Scipediacontent: Scipediacontent moved page Draft Content 855312158 to 238,295fk

2021-03-22T20:04:44Z

Scipediacontent moved page Draft Content 855312158 to 238,295fk

Scipediacontent: Created page with " == Abstract == Traffic congestion, especially during peak hours, has become a challenge for transportation systems in many metropolitan areas, and such congestion causes del..."

2021-03-22T20:04:02Z

Created page with " == Abstract == Traffic congestion, especially during peak hours, has become a challenge for transportation systems in many metropolitan areas, and such congestion causes del..."

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== Abstract ==

Traffic congestion, especially during peak hours, has become a challenge for transportation systems in many metropolitan areas, and such congestion causes delays and negative effects for passengers. Many studies have examined the prediction of congestion

however, these studies focus mainly on road traffic, and subway transit, which is the main form of transportation in densely populated cities, such as Tokyo, Paris, and Beijing and Shenzhen in China, has seldom been examined. This study takes Shenzhen as a case study for predicting congestion in a subway system during peak hours and proposes a hybrid method that combines a static traffic assignment model with an agent-based dynamic traffic simulation model to estimate recurrent congestion in this subway system. The homes and work places of the residents in this city are collected and taken to represent the traffic demand for the subway system of Shenzhen. An origin-destination (OD) matrix derived from the data is used as an input in this method of predicting traffic, and the traffic congestion is presented in simulations. To evaluate the predictions, data on the congestion condition of subway segments that are released daily by the Shenzhen metro operation microblog are used as a reference, and a comparative analysis indicates the appropriateness of the proposed method. This study could be taken as an example for similar studies that model subway traffic in other cities.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_855312158-beopen1166-8211-document.pdf</pdf>

== Original document ==

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

* [http://dx.doi.org/10.3390/s20010150 http://dx.doi.org/10.3390/s20010150] under the license https://creativecommons.org/licenses/by

* [http://dx.doi.org/10.3390/s20010150 http://dx.doi.org/10.3390/s20010150] under the license http://creativecommons.org/licenses/by/3.0/

* [http://europepmc.org/articles/PMC6982792 http://europepmc.org/articles/PMC6982792] under the license https://creativecommons.org/licenses/by/4.0

* [https://www.mdpi.com/1424-8220/20/1/150/pdf https://www.mdpi.com/1424-8220/20/1/150/pdf]

* [https://dblp.uni-trier.de/db/journals/sensors/sensors20.html#LuoZLHLZWYX20 https://dblp.uni-trier.de/db/journals/sensors/sensors20.html#LuoZLHLZWYX20],
: [https://www.mdpi.com/1424-8220/20/1/150/pdf https://www.mdpi.com/1424-8220/20/1/150/pdf],
: [https://www.mdpi.com/1424-8220/20/1/150 https://www.mdpi.com/1424-8220/20/1/150],
: [https://www.ncbi.nlm.nih.gov/pubmed/31881726 https://www.ncbi.nlm.nih.gov/pubmed/31881726],
: [https://doi.org/10.3390/s20010150 https://doi.org/10.3390/s20010150],
: [https://academic.microsoft.com/#/detail/2998336146 https://academic.microsoft.com/#/detail/2998336146] under the license cc-by

* [https://www.mdpi.com/1424-8220/20/1/150 https://www.mdpi.com/1424-8220/20/1/150],
: [https://doaj.org/toc/1424-8220 https://doaj.org/toc/1424-8220]

* [https://www.mdpi.com/1424-8220/20/1/150/pdf https://www.mdpi.com/1424-8220/20/1/150/pdf],
: [http://dx.doi.org/10.3390/s20010150 http://dx.doi.org/10.3390/s20010150]

under the license https://creativecommons.org/licenses/by/4.0/

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Scipediacontent: Scipediacontent moved page Draft Content 855312158 to 238,295fk

Scipediacontent: Created page with " == Abstract == Traffic congestion, especially during peak hours, has become a challenge for transportation systems in many metropolitan areas, and such congestion causes del..."