DEL EDITOR. FREIGHT DEMAND ESTIMATION FROM SECONDARY SOURCES. CASE STUDY: MANHATTAN

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Autor principal: JOSÉ HOLGUÍN-VERAS
Formato: Artículo científico
Lenguaje:en
Publicado: Universidad Nacional de Colombia 2013
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author JOSÉ HOLGUÍN-VERAS
author_facet JOSÉ HOLGUÍN-VERAS
contents DEL EDITOR. FREIGHT DEMAND ESTIMATION FROM SECONDARY SOURCES. CASE STUDY: MANHATTAN JOSÉ HOLGUÍN-VERAS IVAN SÁNCHEZ-DÍAZ CARLOS A. GONZÁLEZ-CALDERÓN Ingeniería Origin Destination Synthesis Freight Transportation Travel Demand Modeling The proposed freight Origin-Destination Synthesis formulation uses a gravity model to estimate trip flows in Manhattan based on traffic counts. The resulting total truck trips are assigned to the network to obtain a set of estimated truck traffic volumes, which are compared to the observed truck traffic. At this stage, the parameters of the model are then recomputed to improve the agreement between estimated and observed truck traffic. The process ends once no further improvement is possible. 2013 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49629318025 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.182 Vol.80
format Artículo científico
id redalyc_49629318025
institution Redalyc
language en
publishDate 2013
publisher Universidad Nacional de Colombia
spellingShingle DEL EDITOR. FREIGHT DEMAND ESTIMATION FROM SECONDARY SOURCES. CASE STUDY: MANHATTAN
JOSÉ HOLGUÍN-VERAS
Ingeniería
Origin
Destination Synthesis
Freight Transportation
Travel Demand Modeling
DEL EDITOR. FREIGHT DEMAND ESTIMATION FROM SECONDARY SOURCES. CASE STUDY: MANHATTAN JOSÉ HOLGUÍN-VERAS IVAN SÁNCHEZ-DÍAZ CARLOS A. GONZÁLEZ-CALDERÓN Ingeniería Origin Destination Synthesis Freight Transportation Travel Demand Modeling The proposed freight Origin-Destination Synthesis formulation uses a gravity model to estimate trip flows in Manhattan based on traffic counts. The resulting total truck trips are assigned to the network to obtain a set of estimated truck traffic volumes, which are compared to the observed truck traffic. At this stage, the parameters of the model are then recomputed to improve the agreement between estimated and observed truck traffic. The process ends once no further improvement is possible. 2013 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49629318025 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.182 Vol.80
title DEL EDITOR. FREIGHT DEMAND ESTIMATION FROM SECONDARY SOURCES. CASE STUDY: MANHATTAN
topic Ingeniería
Origin
Destination Synthesis
Freight Transportation
Travel Demand Modeling
url https://www.redalyc.org/articulo.oa?id=49629318025