From Twitter to detector: Real-time traffic incident detection using social media data

Transportation Research Part C: Emerging Technologies

Volumn 67, Issue , 2016, Pages 321-342

  Gu, Yiming ^a   Qian, Zhen ^a   Chen, Feng ^b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b State University of New York   (United States)

Author keywords

Crowd sourcing; Data mining; Geocoding; Incident detection; Natural language processing; Social media

Indexed keywords

COST EFFECTIVENESS; DATA ACQUISITION; FILTRATION; NATURAL LANGUAGE PROCESSING SYSTEMS; SOCIAL NETWORKING (ONLINE); VECTOR SPACES;

EMERGENCY RESPONSE SYSTEMS; GEO CODING; INCIDENT DETECTION; INFLUENTIAL USERS; NATURAL LANGUAGE PROCESSING; REAL TIME TRAFFICS; SOCIAL MEDIA; SOCIAL MEDIA DATUM;

DATA MINING;

DATA ACQUISITION; DATA MINING; MASS MEDIA; METHODOLOGY; REAL TIME; SOCIAL NETWORK; TRAFFIC MANAGEMENT;

EID: 84960845346     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2016.02.011     Document Type: Article

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