Fuzzy multivariate NARX model for passenger entrance flow prediction in the Shanghai subway system-Reference-Cited by-同舟云学术

Fuzzy multivariate NARX model for passenger entrance flow prediction in the Shanghai subway system

Published:2016-12-05 Issue:6 Volume:31 Page:3047-3054
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Cui Chunsheng¹,Jia Hongfei¹,Huang Liping²,Zhang Xiaopeng³

Affiliation:

1. School of Transportation, Jilin University, Changchun, China

2. College of Computer Science and Technology, Jilin University, Changchun, China

3. College of Software, Jilin University, Changchun, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference13 articles.

1. Prediction of urban railway station’s entrance and exit passenger flow based on multiply ARIMA model;Cai;Journal of Beijing Jiaotong University,2014

2. Wind speed prediction using a univariate ARIMA model and a multivariate NARX model;Cadenas;Energies,2016

3. Vulnerability analysis and passenger source prediction in urban rail transit networks;Wang;PloS One,2013

4. Fuzzy time series-based cross-layer optimization scheme for cooperative communication in wireless network;Huang;Journal of Intelligent & Fuzzy Systems,2015

5. Traffic prediction using multivariate nonparametric regression;Clark;Journal of Transportation Engineering,2003

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluating rail transit assignment models in the temporal dimension: The problem and its solution;International Journal of Transportation Science and Technology;2024-06

2. What can we learn from 9 years of ticketing data at a major transport hub? A structural time series decomposition;Transportmetrica A: Transport Science;2021-07-19

3. Forecasting the Short-Term Metro Ridership With Seasonal and Trend Decomposition Using Loess and LSTM Neural Networks;IEEE Access;2020