Crowdsourced social media monitoring system development.

Kumar, Amit; Ross, Catherine L.; Karner, Alex A.; Katyal, Rohan; Georgia Institute of Technology. Center for Quality Growth and Regional Development

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Crowdsourced social media monitoring system development.

2017-08-01
By Kumar, Amit ; Ross, Catherine L. ; Karner, Alex A. ; ...

[PDF-2.38 MB]

English

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Creators:

Kumar, Amit ; Ross, Catherine L. ; Karner, Alex A. ; Katyal, Rohan

Kumar, Amit ; Ross, Catherine L. ; Karner, Alex A. ; Katyal, Rohan Less -
Corporate Creators:

Georgia Institute of Technology. Center for Quality Growth and Regional Development
Corporate Contributors:

Georgia. Department of Transportation. Office of Research ; United States. Federal Highway Administration

Georgia. Department of Transportation. Office of Research ; United States. Federal Highway Administration Less -
Subject/TRT Terms:

[+]

Crowdsourcing Highway Traffic Control Systems Incident Management Management Social Media Social Media Monitoring
Publication/ Report Number:

FHWA-GA-17-1614
Resource Type:

Tech Report
Geographical Coverage:

Georgia ; United States

Georgia ; United States Less -
Corporate Publisher:

Georgia. Department of Transportation. Office of Research
Abstract:

Crowdsourcing is a relatively new area of research, but it is already generating an enormous amount of interest among both researchers and practitioners, and is finding applications in multiple domains. It is particularly useful for efficient traffic management and increasing public participation. Many state DOTs are already using crowdsourced technologies and others are exploring its applications for traffic management. Researchers are using sensor-rich mobile phones and online social networks for fetching data from network users. Despite recent advancements, there remain gaps between the state of the art and practice that need to be bridged. Programs like the Waze Connected Citizens Program and Strava Metro Data Program are success stories in practice. This study explores the implementation of crowdsourced traffic management by Georgia DOT (GDOT) and the challenges specific to them. The reliability of data and filtering high volumes of information were found to be the two primary concerns. The team proposed a system which can potentially tackle those challenges. The system consists of a mobile application and a text mining application that together leverage the existing Twitter technology stack. Based on interviews with traffic management professionals and a visit to GDOT, the report contains recommendations that would improve the workflow at the TMC. Computer vision, data management and social media analytics would be particularly beneficial to decrease operator burden. A system with multiple sources of information integrated into one would be particularly beneficial. We are on the cusp of a revolution with respect to big data and crowdsourcing. This is the ideal time for GDOT to invest in crowdsourcing technologies to reap the benefits in the future.
Format:

PDF
Funding:

2014-32, RES PROJ 16-14
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:0561574b050ebf96fbec287219d60becf2a493ad05435b9f60712c0e14b17112
Download URL:

https://rosap.ntl.bts.gov/view/dot/32726/dot_32726_DS1.pdf
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Crowdsourced social media monitoring system development.

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