Short-Term Passenger Flow Prediction in Urban Rail Transit Based on Points of Interest-Reference-Cited by-同舟云学术

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Short-Term Passenger Flow Prediction in Urban Rail Transit Based on Points of Interest

Published:2024 Issue: Volume:12 Page:95196-95208
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Cheng Jie¹^ORCID,Liu Guangjie¹^ORCID,Gao Shen²,Raza Ahmed¹,Li Jiming³,Juan Wu⁴

Affiliation:

1. School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China

2. Nanjing Panda Information Industry Group Company Ltd., Nanjing, China

3. Nanjing Metro Operation Company Ltd., Nanjing, China

4. Nanjing Metro Construction Company Ltd., Nanjing, Jiangsu, China

Funder

National Natural Science Foundation of China

Jiangsu Province Frontier Innovation Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10591968.pdf?arnumber=10591968

Reference44 articles.

1. SARIMA modelling approach for railway passenger flow forecasting

2. Short-term forecasting of urban rail transit ridership based on ARIMA and wavelet decomposition

3. Forecasting Short-Term Passenger Flow: An Empirical Study on Shenzhen Metro

4. A Short-Term Traffic Flow Prediction Model Based on an Improved Gate Recurrent Unit Neural Network

5. Short-Term Traffic Flow Prediction Method for Urban Road Sections Based on Space–Time Analysis and GRU

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