Mining Open and Crowdsourced Data to Improve Situational Awareness for Railway

被引：4
|
作者：
Rahman, Syed Sadiqur [1 ]
Easton, John M. [1 ]
Roberts, Clive [1 ]
机构：
[1] Univ Birmingham, Sch Elect Elect & Syst Engn, Birmingham B15 2SA, W Midlands, England
来源：
PROCEEDINGS OF THE 2015 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2015) | 2015年
关键词：
Crowd-Sourcing; Open Data Intelligence; Data Fusion; Situation Awareness; Railway;
D O I：
10.1145/2808797.2809369
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：1240 / 1243
页数：4
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