Traffic Prediction
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。
Beijing Traffic
MemDA
BJTaxi
ST-SSL
EXPY-TKY
STD-MAE
HZME(inflow)
HZME(outflow)
CorrSTN
LargeST
PatchSTG
METR-LA
TITAN
NE-BJ
RGDAN
NYCBike1
NYCBike2
NYCTaxi
PEMS-BAY
T-Graphormer
PeMS-M
PeMS04
LightCTS
PeMS07
STAEformer
PeMS08
DTRformer
PeMSD3
PeMSD4
STD-MAE
PeMSD4 (10 days' training data, 15min)
DASTNet
PeMSD4 (10 days' training data, 30min)
PeMSD4 (10 days' training data, 60min)
PeMSD7
STD-MAE
PeMSD7 (10 days' training data, 15min)
PeMSD7 (10 days' training data, 30min)
PeMSD7 (10 days' training data, 60min)
PeMSD7(L)
STD-MAE
PeMSD7(M)
STD-MAE
PeMSD8
Hierarchical-Attention-LSTM (HierAttnLSTM)
PeMSD8 (10 days' training data, 15min)
PeMSD8 (10 days' training data, 30min)
PeMSD8 (10 days' training data, 60min)
Q-Traffic
hybrid Seq2Seq
SZ-Taxi