Social Media Data Analysis for Traffic Incident Detection and Management
Social media and online services with user-posted content have generated a staggering amount of information that has potential applications in various areas such as incident analysis and emergency management. In this research, the authors explored the feasibility of using social media data for detecting traffic incidents and collecting supplemental incident information. A comprehensive approach has been developed to extract and analyze real-time traffic related twitter data for incident management purpose. The developed approach consists of three steps: (1) Development of traffic incident related key words and their association rules; (2) Extraction of real-time tweets with influential word sets; and (3) Ranking and selection of traffic related tweets. The developed approach was implemented at District of Columbia Department of Transportation for incident management. Data validation has been conducted against the real-world incident database. The preliminary results of analysis have shown that social media data are promising for early incident detection and can be used as supplemental source for incident data collection.
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Supplemental Notes:
- This paper was sponsored by TRB committee AHB20 Freeway Operations.
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Fu, Kaiqun
- Nune, Rakesh
- Tao, Jason X
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Conference:
- Transportation Research Board 94th Annual Meeting
- Location: Washington DC, United States
- Date: 2015-1-11 to 2015-1-15
- Date: 2015
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 10p
- Monograph Title: TRB 94th Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Emergency management; Incident detection; Incident management; Real time information; Social media; Traffic incidents
- Identifier Terms: Twitter
- Geographic Terms: Washington (District of Columbia)
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I73: Traffic Control;
Filing Info
- Accession Number: 01553696
- Record Type: Publication
- Report/Paper Numbers: 15-4022
- Files: TRIS, TRB, ATRI
- Created Date: Feb 19 2015 12:46PM