Prediction of Shanghai Metro Line 16 Passenger Flow Based on Time Series Analysis—with Lingang Avenue Station as a Study Case
Author:
Publisher
Hans Publishers
Subject
General Earth and Planetary Sciences,General Environmental Science
Cited by 6 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. A separate modelling approach for short-term bus passenger flow prediction based on behavioural patterns: A hybrid decision tree method;Physica A: Statistical Mechanics and its Applications;2023-04
2. Short-Term Passenger Flow Prediction of Urban Rail Transit Based on SDS-SSA-LSTM;Journal of Advanced Transportation;2022-09-21
3. Short-term prediction of passenger volume for urban rail systems: A deep learning approach based on smart-card data;International Journal of Production Economics;2021-01
4. A novel deep recurrent neural network for Short-term travel demand forecasting under on-demand ride services;IOP Conference Series: Materials Science and Engineering;2019-11-01
5. A Comparison Study of Short-Term Passenger Flow Forecast Model of Rail Transit;CICTP 2019;2019-07-02
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