A data-driven approach for quantifying the resilience of railway networks

Author:

Knoester Max J.ORCID,Bešinović Nikola,Afghari Amir Pooyan,Goverde Rob M.P.ORCID,van Egmond Jochen

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Civil and Structural Engineering,Business, Management and Accounting (miscellaneous),Aerospace Engineering

Reference55 articles.

1. ACM. (2019, March 22). ACM Rail Monitor: the Netherlands has Europe’s busiest railway network. https://www.acm.nl/en/publications/acm-rail-monitor-netherlands-has-europes-busiest-railway-network.

2. A model to quantify the resilience of mass railway transportation systems;Adjetey-Bahun;Reliab. Eng. Syst. Saf.,2016

3. Increasing the resilience level of a vulnerable rail network: The strategy of location and allocation of emergency relief trains;Bababeik;Transp. Res. Part E: Logist. Transp. Rev.,2018

4. Resilience in railway transport systems: a literature review and research agenda;Bešinović;Transp. Rev.,2020

5. A Matheuristic for the Integrated Disruption Management of Traffic, Passengers and Stations in Urban Railway Lines;Bešinović;IEEE Trans. Intell. Transp. Syst.,2021

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