Mughabghab et al 1996a - Revision history

Scipediacontent at 18:51, 25 January 2021

2021-01-25T18:51:52Z

Scipediacontent at 11:00, 22 January 2021

2021-01-22T11:00:56Z

Scipediacontent: Scipediacontent moved page Draft Content 159971641 to Mughabghab et al 1996a

2020-10-26T14:42:36Z

Scipediacontent moved page Draft Content 159971641 to Mughabghab et al 1996a

Scipediacontent: Created page with " == Abstract == A traffic congestion forecasting model (ATOP), developed in the present investigation, is described briefly. Several macroscopic models, based on the solution..."

2020-10-26T14:42:34Z

Created page with " == Abstract == A traffic congestion forecasting model (ATOP), developed in the present investigation, is described briefly. Several macroscopic models, based on the solution..."

New page

== Abstract ==

A traffic congestion forecasting model (ATOP), developed in the present investigation, is described briefly. Several macroscopic models, based on the solution of the partial differential equation of conservation of vehicles by the finite difference method, were tested using actual traffic data. The functional form, as well as the parameters, of the equation of state which describes the relation between traffic speed and traffic density, were determined for a section of the Long Island Expressway. The Lax method and the forward difference technique were applied. The results of extensive tests showed that the Lax method, in addition to giving very good agreement with the traffic data, produces stable solutions.

Document type: Report

== Full document ==
<pdf>Media:Draft_Content_159971641-beopen497-2121-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.2172/226027 http://dx.doi.org/10.2172/226027]

* [https://digital.library.unt.edu/ark:/67531/metadc671259/m2/1/high_res_d/226027.pdf https://digital.library.unt.edu/ark:/67531/metadc671259/m2/1/high_res_d/226027.pdf]

* [https://core.ac.uk/display/71150816 https://core.ac.uk/display/71150816],[https://digital.library.unt.edu/ark:/67531/metadc671259/m2/1/high_res_d/226027.pdf https://digital.library.unt.edu/ark:/67531/metadc671259/m2/1/high_res_d/226027.pdf],[https://rosap.ntl.bts.gov/view/dot/13844 https://rosap.ntl.bts.gov/view/dot/13844],[https://digital.library.unt.edu/ark:/67531/metadc671259 https://digital.library.unt.edu/ark:/67531/metadc671259],[https://academic.microsoft.com/#/detail/1538726581 https://academic.microsoft.com/#/detail/1538726581]

← Older revision		Revision as of 18:51, 25 January 2021
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	== Abstract ==		== Abstract ==

−	A traffic congestion forecasting model (ATOP), developed in the present investigation, is described briefly. Several macroscopic models, based on the solution of the partial differential equation of conservation of vehicles by the finite difference method, were tested using actual traffic data. The functional form, as well as the parameters, of the equation of state which describes the relation between traffic speed and traffic density, were determined for a section of the Long Island Expressway. The Lax method and the forward difference technique were applied. The results of extensive tests showed that the Lax method, in addition to giving very good agreement with the traffic data, produces stable solutions.	+	traffic congestion forecasting model (ATOP), developed in the present investigation, is described briefly. Several macroscopic models, based on the solution of the partial differential equation of conservation of vehicles by the finite difference method, were tested using actual traffic data. The functional form, as well as the parameters, of the equation of state which describes the relation between traffic speed and traffic density, were determined for a section of the Long Island Expressway. The Lax method and the forward difference technique were applied. The results of extensive tests showed that the Lax method, in addition to giving very good agreement with the traffic data, produces stable solutions.

@@ Line 3: / Line 3: @@
 A traffic congestion forecasting model (ATOP), developed in the present investigation, is described briefly. Several macroscopic models, based on the solution of the partial differential equation of conservation of vehicles by the finite difference method, were tested using actual traffic data. The functional form, as well as the parameters, of the equation of state which describes the relation between traffic speed and traffic density, were determined for a section of the Long Island Expressway. The Lax method and the forward difference technique were applied. The results of extensive tests showed that the Lax method, in addition to giving very good agreement with the traffic data, produces stable solutions.
@@ Line 18: / Line 13: @@
 * [https://digital.library.unt.edu/ark:/67531/metadc671259/m2/1/high_res_d/226027.pdf https://digital.library.unt.edu/ark:/67531/metadc671259/m2/1/high_res_d/226027.pdf]
-* [https://core.ac.uk/display/71150816 https://core.ac.uk/display/71150816],[https://digital.library.unt.edu/ark:/67531/metadc671259/m2/1/high_res_d/226027.pdf https://digital.library.unt.edu/ark:/67531/metadc671259/m2/1/high_res_d/226027.pdf],[https://rosap.ntl.bts.gov/view/dot/13844 https://rosap.ntl.bts.gov/view/dot/13844],[https://digital.library.unt.edu/ark:/67531/metadc671259 https://digital.library.unt.edu/ark:/67531/metadc671259],[https://academic.microsoft.com/#/detail/1538726581 https://academic.microsoft.com/#/detail/1538726581]
+* [https://core.ac.uk/display/71150816 https://core.ac.uk/display/71150816],

← Older revision	Revision as of 14:42, 26 October 2020
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