, A., et al. (2016). An optimization procedure to evaluate the service performances in high-speed railway lines under fault conditions. INTERNATIONAL REVIEW ON MODELLING AND SIMULATIONS, 9(4), 288-294 [10.15866/iremos.v9i4.9924].

An optimization procedure to evaluate the service performances in high-speed railway lines under fault conditions

REGOLI, MASSIMO;
2016-01-01

Abstract

The paper deals with train traffic operation in degraded conditions due to failure events of transportation systems components. An optimization algorithm, implemented in a computer procedure, able to minimize delays in case of scheduled constant train headways is first illustrated. The procedure can be applied for simulating and optimizing railway traffic two-way operation along the failed sections of a line and for taking into account, optionally, the presence of interconnections with other lines. Results of a case study involving a high-speed railway line are finally summarized.
2016
Pubblicato
Rilevanza internazionale
Articolo
Comitato scientifico
Settore ING-IND/33 - SISTEMI ELETTRICI PER L'ENERGIA
English
Senza Impact Factor ISI
Train Traffic;Failure;Simulation;
Lamedica, R., Geri, A., Gatta, F., Maccioni, M., Lauria, S., Prudenzi, A., et al. (2016). An optimization procedure to evaluate the service performances in high-speed railway lines under fault conditions. INTERNATIONAL REVIEW ON MODELLING AND SIMULATIONS, 9(4), 288-294 [10.15866/iremos.v9i4.9924].
Lamedica, R; Geri, A; Gatta, F; Maccioni, M; Lauria, S; Prudenzi, A; Regoli, M; Ruvio, A
Articolo su rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/178544
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