Scipediacontent: Scipediacontent moved page Draft Content 706825474 to Nigro et al 2018a

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Scipediacontent moved page Draft Content 706825474 to Nigro et al 2018a

Scipediacontent: Created page with " == Abstract == This paper examines the impact of applying dynamic traffic assignment (DTA) and quasi-dynamic traffic assignment (QDTA) models, which apply different route ch..."

2021-02-12T11:40:30Z

Created page with " == Abstract == This paper examines the impact of applying dynamic traffic assignment (DTA) and quasi-dynamic traffic assignment (QDTA) models, which apply different route ch..."

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== Abstract ==

This paper examines the impact of applying dynamic traffic assignment (DTA) and quasi-dynamic traffic assignment (QDTA) models, which apply different route choice approaches (shortest paths based on current travel times, User Equilibrium: UE, and system optimum: SO), on the accuracy of the solution of the offline dynamic demand estimation problem. The evaluation scheme is based on the adoption of a bilevel approach, where the upper level consists of the adjustment of a starting demand using traffic measures and the lower level of the solution of the traffic network assignment problem. The SPSA AD-PI (Simultaneous Perturbation Stochastic Approximation Asymmetric Design Polynomial Interpolation) is adopted as a solution algorithm. A comparative analysis is conducted on a test network and the results highlight the importance of route choice model and information for the stability and the quality of the offline dynamic demand estimations.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_706825474-beopen39-5249-document.pdf</pdf>

== Original document ==

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

* [http://downloads.hindawi.com/journals/jat/2018/2085625.pdf http://downloads.hindawi.com/journals/jat/2018/2085625.pdf] under the license https://creativecommons.org/licenses/by

* [http://dx.doi.org/10.1155/2018/2085625 http://dx.doi.org/10.1155/2018/2085625] under the license cc-by

* [http://downloads.hindawi.com/journals/jat/2018/2085625.pdf http://downloads.hindawi.com/journals/jat/2018/2085625.pdf],
: [http://downloads.hindawi.com/journals/jat/2018/2085625.xml http://downloads.hindawi.com/journals/jat/2018/2085625.xml],
: [http://dx.doi.org/10.1155/2018/2085625 http://dx.doi.org/10.1155/2018/2085625] under the license http://creativecommons.org/licenses/by/4.0

* [http://dx.doi.org/10.1155/2018/2085625 http://dx.doi.org/10.1155/2018/2085625],
: [https://doaj.org/toc/0197-6729 https://doaj.org/toc/0197-6729],
: [https://doaj.org/toc/2042-3195 https://doaj.org/toc/2042-3195] under the license http://creativecommons.org/licenses/by/4.0/

* [https://www.hindawi.com/journals/jat/2018/2085625 https://www.hindawi.com/journals/jat/2018/2085625],
: [https://iris.uniroma3.it/handle/11590/339398 https://iris.uniroma3.it/handle/11590/339398],
: [http://downloads.hindawi.com/journals/jat/2018/2085625.pdf http://downloads.hindawi.com/journals/jat/2018/2085625.pdf],
: [https://academic.microsoft.com/#/detail/2804803202 https://academic.microsoft.com/#/detail/2804803202]

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Nigro et al 2018a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 706825474 to Nigro et al 2018a

Scipediacontent: Created page with " == Abstract == This paper examines the impact of applying dynamic traffic assignment (DTA) and quasi-dynamic traffic assignment (QDTA) models, which apply different route ch..."