交通预测
交通预测是一项涉及特定区域或道路车辆流量和旅行时间等交通状况预报的任务。作为时间序列分析的一个重要应用,其核心目标是通过历史数据和实时信息,优化交通运输系统,减少交通拥堵,提高道路使用效率和安全性。
METR-LA
TITAN
PeMS07
STAEformer
PEMS-BAY
STD-MAE
PeMS08
PDFormer
PeMSD4
STD-MAE
PeMSD8
Hierarchical-Attention-LSTM (HierAttnLSTM)
PeMS04
PDFormer
EXPY-TKY
STD-MAE
PeMSD7
STG-NCDE
PeMSD7(M)
STD-MAE
LargeST
PatchSTG
NE-BJ
RGDAN
PeMSD3
PeMSD7(L)
STD-MAE
BJTaxi
ST-SSL
NYCTaxi
PeMS-M
SZ-Taxi
NYCBike1
NYCBike2
Beijing Traffic
MemDA
HZME(inflow)
HZME(outflow)
CorrSTN
PeMSD4 (10 days' training data, 15min)
DASTNet
PeMSD4 (10 days' training data, 30min)
PeMSD4 (10 days' training data, 60min)
PeMSD7 (10 days' training data, 15min)
PeMSD7 (10 days' training data, 30min)
PeMSD7 (10 days' training data, 60min)
PeMSD8 (10 days' training data, 15min)
PeMSD8 (10 days' training data, 30min)
PeMSD8 (10 days' training data, 60min)
Q-Traffic
hybrid Seq2Seq