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Time Granularity Setting Principle for Short-Term Passenger Flow Prediction in Urban Rail Transit Journal article
Zhu, Guangyu, Gong, Yansu, Ding, Jiacun, Wu, Edmond Q., Law, Rob. Time Granularity Setting Principle for Short-Term Passenger Flow Prediction in Urban Rail Transit[J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024, 11(5), 6466-6475.
Authors:  Zhu, Guangyu;  Gong, Yansu;  Ding, Jiacun;  Wu, Edmond Q.;  Law, Rob
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:4.5/4.6 | Submit date：2024/06/05
Autocorrelation Coefficient  Passenger Flow Characteristics  Short-term Prediction Model  Time Granularity Setting  Urban Rail Transit (Urt) Passenger Flow  
Short-Term Traffic Prediction by Two-Level Data Driven Model in 5G-Enabled Edge Computing Networks Journal article
Huang,Yupin, Qian,Liping, Feng,Anqi, Yu,Ningning, Wu,Yuan. Short-Term Traffic Prediction by Two-Level Data Driven Model in 5G-Enabled Edge Computing Networks[J]. IEEE Access, 2019, 7, 123981-123991.
Authors:  Huang,Yupin;  Qian,Liping;  Feng,Anqi;  Yu,Ningning;  Wu,Yuan
Favorite | TC[WOS]:11 TC[Scopus]:16  IF:3.4/3.7 | Submit date：2021/03/11
Deep Belief Network  Edge Computing  Hidden Markov Model  Short-term Traffic Prediction  
Short-term traffic flow prediction based on fuzzy time series Conference paper
Gao, H., Li, L., Chen, L., Liu, R.. Short-term traffic flow prediction based on fuzzy time series[C], 2002.
Authors:  Gao, H.;  Li, L.;  Chen, L.;  Liu, R.
Favorite |  | Submit date：2022/07/27
Fuzzy time series  Intelligent traffic systems  Short-term traffic flow  Traffic prediction model