In this paper, we propose an off-line procedure for determining the optimal operational strategy in the case of rail and/or metro system failure. The procedure is based on a micro-simulation approach for estimating effects of each feasible intervention strategy on travel demand. Numerical results in the case of a real-size metro network show that optimal solutions could differ according to travel demand levels and/or breakdown severities.

The definition of a model framework for managing rail systems in the case of breakdowns / D'Acierno, Luca. - (2013). (Intervento presentato al convegno 16th International IEEE Annual Conference on Intelligent Transportation Systems tenutosi a The Hague, The Netherlands nel October 2013).

The definition of a model framework for managing rail systems in the case of breakdowns

D'ACIERNO, LUCA
2013

Abstract

In this paper, we propose an off-line procedure for determining the optimal operational strategy in the case of rail and/or metro system failure. The procedure is based on a micro-simulation approach for estimating effects of each feasible intervention strategy on travel demand. Numerical results in the case of a real-size metro network show that optimal solutions could differ according to travel demand levels and/or breakdown severities.
2013
The definition of a model framework for managing rail systems in the case of breakdowns / D'Acierno, Luca. - (2013). (Intervento presentato al convegno 16th International IEEE Annual Conference on Intelligent Transportation Systems tenutosi a The Hague, The Netherlands nel October 2013).
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/562856
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact