Adler, J., Horner, J., Dyer, J., Toppen, A., Burgess, L., & Hatcher, G. (2014). Estimate benefits of crowdsourced data from social media (Report No. FHWA-JPO-14-165). United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/3517
Adler, Jeffrey, John Horner, Jeanette Dyer, Alan Toppen, Lisa Burgess, and Greg Hatcher. Estimate benefits of crowdsourced data from social media. Report no. FHWA-JPO-14-165. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2014. https://rosap.ntl.bts.gov/view/dot/3517.
Adler, Jeffrey, et al. Estimate benefits of crowdsourced data from social media. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2014, Report no. FHWA-JPO-14-165, ROSA P. https://rosap.ntl.bts.gov/view/dot/3517.
Traffic Management Centers (TMCs) acquire, process, and integrate data in a variety of ways to support real-time operations.
;
Crowdsourcing has been identified as one of the top trends and technologies that traffic management agencies can adapt and take
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advantage of from outside the transportation community to improve data quality, coverage, and cost. Several traffic management
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agencies have active projects to integrate crowdsourced data into TMC operations. The purpose of this project is to identify,
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research, and synthesize the opportunity for agencies to work with crowdsourced data from available applications, and to develop
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measures that can articulate the value proposition to work with such resources and consider their impacts on TMC operations.
Adler, J., Horner, J., Dyer, J., Toppen, A., Burgess, L., & Hatcher, G. (2014). Estimate benefits of crowdsourced data from social media (Report No. FHWA-JPO-14-165). United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/3517
Adler, Jeffrey, John Horner, Jeanette Dyer, Alan Toppen, Lisa Burgess, and Greg Hatcher. Estimate benefits of crowdsourced data from social media. Report no. FHWA-JPO-14-165. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2014. https://rosap.ntl.bts.gov/view/dot/3517.
Adler, Jeffrey, et al. Estimate benefits of crowdsourced data from social media. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2014, Report no. FHWA-JPO-14-165, ROSA P. https://rosap.ntl.bts.gov/view/dot/3517.
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findings, journal articles, guidelines, recommendations, or other information authored or co-authored by
USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to
ensure public access to scientific information.
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