Scipediacontent: Scipediacontent moved page Draft Content 806796985 to 238,295s

2021-03-22T18:21:10Z

Scipediacontent moved page Draft Content 806796985 to 238,295s

Scipediacontent: Created page with " == Abstract == Train station parking (TSP) accuracy is important to enhance the efficiency of train operation and the safety of passengers for urban rail transit. However, T..."

2021-03-22T18:21:04Z

Created page with " == Abstract == Train station parking (TSP) accuracy is important to enhance the efficiency of train operation and the safety of passengers for urban rail transit. However, T..."

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== Abstract ==

Train station parking (TSP) accuracy is important to enhance the efficiency of train operation and the safety of passengers for urban rail transit. However, TSP is always subject to a series of uncertain factors such as extreme weather and uncertain conditions of rail track resistances. To increase the parking accuracy, robustness, and self-learning ability, we propose new train station parking frameworks by using the reinforcement learning (RL) theory combined with the information of balises. Three algorithms were developed, involving a stochastic optimal selection algorithm (SOSA), a Q-learning algorithm (QLA), and a fuzzy function based Q-learning algorithm (FQLA) in order to reduce the parking error in urban rail transit. Meanwhile, five braking rates are adopted as the action vector of the three algorithms and some statistical indices are developed to evaluate parking errors. Simulation results based on real-world data show that the parking errors of the three algorithms are all within the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:mo>±</mml:mo></mml:mrow></mml:math>30cm, which meet the requirement of urban rail transit.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_806796985-beopen1018-8371-document.pdf</pdf>

== Original document ==

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

* [http://downloads.hindawi.com/journals/jat/2019/3072495.pdf http://downloads.hindawi.com/journals/jat/2019/3072495.pdf] under the license https://creativecommons.org/licenses/by

* [http://dx.doi.org/10.1155/2019/3072495 http://dx.doi.org/10.1155/2019/3072495] under the license cc-by

* [http://downloads.hindawi.com/journals/jat/2019/3072495.pdf http://downloads.hindawi.com/journals/jat/2019/3072495.pdf],
: [http://downloads.hindawi.com/journals/jat/2019/3072495.xml http://downloads.hindawi.com/journals/jat/2019/3072495.xml],
: [http://dx.doi.org/10.1155/2019/3072495 http://dx.doi.org/10.1155/2019/3072495] under the license http://creativecommons.org/licenses/by/4.0

* [http://dx.doi.org/10.1155/2019/3072495 http://dx.doi.org/10.1155/2019/3072495],
: [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/2019/3072495 https://www.hindawi.com/journals/jat/2019/3072495],
: [http://downloads.hindawi.com/journals/jat/2019/3072495.pdf http://downloads.hindawi.com/journals/jat/2019/3072495.pdf],
: [https://academic.microsoft.com/#/detail/2964947015 https://academic.microsoft.com/#/detail/2964947015]

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Scipediacontent: Scipediacontent moved page Draft Content 806796985 to 238,295s

Scipediacontent: Created page with " == Abstract == Train station parking (TSP) accuracy is important to enhance the efficiency of train operation and the safety of passengers for urban rail transit. However, T..."