Speed Grade Evaluation of Public-Transportation Lines Based on an Improved T-S Fuzzy Neural Network

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 a...

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Bibliographic Details
Main Authors: Shunfeng Zhang, Peiqing Li, Biqiang Zhong, Jin Wu
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2020/8838084
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