01553696

Component

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.

This paper was sponsored by TRB committee AHB20 Freeway Operations.

01550057

15-4022

English

10p

2015

Transportation Research Board 94th Annual Meeting

Digital/other

Figures; References; Tables

Emergency management; Incident detection; Incident management; Real time information; Social media; Traffic incidents

Twitter

Washington (District of Columbia)

Data and Information Technology; Highways; Operations and Traffic Management; I73: Traffic Control

Transportation Research Board Annual Meeting 2015 Paper #15-4022

TRIS, TRB, ATRI

Dec 30 2014 1:19PM