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Driveability analysis of the european rail transport management system (ERTMS): A systematic literature review
Swedish Rd & Transport Res Inst, VTI, Linkoping, Sweden.
Swedish Rd & Transport Res Inst, VTI, Linkoping, Sweden.
Swedish Rd & Transport Res Inst, VTI, Linkoping, Sweden.
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Arts and Sciences.ORCID iD: 0000-0001-5943-0679
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2021 (English)In: Journal of Rail Transport Planning & Management, ISSN 2210-9706, E-ISSN 2210-9714, Vol. 18, article id 100240Article, review/survey (Refereed) Published
Abstract [en]

Train drivers in Sweden had the opportunity to test the new European Rail Transport Management System (ERTMS) during the early implementation of this signaling system in 2011 and 2012. Unfortunately, they have reported many implementation problems. These ERTMS lines have been evaluated as more challenging to drive compared to the previous signaling system. A systematic literature review was conducted to understand what network planning designers typically focus on when analyzing railway driveability and how driveability can be assessed. In the overall picture the impact on driveability originates from both technological, organizational, and train driver aspects. One technological issue found during the investigation is related to the speed profile design. Frequent speed changes were identified as the primary source of negative experiences during driveability evaluations, especially on retrofitted lines. Results also indicate the need for a methodology that includes the driver earlier in the network planning test process, to avoid the costly and time-consuming analysis done after project implementation. The results highlight the importance of the speed profile design to provide good driveability. Cognitive Task Analysis, simulations, and statistical calculations to predict driver and train performance were identified as applicable methods to involve train drivers earlier in the driveability analysis process.

Place, publisher, year, edition, pages
Elsevier Science Ltd , 2021. Vol. 18, article id 100240
Keywords [en]
Driveability; Driving style; Network planning; ERTMS; ETCS
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:liu:diva-177861DOI: 10.1016/j.jrtpm.2021.100240ISI: 000658933800002OAI: oai:DiVA.org:liu-177861DiVA, id: diva2:1578362
Note

Funding Agencies|Virtual Vehicle Research GmbH; InfraSweden 2030Solutions

Available from: 2021-07-06 Created: 2021-07-06 Last updated: 2022-05-24

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Prytz, Erik
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CiteExportLink to record
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Citation style
  • apa
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  • Other locale
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