Journal of Transportation Technologies
Vol.7 No.3(2017), Paper ID 77636, 18
pages
DOI:10.4236/jtts.2017.73021
Evaluating Traffic Congestion Using the Traffic Occupancy and Speed Distribution Relationship: An Application of Bayesian Dirichlet Process Mixtures of Generalized Linear Model
Emmanuel Kidando, Ren Moses, Eren E. Ozguven, Thobias Sando
Department of Civil and Environmental Engineering, FAMU-FSU College of Engineering, Tallahassee, USA
Department of Civil and Environmental Engineering, FAMU-FSU College of Engineering, Tallahassee, USA
Department of Civil and Environmental Engineering, FAMU-FSU College of Engineering, Tallahassee, USA
School of Engineering, University of North Florida, Jacksonville, USA
Copyright © 2017 Emmanuel Kidando, Ren Moses, Eren E. Ozguven, Thobias Sando et al. This is
an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
How to Cite this Article
Kidando, E. , Moses, R. , Ozguven, E. and Sando, T. (2017) Evaluating Traffic Congestion Using the Traffic Occupancy and Speed Distribution Relationship: An Application of Bayesian Dirichlet Process Mixtures of Generalized Linear Model.
Journal of Transportation Technologies,
7, 318-335. doi:
10.4236/jtts.2017.73021.