Anderson, M., Wilson, J., & Khan, T. (2014). Evaluation of origin-destination matrix estimation techniques to support aspects of traffic modeling. Alabama. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/27751
Anderson, Michael, Jeffrey Wilson, and Tahmina Khan. Evaluation of origin-destination matrix estimation techniques to support aspects of traffic modeling. Alabama. Department of Transportation, 2014. https://rosap.ntl.bts.gov/view/dot/27751.
Anderson, Michael, et al. Evaluation of origin-destination matrix estimation techniques to support aspects of traffic modeling. Alabama. Department of Transportation, 2014, ROSA P. https://rosap.ntl.bts.gov/view/dot/27751.
Travel demand forecasting models are used to predict future traffic volumes to evaluate
;
roadway improvement alternatives. Each of the metropolitan planning organizations (MPO) in
;
Alabama maintains a travel demand model to support planning efforts. For smaller areas, non-
;
MPOs, no travel demand models exist to support planning efforts. The goal of this project is to
;
examine the use of a methodology that can utilize existing traffic counts to develop
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origin/destination matrices in an attempt to improve existing travel demand models and support
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the development of new travel demand models in areas that are too small to maintain their own
;
models. Applying the methodology to develop the origin/destination matrix for a community
;
from existing traffic counts has the potential to be used to evaluate area friction factors, be used
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to support the development/refinement of trip generation models and determine the level of
;
external-internal and external-external traffic.
Anderson, M., Wilson, J., & Khan, T. (2014). Evaluation of origin-destination matrix estimation techniques to support aspects of traffic modeling. Alabama. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/27751
Anderson, Michael, Jeffrey Wilson, and Tahmina Khan. Evaluation of origin-destination matrix estimation techniques to support aspects of traffic modeling. Alabama. Department of Transportation, 2014. https://rosap.ntl.bts.gov/view/dot/27751.
Anderson, Michael, et al. Evaluation of origin-destination matrix estimation techniques to support aspects of traffic modeling. Alabama. Department of Transportation, 2014, ROSA P. https://rosap.ntl.bts.gov/view/dot/27751.
ROSA P serves as an archival repository of USDOT-published products including scientific
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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