Scipediacontent: Scipediacontent moved page Draft Content 989148949 to He Qu 2019a

2021-02-15T09:47:08Z

Scipediacontent moved page Draft Content 989148949 to He Qu 2019a

Scipediacontent: Created page with " == Abstract == Timely predicting and controlling the traffic congestion in a station caused by an emergency is an important task in railway emergency management. However, tr..."

2021-02-15T09:47:04Z

Created page with " == Abstract == Timely predicting and controlling the traffic congestion in a station caused by an emergency is an important task in railway emergency management. However, tr..."

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== Abstract ==

Timely predicting and controlling the traffic congestion in a station caused by an emergency is an important task in railway emergency management. However, traffic forecasting in an emergency is subject to a dynamic service network, with uncertainty surrounding elements such as the capacity of the transport network, schedules, and plans. Accurate traffic forecasting is difficult. This paper proposes a practical time&ndash

space network model based on a train diagram for predicting and controlling the traffic congestion in a station caused by an emergency. Based on the train diagram, we constructed a symmetric time&ndash

space network for the first time by considering the transition of the railcar state. On this basis, an improved A* algorithm based on the railcar flow route was proposed to generate feasible path sets and a dynamic railcar flow distribution model was built to simulate the railcar flow distribution process in an emergency. In our numerical studies, these output results of our proposed model can be used to control traffic congestion.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_989148949-beopen799-1802-document.pdf</pdf>

== Original document ==

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

* [http://dx.doi.org/10.3390/sym11060780 http://dx.doi.org/10.3390/sym11060780] under the license https://creativecommons.org/licenses/by

* [http://dx.doi.org/10.3390/sym11060780 http://dx.doi.org/10.3390/sym11060780] under the license http://creativecommons.org/licenses/by/3.0/

* [https://www.mdpi.com/2073-8994/11/6/780/pdf https://www.mdpi.com/2073-8994/11/6/780/pdf] under the license https://creativecommons.org/licenses/by/4.0

* [https://www.mdpi.com/2073-8994/11/6/780 https://www.mdpi.com/2073-8994/11/6/780],
: [https://dblp.uni-trier.de/db/journals/symmetry/symmetry11.html#QuH19 https://dblp.uni-trier.de/db/journals/symmetry/symmetry11.html#QuH19],
: [https://www.mdpi.com/2073-8994/11/6/780/pdf https://www.mdpi.com/2073-8994/11/6/780/pdf],
: [https://doi.org/10.3390/sym11060780 https://doi.org/10.3390/sym11060780],
: [https://academic.microsoft.com/#/detail/2950009606 https://academic.microsoft.com/#/detail/2950009606] under the license cc-by

* [https://www.mdpi.com/2073-8994/11/6/780 https://www.mdpi.com/2073-8994/11/6/780],
: [https://doaj.org/toc/2073-8994 https://doaj.org/toc/2073-8994]

* [https://www.mdpi.com/2073-8994/11/6/780/pdf https://www.mdpi.com/2073-8994/11/6/780/pdf],
: [http://dx.doi.org/10.3390/sym11060780 http://dx.doi.org/10.3390/sym11060780]

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

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He Qu 2019a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 989148949 to He Qu 2019a

Scipediacontent: Created page with " == Abstract == Timely predicting and controlling the traffic congestion in a station caused by an emergency is an important task in railway emergency management. However, tr..."