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

Presenter Information

Alexander Hainen, The University of AlabmaFollow
Amanda Stevens, Indiana Department of Transportation
Christopher Day, Purdue UniversityFollow
Howell Li, Purdue UniversityFollow
Jamie Mackie, Utah Department of Transportation
Matt Luker, Utah Department of Transportation
Mark Taylor, Utah Department of Transportation
James Sturdevant, Indiana Department of TransportationFollow
Darcy Bullock, Purdue UniversityFollow

Recommended Citation

Hainen, A., A. Stevens, C. Day, H. Li, J. Mackie, M. Luker, M. Taylor, J. Sturdevant, and D. Bullock. High-Resolution Controller Data Performance Measures for Optimizing Divergent Diamond Interchanges and Outcome Assessment for Drone Video. Automated Traffic Signal Performance Measures Workshop. 2016. http://dx.doi.org/10.5703/1288284316054

DOI

10.5703/1288284316054

Comments

This poster corresponds to the following article: 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

This article can be found here: http://docs.lib.purdue.edu/civeng/18/