Scipediacontent: Scipediacontent moved page Draft Content 255177138 to Zhang et al 2020e

2021-02-12T13:52:55Z

Scipediacontent moved page Draft Content 255177138 to Zhang et al 2020e

Scipediacontent: Created page with " == Abstract == This paper proposes an evaluation method based on a T-S fuzzy neural network for evaluating the speed grade of public-transport lines in the context of large-..."

2021-02-12T13:52:52Z

Created page with " == Abstract == This paper proposes an evaluation method based on a T-S fuzzy neural network for evaluating the speed grade of public-transport lines in the context of large-..."

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== Abstract ==

This paper proposes an evaluation method based on a T-S fuzzy neural network for evaluating the speed grade of public-transport lines in the context of large-scale rail-transit planning and construction in Hangzhou. The six-dimensional data of morning peak/evening peak average speed, average speed at peak, average station distance, proportion of dedicated lanes, and nonlinear coefficients were selected as input data for the neural network to output the operating speed grade of bus lines. Improving and optimizing the membership function of the Takagi–Sugeno (T-S) model improves its predicted result accuracy compared to a traditional T-S model. The line data of 28 typical trunk lines or expressways in Hangzhou were used as an example; the results demonstrate that the speed grade evaluation method based on an improved T-S fuzzy neural network can effectively and quickly evaluate the speed grade of Hangzhou public-transportation lines. This paper presents a novel analysis and method for large-scale rail-transit planning and evaluation of urban public-transport lines. The aim is to provide practical instruction for the subsequent optimization of public-transportation lines in Hangzhou.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_255177138-beopen431-6487-document.pdf</pdf>

== Original document ==

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

* [http://dx.doi.org/10.1155/2020/8838084 http://dx.doi.org/10.1155/2020/8838084] under the license https://creativecommons.org/licenses/by/4.0/

* [http://downloads.hindawi.com/journals/jat/2020/8838084.pdf http://downloads.hindawi.com/journals/jat/2020/8838084.pdf],
: [http://downloads.hindawi.com/journals/jat/2020/8838084.xml http://downloads.hindawi.com/journals/jat/2020/8838084.xml],
: [http://dx.doi.org/10.1155/2020/8838084 http://dx.doi.org/10.1155/2020/8838084]

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

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Scipediacontent: Scipediacontent moved page Draft Content 255177138 to Zhang et al 2020e

Scipediacontent: Created page with " == Abstract == This paper proposes an evaluation method based on a T-S fuzzy neural network for evaluating the speed grade of public-transport lines in the context of large-..."