Skip navigation

Arrival Time

Arrival Time

Thompson, Ian (2016) Arrival Time. [Dataset]

[img]
Preview
PDF (Arrival Time at SOUNDPROOF)
17446 THOMPSON_Arrival_Time_at_SOUNDPROOF_2017.pdf - Other

Download (996kB) | Preview
[img]
Preview
PDF (Arrival Time at DRHA)
17446 THOMPSON_Arrival_Time_at_DRHA_2017.pdf - Other

Download (267kB) | Preview
[img]
Preview
PDF (Arrival Time at Green Sky Thinking)
17446 THOMPSON_Arrival_Time_at Green_Sky_Thinking_2018.pdf - Other

Download (283kB) | Preview
[img]
Preview
PDF (Final Project Evaluation Report)
17446 THOMPSON_Research_&_Enterprise_Investment_Programme – Final_Report_2016.pdf - Other

Download (123kB) | Preview

Abstract

“Arrival Time”, is a multi-channel sound installation. This is a durational composition, in which open data from Transport for London (in this case bus route arrival information) is used to control a SuperCollider patch, creating a generative sonic composition that progressively changes according to the pattern of bus traffic within a geographical radius selected via a GoogleMaps web interface.

The work is coded for multichannel installation, and can support up to 16 channels, although 4-8 are sufficient to create a sense of immersion and spatiality in relation to an audience’s listening position. It is intended as a gallery (rather than performance) piece and could theoretically run indefinitely (at least until TfL change the format of their data feeds).

Arrival Time was developed with funding from the University of Greenwich’s Digital Grand Challenge research programme, exploring the potential to use open data as a source for music composition. The piece also considers the threshold between purely sonifying data (for meaningful interpretation) and using data as material for musical composition, detached from its original meaning.

Item Type: Dataset
Additional Information: Evaluation from Dr John Eacott: "The installation has immediate appeal and relevance in the contemporary art and music worlds. I believe that the installation has the potential to appeal to a wide audience ranging from those interested to contemporary and digital arts and music, to people interested in data representation and those interested in transport."
Uncontrolled Keywords: data, bus timetable, generative composition, electronic music, composition, sound art, installation, sonic art
Subjects: M Music and Books on Music > M Music
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Faculty of Architecture, Computing & Humanities > Department of Creative Professions & Digital Arts
Last Modified: 22 Feb 2019 12:14
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/17446

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics