Skip to main content

Research Repository

Advanced Search

How do principles for human-centred automation apply to Disruption Management Decision Support?

Golightly, David; Dadashi, Nastaran

Authors

David Golightly

Nastaran Dadashi



Abstract

While automation of signal and route setting is routine, the use of automation or decision support in disruption management processes is far less common. Such support offers significant advantages in optimising re-planning of both timetable and resources (crew and rolling stock), and has value in offering a 'shared view' of re-planning across the many actors manage disruption. If this vision is to be realised, however, disruption management decision support and automation must adhere to proven principles for effective human-agent cooperation. This paper synthesises data from a programme of work to understand user requirements for automated disruption support tools. It then compares these outputs with two frameworks for human-centred automation - one general (Klein et al's [2004] ten challenges for automation) and one transport specific (Balfe et al’s [2012] principles for transport automation). Emergent design requirements include the need for iterative modification of rescheduling parameters throughout a disruption, visibility of the reasoning behind options, accountability remaining in the hands of disruption controllers, and the need for the automated disruption support tools to take a multi-dimensional view of disruption that varies depending on the event encountered. The paper reflects on the practical utility of high-level design principles for automated disruption support tools.

Citation

Golightly, D., & Dadashi, N. (2016). How do principles for human-centred automation apply to Disruption Management Decision Support?. https://doi.org/10.1109/ICIRT.2016.7588725

Conference Name 2016 IEEE International Conference on Intelligent Rail Transportation
Start Date Aug 23, 2016
End Date Aug 25, 2016
Acceptance Date May 19, 2016
Publication Date Oct 13, 2016
Deposit Date Jun 21, 2016
Publicly Available Date Oct 13, 2016
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1109/ICIRT.2016.7588725
Keywords Disruption, automation, traffic management, human factors
Public URL http://eprints.nottingham.ac.uk/id/eprint/34276
Related Public URLs http://www.ieee-icirt.com/
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf

Files


golightly_ieee_icirt_accepted.pdf (322 Kb)
PDF

Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





You might also like



Downloadable Citations