Scipediacontent: Scipediacontent moved page Draft Content 739889285 to 238,295ms

2021-03-23T00:51:27Z

Scipediacontent moved page Draft Content 739889285 to 238,295ms

Scipediacontent: Created page with " == Abstract == Urban emergent incidents affect transportation operation and result in the rapid spread of traffic congestion in network, so it's necessary to analyze the..."

2021-03-23T00:48:40Z

Created page with " == Abstract == Urban emergent incidents affect transportation operation and result in the rapid spread of traffic congestion in network, so it's necessary to analyze the..."

New page

== Abstract ==

Urban emergent incidents affect transportation operation and result in the rapid spread of traffic congestion in network, so it's necessary to analyze the dynamic changes of traffic flow distribution under emergent incidents. Therefore, model and algorithm for the dynamic traffic assignment problem under emergent incidents have been highly concerned by government and scholars. This paper proposes a stochastic dynamic traffic assignment (SDTA) model based user optimum considering the loss of node capacity and change of network structure under traffic and environment emergencies. The Nested Logit model is used to describe the departure time and path choice. Then, the variational inequality formulation is proposed and discrete dynamic network loading algorithm is designed and validated by a numerical example. The results show that the model and algorithm can be used to express the development trend of actual dynamic network under emergency.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_739889285-beopen1357-1014-document.pdf</pdf>

== Original document ==

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

* [http://dx.doi.org/10.1016/j.proeng.2016.01.299 http://dx.doi.org/10.1016/j.proeng.2016.01.299] under the license http://creativecommons.org/licenses/by-nc-nd/4.0/

* [http://gala.gre.ac.uk/id/eprint/28208/7/28208%20WANG_Stochastic_Dynamic_Traffic_Assignment_Model_%28OA%29_2016.pdf http://gala.gre.ac.uk/id/eprint/28208/7/28208%20WANG_Stochastic_Dynamic_Traffic_Assignment_Model_%28OA%29_2016.pdf] under the license http://creativecommons.org/licenses/by-nc-nd/4.0/

* [https://doi.org/10.1016/j.proeng.2016.01.299 https://doi.org/10.1016/j.proeng.2016.01.299] under the license http://creativecommons.org/licenses/by-nc-nd/4.0/

* [https://api.elsevier.com/content/article/PII:S187770581600326X?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S187770581600326X?httpAccept=text/xml],
: [https://api.elsevier.com/content/article/PII:S187770581600326X?httpAccept=text/plain https://api.elsevier.com/content/article/PII:S187770581600326X?httpAccept=text/plain],
: [http://dx.doi.org/10.1016/j.proeng.2016.01.299 http://dx.doi.org/10.1016/j.proeng.2016.01.299] under the license cc-by-nc-nd

* [https://www.sciencedirect.com/science/article/pii/S187770581600326X https://www.sciencedirect.com/science/article/pii/S187770581600326X],
: [https://core.ac.uk/display/82191773 https://core.ac.uk/display/82191773],
: [https://trid.trb.org/view/1415503 https://trid.trb.org/view/1415503],
: [https://academic.microsoft.com/#/detail/2469425446 https://academic.microsoft.com/#/detail/2469425446] under the license https://www.elsevier.com/tdm/userlicense/1.0/

← Older revision	Revision as of 00:51, 23 March 2021
(No difference)

238,295ms - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 739889285 to 238,295ms

Scipediacontent: Created page with " == Abstract == Urban emergent incidents affect transportation operation and result in the rapid spread of traffic congestion in network, so it's necessary to analyze the..."