Applications,value and barriers of common data frameworks in the rail industry of Great Britain

Abstract

In the rail industry, the exchange of data across system and organisational boundaries is an essential step in the delivery of advances such as intelligent infrastructure, end-to-end ticketing, improved passenger information, real-time capacity management and greater interoperability between stakeholders. The industry, however, faces a serious challenge in the form of siloed, legacy ICT systems based around different technologies and data formats. One solution to this problem can be found in the implementation of open data interfaces that use a conceptual representation of the railway network to facilitate the exchange of information while preserving its underlying meaning. The work reported in this paper used two engagement exercises involving industry stakeholders to, first, generate a set of applications for wider information sharing in the rail industry of Great Britain; second, compile a list of the benefits of such an approach to the rail industry; and, third, identify the most significant barriers to implementation. The paper should therefore be valuable for anyone in industry or in academia working on projects that depend on the exchange of data between systems and stakeholders to support rail operations and strategy.

Keywords

Interoperability data frameworks business case data management

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References

European Commission. Roadmap to a single European transport area—towards a competitive and resource-efficient transport system, White paper on transport, Luxembourg: Publications Office of the European Union, 2011.

Fahrni L, Rydin Y, Tunesi S and Maslin M. Travel related carbon footprint: a case study using the UCL Environment Institute. http://www.ucl.ac.uk/environment-institute/research/carbon (2009, accessed 26 July 2013).

Dadashi N, Wilson JR, Sharples S, et al. First model of human factors in intelligent infrastructure systems. In: Contemporary Ergonomics 2011, Taylor and Francis, London, 2011, pp.147–154.

Ward

Weston

Stewart

EJC

. Condition monitoring opportunities using vehicle-based sensors. Proc IMechE, Part F: J Rail Rapid Transit 2011; 225(2): 202–218.

Jespersen-Groth

Potthoff

Clausen

Disruption management in passenger railway transportation. In: Ahuja

Moehring

Zaroliagis

(eds). Robust Online Large-Scale Optim, Berlin: Springer, 2009, pp. 399–421.

Kauppi

Wikström

Sandblad

Andersson

. Future train traffic control: control by re-planning. Cognit Technol Work 2006; 8(1): 50–56.

Lyons

. The role of information in decision-making with regard to travel. IEE Proc, Intell Transp Syst 2006; 153(3): 199–212.

Department for Transport/Office of Rail Regulation. Realising the potential of GB rail: final independent report of the rail value for money study. http://assets.dft.gov.uk/publications/report-of-the-rail-vfm-study/realising-the-potential-of-gb-rail.pdf (2011, accessed 26 July 2013).

Easton

Davies

Roberts

. Ontology engineering the “what’s”, “why’s”, and “how’s” of data exchange. Int J Decis Supp Syst Technol 2011; 3(1): 40–53.

10.

Steenhuisen

Dicke

De Bruijn

. “Soft” public values in jeopardy: reflecting on the institutionally fragmented situation in utility sectors. Int J Pub Admin 2009; 32(6): 491–507.

11.

De Fabris

Longo

Medeossi

Automated analysis of train event recorder data to improve micro-simulation models. In: Allan

Arias

Brebbia

(eds). Computers in Railways XI, Southampton: WIT Press, 2008, pp. 575–583.

12.

Gerlach K and Meyer zu Horste M. A precise digital map for GALILEO-based train positioning systems. In: The ninth international conference on intelligent transport systems telecommunications, 2009, pp.343–347. Piscataway, NJ: IEEE Press.

13.

Pinto

Martins

. Ontologies: how can they be built? Knowl Inf Syst 2004; 6(4): 441–464.

14.

Shadbolt

Eliciting expertise. In: Wilson

Corlett

(eds). Evaluation of human work, Third ed. Aldershot, UK: Taylor & Francis, 2005, pp. 185–218.

15.

Sheikh

Cornford

Barber

. Implementation and adoption of nationwide electronic health records in secondary care in England: final qualitative results from prospective national evaluation in “early adopter” hospitals. Brit Med J 2011; 343: 6054–6068.

16.

Nash

Huerlimann

Schuette

Krauss

RailML – a standard data interface for railroad applications. In: Allan

Hill

Brebbia

(eds). Computers in railways IX, Southampton, UK: WIT Press, 2004, pp. 233–240.

17.

Umiliacchi P, Shingler R, Langer G and Henning U. A new approach to optimisation through intelligent integration of railway systems: the inteGRail project. In: The seventh world congress on railway research, Montreal, Canada, 2007.

18.

Grűninger M and Fox M. Methodology for the design and evaluation of ontologies. In: The workshop on basic ontological issues in knowledge sharing, 1995.

19.

Fernández M, Gómez-Pérez A and Juristo N. METHONTOLOGY: From ontological art towards ontological engineering. In: The AAAI workshop on ontological engineering, 1997, pp.33–40.

20.

Pinto HS, Staab S & Tempich C. DILIGENT: Towards a fine-grained methodology for distributed, loosely-controlled and evolving engineering of onyologies. In: R. De Mantaras and L Saitta (eds) The 16th European conference on artificial intelligence, 2004, pp.393–397. IOS Press.

21.

Maedche A and Staab S. Discovering conceptual relations from text. In: W Horn (ed.) The 14th European conference on artificial intelligence, 2000, pp.321–325.

22.

McDermott R. How information technology inspired, but cannot deliver knowledge management. Calif Mgmnt Rev 1999; 41(4): 103–117.

23.

Currie

Kerrin

. The limits of a technological fix to knowledge management - epistemological, political and cultural issues in the case of intranet implementation. Mgmnt Learn 2004; 35(1): 9–29.

24.

Department for Transport. Delivering a sustainable railway – summary. https://www.gov.uk/government/publications/delivering-a-sustainable-railway-white-paper-cm-7176 (2007, accessed 26 July 2013).