Mining open and crowdsourced data to improve situational awareness for railway

Syed Sadiqur Rahman; John M. Easton; Clive Roberts

doi:10.1145/2808797.2809369

Mining open and crowdsourced data to improve situational awareness for railway

Syed Sadiqur Rahman
, John M. Easton
, Clive Roberts

School of Social Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Citations (Scopus)

Abstract

This paper describes on-going research developing a system to harvest and utilise open and crowdsourced data related to the UK railway systems. This system will allow the controllers and decision makers to listen to the messages posted on social networks by passengers or other members of the public and relate these messages to specific (physical) trains that are referred to in those messages, by fusing information from other open sources. This will enable the railway controllers to take prompt actions in case of any emergency or simply to improve the quality of customer service.

Original language	English
Title of host publication	Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Publisher	Association for Computing Machinery
Pages	1240-1243
Number of pages	4
ISBN (Electronic)	9781450338547
DOIs	https://doi.org/10.1145/2808797.2809369
Publication status	Published - 25 Aug 2015
Event	2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - Paris, France Duration: 25 Aug 2015 → 28 Aug 2015

Conference

Conference	2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Abbreviated title	ASONAM 2015
Country/Territory	France
City	Paris
Period	25/08/15 → 28/08/15

Keywords

Crowd-Sourcing
Data fusion
Open data intelligence
Railway
Situation awareness

ASJC Scopus subject areas

Computer Science Applications
Computer Networks and Communications

Access to Document

10.1145/2808797.2809369

Cite this

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title = "Mining open and crowdsourced data to improve situational awareness for railway",

abstract = "This paper describes on-going research developing a system to harvest and utilise open and crowdsourced data related to the UK railway systems. This system will allow the controllers and decision makers to listen to the messages posted on social networks by passengers or other members of the public and relate these messages to specific (physical) trains that are referred to in those messages, by fusing information from other open sources. This will enable the railway controllers to take prompt actions in case of any emergency or simply to improve the quality of customer service.",

keywords = "Crowd-Sourcing, Data fusion, Open data intelligence, Railway, Situation awareness",

author = "Rahman, \{Syed Sadiqur\} and Easton, \{John M.\} and Clive Roberts",

note = "Publisher Copyright: {\textcopyright} 2015 ACM.; 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015 ; Conference date: 25-08-2015 Through 28-08-2015",

year = "2015",

month = aug,

day = "25",

doi = "10.1145/2808797.2809369",

language = "English",

pages = "1240--1243",

booktitle = "Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining",

publisher = "Association for Computing Machinery",

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Rahman, SS, Easton, JM & Roberts, C 2015, Mining open and crowdsourced data to improve situational awareness for railway. in Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Association for Computing Machinery, pp. 1240-1243, 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Paris, France, 25/08/15. https://doi.org/10.1145/2808797.2809369

Mining open and crowdsourced data to improve situational awareness for railway. / Rahman, Syed Sadiqur; Easton, John M.; Roberts, Clive.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Association for Computing Machinery, 2015. p. 1240-1243.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

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AU - Easton, John M.

AU - Roberts, Clive

PY - 2015/8/25

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AB - This paper describes on-going research developing a system to harvest and utilise open and crowdsourced data related to the UK railway systems. This system will allow the controllers and decision makers to listen to the messages posted on social networks by passengers or other members of the public and relate these messages to specific (physical) trains that are referred to in those messages, by fusing information from other open sources. This will enable the railway controllers to take prompt actions in case of any emergency or simply to improve the quality of customer service.

KW - Crowd-Sourcing

KW - Data fusion

KW - Open data intelligence

KW - Railway

KW - Situation awareness

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U2 - 10.1145/2808797.2809369

DO - 10.1145/2808797.2809369

M3 - Conference contribution

AN - SCOPUS:84962577724

SP - 1240

EP - 1243

BT - Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

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Y2 - 25 August 2015 through 28 August 2015

ER -

Mining open and crowdsourced data to improve situational awareness for railway

Abstract

Conference

Keywords

ASJC Scopus subject areas

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