As is well known, capacity evaluation and the identification of bottlenecks on rail networks are complex issues depending upon several technical elements. This is even more perceptible in metropolitan areas where different services (freight, long distance, metro/regional, etc.) are operated using the same limited infrastructures; as a consequence, these facilities may represent bottlenecks of the rail system since they are often highly utilized and congested. This paper tries to explore the issue of capacity evaluation of complex rail networks, proposing synthetic indicators and analyses for feasibility studies or strategic planning. The presented methodology suggests taking into account the main differences in infrastructure characteristics (e.g. single or double lines, signalling systems, terminus or passing stations, etc.) and rail services (e.g. diverse rolling stock, various frequencies, average distances and number of stops, etc.) in order to propose a general approach applicable for capacity analysis of a network as a whole, hence evaluating the utilization rate and the congestion on both lines and stations. To better explore and validate the methodology, an application to a line of the Naples’ suburban network is presented. The results confirm the applicability and effectiveness of the proposed approach; the outcomes indicate the capacity utilization rate of the considered facilities, pointing out likely bottlenecks and possible actions to improve the system efficiency.

Capacity analysis of suburban rail networks / Rotoli, Francesco; Malavasi, Gabriele; Ricci, Stefano; Navajas, E. C.; Ibáñez, J. N.. - ELETTRONICO. - 162:(2016), pp. 111-122. (Intervento presentato al convegno 15th International Conference on Railway Engineering, Design and Operation (COMPRAIL/16) tenutosi a Madrid) [10.2495/CR160111].

Capacity analysis of suburban rail networks

ROTOLI, Francesco;MALAVASI, Gabriele;RICCI, Stefano;
2016

Abstract

As is well known, capacity evaluation and the identification of bottlenecks on rail networks are complex issues depending upon several technical elements. This is even more perceptible in metropolitan areas where different services (freight, long distance, metro/regional, etc.) are operated using the same limited infrastructures; as a consequence, these facilities may represent bottlenecks of the rail system since they are often highly utilized and congested. This paper tries to explore the issue of capacity evaluation of complex rail networks, proposing synthetic indicators and analyses for feasibility studies or strategic planning. The presented methodology suggests taking into account the main differences in infrastructure characteristics (e.g. single or double lines, signalling systems, terminus or passing stations, etc.) and rail services (e.g. diverse rolling stock, various frequencies, average distances and number of stops, etc.) in order to propose a general approach applicable for capacity analysis of a network as a whole, hence evaluating the utilization rate and the congestion on both lines and stations. To better explore and validate the methodology, an application to a line of the Naples’ suburban network is presented. The results confirm the applicability and effectiveness of the proposed approach; the outcomes indicate the capacity utilization rate of the considered facilities, pointing out likely bottlenecks and possible actions to improve the system efficiency.
2016
15th International Conference on Railway Engineering, Design and Operation (COMPRAIL/16)
trasporti; ferrovia; circolazione
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Capacity analysis of suburban rail networks / Rotoli, Francesco; Malavasi, Gabriele; Ricci, Stefano; Navajas, E. C.; Ibáñez, J. N.. - ELETTRONICO. - 162:(2016), pp. 111-122. (Intervento presentato al convegno 15th International Conference on Railway Engineering, Design and Operation (COMPRAIL/16) tenutosi a Madrid) [10.2495/CR160111].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/967747
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