High-Resolution Controller Data Performance Measures for Optimizing Diverging Diamond Interchanges and Outcome Assessment with Drone Video

Author

Alexander M. Hainen, University of AlabamaFollow
Amanda L. Stevens, Indiana Department of TransportationFollow
Christopher M. Day, Purdue UniversityFollow
Howell Li, Purdue UniversityFollow
Jamie Mackey, Utah Department of TransportationFollow
Matt Luker, Utah Department of TransportationFollow
Mark Taylor, Utah Department of TransportationFollow
James R. Sturdevant, INDOTFollow
Darcy M. Bullock, Purdue UniversityFollow

Comments

This is the author-accepted manuscript version of Hainen, A.M., A.L. Stevens, C.M. Day, H. Li, J. Mackey, M. Luker, M. Taylor, J.R. Sturdevant, and D.M. Bullock, “Performance Measures for Optimizing Diverging Interchanges and Outcome Assessment with Drone Video,” Transportation Research Record: Journal of Transportation Research Board, No. 2487,Transportation Research Board of the National Academies, Washington, D.C., pp. 31–43, August 2015.http://dx.doi.org/10.3141/2487-03.

Its corresponding poster can be found here:http://docs.lib.purdue.edu/atspmw/2016/Posters/11/

Date of this Version

2015

Recommended Citation

Hainen, Alexander M.; Stevens, Amanda L.; Day, Christopher M.; Li, Howell; Mackey, Jamie; Luker, Matt; Taylor, Mark; Sturdevant, James R.; and Bullock, Darcy M., "High-Resolution Controller Data Performance Measures for Optimizing Diverging Diamond Interchanges and Outcome Assessment with Drone Video" (2015). Lyles School of Civil Engineering Faculty Publications. Paper 18.
https://docs.lib.purdue.edu/civeng/18