SVRGSA: a hybrid learning based model for short‐term traffic flow forecasting
L Cai, Q Chen, W Cai, X Xu, T Zhou… - IET intelligent transport …, 2019 - Wiley Online Library
Accurate and timely short‐term traffic flow forecasting is a critical component for intelligent
transportation systems. However, it is quite challenging to develop an efficient and robust …
transportation systems. However, it is quite challenging to develop an efficient and robust …
SVRGSA: A hybrid learning based model for short-term traffic flow forecasting
L Cai, Q Chen, W Cai, X Xu… - IET Intelligent Transport …, 2019 - research.polyu.edu.hk
Accurate and timely short-term traffic flow forecasting is a critical component for intelligent
transportation systems. However, it is quite challenging to develop an efficient and robust …
transportation systems. However, it is quite challenging to develop an efficient and robust …
SVRGSA: a hybrid learning based model for short-term traffic flow forecasting
L Cai, Q Chen, W Cai, X Xu, T Zhou, J Qin - IET Intelligent Transport Systems, 2019 - IET
Accurate and timely short-term traffic flow forecasting is a critical component for intelligent
transportation systems. However, it is quite challenging to develop an efficient and robust …
transportation systems. However, it is quite challenging to develop an efficient and robust …
SVRGSA: a hybrid learning based model for short-term traffic flow forecasting
L Cai, Q Chen, W Cai, X Xu, T Zhou, J Qin - IET Intelligent Transport …, 2019 - trid.trb.org
Accurate and timely short-term traffic flow forecasting is a critical component for intelligent
transportation systems. However, it is quite challenging to develop an efficient and robust …
transportation systems. However, it is quite challenging to develop an efficient and robust …
[引用][C] SVRGSA: a hybrid learning based model for short-term traffic flow forecasting
L Cai, Q Chen, W Cai, X Xu, T Zhou… - IET Intelligent Transport …, 2019 - ieeexplore.ieee.org
Accurate and timely short-term traffic flow forecasting is a critical component for intelligent
transportation systems. However, it is quite challenging to develop an efficient and robust …
transportation systems. However, it is quite challenging to develop an efficient and robust …