Exploratory Study on Correlation Between Twitter Concentration and Traffic Surges
Social media receive increasing attention as a crowdsourced information resource in traffic operations and management. Tweets, which are blogged and shared by great masses of people, may be associated with some major social activities. In this study these tweets are called "Twitter concentrations." The public activities behind Twitter concentrations potentially pose more pressure on the traffic network and cause traffic surges within a specified time and location. However, it is still unknown how closely the Twitter concentrations and traffic surges are correlated. This study fuses a set of tweets and traffic data collected during 2014 in Northern Virginia and investigates the correlation between Twitter concentrations and traffic surges in July. The results show the promise and effectiveness of the proposed methods and even provide insights into the causality of nonrecurrent traffic surges.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780309441155
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Authors:
- Zhang, Zhenhua
- Ni, Ming
- He, Qing
- Gao, Jing
- Gou, Jizhan
- Li, Xiaoling
- Publication Date: 2016
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 90–98
- Monograph Title: Highway Capacity and Quality of Service
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Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Issue Number: 2553
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Cluster analysis; Detection and identification systems; Methodology; Social media; Traffic congestion; Traffic forecasting
- Identifier Terms: Twitter
- Geographic Terms: Northern Virginia
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01593358
- Record Type: Publication
- ISBN: 9780309441155
- Report/Paper Numbers: 16-3203
- Files: TRIS, TRB, ATRI
- Created Date: Mar 9 2016 3:58PM