Using Anonymous Connected Vehicle Data to Evaluate Impact of Speed Feedback Displays, Speed Limit Signs and Roadway Features on Interstate Work Zones Speeds

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ISSN Print: 2160-0473
ISSN Online: 2160-0481
www.scirp.org/journal/jtts
E-mail: jtts@scirp.org

"Using Anonymous Connected Vehicle Data to Evaluate Impact of Speed Feedback Displays, Speed Limit Signs and Roadway Features on Interstate Work Zones Speeds"
written by Jijo K. Mathew, Jairaj Desai, Howell Li, Darcy M. Bullock,
published by Journal of Transportation Technologies, Vol.11 No.4, 2021

has been cited by the following article(s):

[1]	Real-time crash potential prediction on freeways using connected vehicle data
	Aty - Analytic methods in accident research, 2022

[2]	Using connected vehicle trajectory data to evaluate the impact of automated work zone speed enforcement
	Sensors, 2022

[3]	Methodology for monitoring work zones traffic operations using connected vehicle data
	Safety, 2022

[4]	An Assessment of Connected Vehicle Data: The Evaluation of Intersections for Elevated Safety Risks and Data Representativeness
	2022

[1]	Using Connected Vehicle Trajectory Data to Evaluate the Impact of Automated Work Zone Speed Enforcement Sensors, 2022 DOI:10.3390/s22082885

[2]	Methodology for Monitoring Work Zones Traffic Operations Using Connected Vehicle Data Safety, 2022 DOI:10.3390/safety8020041

[3]	Real-time crash potential prediction on freeways using connected vehicle data Analytic Methods in Accident Research, 2022 DOI:10.1016/j.amar.2022.100239

[4]	Real-time crash potential prediction on freeways using connected vehicle data Analytic Methods in Accident Research, 2022 DOI:10.1016/j.amar.2022.100239

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