Abstract
Today’s world sees data analytics more prevalent than ever before, mining and interpreting data through various trends. In Singapore, the Land Transport Authority’s (LTA) new role as asset owner for its railway operating assets has also given impetus towards establishing a sustainable digital ecosystem. Timely decisions are enabled based on accurate understanding of the asset condition from the network of data and analytic processes, to maintain safety and reliability of the Rapid Transit Systems (RTS) throughout its service life. In addition to expounding on the data analytics process, this paper also explores the potential benefits from the data discovery and the challenges in doing so. The crux is to provide a more robust, reliable and resilient public transport system through data analytics, as we strive towards a quantum leap in railway reliability for our commuters.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
MKBF is the metric used internationally to measure train reliability. 1 million MKBF refers to an average of 1 million train kilometres between delays for >5 min failures.
- 2.
Data visualisation tools are digital tools that allow the user to analyse data through the use of smart and even interactive visuals, not limited to charts and graphs. Tableau is an example of a visual analytics software.
References
4. Systems Engineering. Defense Acquisition Guidebook. Defence Acquisition University, (2013)
Forsberg, K., Mooz, H.: System engineering for faster, cheaper, better. Center of Systems Management (1998)
ISACA. Data Analytics – A Practical Approach, An ISACA White Paper (2011)
The Land Transport Authority (LTA) & SMRT. Circle Line Signalling Problems Caused By Intermittent Failure of Signalling Hardware on Train, A Joint Press Release (2016)
Tegos, M.: Data Scientists caught Singapore’s ‘rogue’ train. Here’s what else they can do, TECHINASIA (2016)
Fai, L.K.: Singapore to increasingly use technology, data analytics to combat transnational crime: DPM Teo, Channel NewsAsia (2017)
Tang, J.: Tableau to train Singapore government officers in data science, TechTrade Asia (2017)
Tham, I.: 10,000 public servants to receive data science training under GovTech-NUS tie-up, The Straits Times (2017)
SMRT Trains’ and SMRT Light Rail’s Transition to the New Rail Financing Framework: Top 7 Things You Need to Know, Factsheet, Land Transport Authority, (2016)
SMRT Trains and SMRT Light Rail To Transit To New Rail Financing Framework, News Releases, Land Transport Authority (2016)
Tan, C., Boon, K.: Wan sets new railway network reliability target as MRT becomes three times as dependable as in 2015, The Straits Times (2017)
Minelli, M., Chambers, M., et al.: Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends For Today’s Businesses (2013)
Joyce, H.P.F., Hin, O.S., et al.: A Systems Assurance Perspective Towards Generic Systems Engineering, INCOSE (2011)
Acknowledgements
The author would like to sincerely express his gratitude towards the Land Transport Authority (LTA), Singapore in particular, Ms Hong Pek Foong Joyce, Mr Wong Mun Yih and Mr Ho Kum Fatt for their guidance and mentorship in the production of this paper. Their knowledge, experience and discussions were instrumental in exploring the use of data analytics in systems engineering to identify problematic areas/areas worth investigating further in Singapore’s RTS as the Land Transport Authority (Singapore) work towards improving railway reliability.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Tsang, T., Hong, J., Wong, M.Y., Ho, K.F. (2019). Leveraging Data Analytics in Systems Engineering – Towards a Quantum Leap in Railway Reliability. In: Cardin, M., Hastings, D., Jackson, P., Krob, D., Lui, P., Schmitt, G. (eds) Complex Systems Design & Management Asia. CSD&M 2018. Advances in Intelligent Systems and Computing, vol 878. Springer, Cham. https://doi.org/10.1007/978-3-030-02886-2_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-02886-2_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-02885-5
Online ISBN: 978-3-030-02886-2
eBook Packages: EngineeringEngineering (R0)