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Long-term Time Series Forecasting on Traffic

0.246MSESCNN
0.239720.282110.32450.36689Feb 23, 2023Sep 10, 2023Mar 28, 2024Oct 14, 2024May 2, 2025Nov 18, 2025Jun 6, 2026

Evaluation results

MethodLinks
SCNNPrediction length=32023.050.2460.194—
iTransformerPrediction length=32023.050.250.197—
PatchTSTPrediction length=32023.050.2520.195—
CrossformerPrediction length=32023.050.2890.21—
SCNNPrediction length=242023.050.3160.234—
iTransformerPrediction length=242023.050.3160.234—
TriformerPrediction length=32023.050.320.221—
PatchTSTPrediction length=242023.050.3230.229—
DLinearPrediction length=32023.050.3310.255—
CrossformerPrediction length=242023.050.3350.231—
IdealTSFH=962025.120.3480.244—
GTMT=962025.020.3510.25—
PESD-TSFL=AVG2026.050.3540.242—
PESD-TSFPrediction Length (O)=AVG2026.050.3540.242—
IdealTSFH=1922025.120.3550.243—
TimeBridgeAveraged prediction lengths={96, 192, 336, 720}2025.090.3570.248—
TSMixer + xCPDBackbone=TSMixer, Forecasting Horizon=1922026.030.3580.275—
PatchTSTT=962025.020.360.249—
TIMEBRIDGEL=AVG2026.050.360.255—
TIMEBRIDGEPrediction Length (O)=AVG2026.050.360.255—
F-LLMYear=20242026.020.3640.261—
TTMET=1922025.020.365——
ReNFAveraged prediction lengths={96, 192, 336, 720}2025.090.3650.245—
Variable-Invariant Two-Dimensional State Space ModelPrediction Length=962026.030.3690.254—
SEEDPrediction Length (T)=962025.120.370.247—
LVICLYear=20262026.020.370.26—
PatchTSTPrediction length=962023.050.3710.251—
TTMET=962025.020.372——
GTMT=1922025.020.3730.26—
AutoTimesstrategy=one-for-all, context length=6722024.020.3740.264—
AutoTimesYear=20242026.020.3740.264—
Timer-XLAveraged prediction lengths={96, 192, 336, 720}2025.090.3740.255—
iTransformerPrediction length=962023.050.3750.261—
SOFTSPrediction Length (T)=962025.120.3760.251—
TimeAlignPrediction Length (O)=Avg2025.090.3780.24—
iTransformerYear=20242026.020.3790.272—
TTMET=3362025.020.379——
PatchTSTT=1922025.020.3790.256—
IdealTSFH=3362025.120.380.259—
FlowStateModel parameters=10.6M, Context length=4k, Zero-shot=true2025.080.3810.234—
Twins*H=962025.120.3820.26—
TriformerPrediction length=242023.050.3830.251—
iTrans.strategy=one-for-all, input length=672, output length=962024.020.3840.274—
iTransFormerInput length=672, Forecast horizon={96, 192, 336, 720}, Year=20242025.080.3840.274—
GTMstatus=pre-trained without modifications2025.020.3850.266—
TTM_E2025.020.385——
GTMT=Avg2025.020.3850.266—
TTMET=Avg2025.020.385——
SCNNPrediction length=962023.050.3860.271—
SE-LLMInput length=672, Forecast horizon={96, 192, 336, 720}2025.080.3860.261—
TimeDistillAveraged prediction lengths={96, 192, 336, 720}2025.090.3870.271—
TIME-LLMForecasting Horizons=96, 192, 336, 720 (averaged)2023.100.3880.264—
Time-LLMForecast lengths={96, 192, 336, 720}, Look-back window=5122024.110.3880.264—
TimeLLMYear=20242026.020.3880.264—
GTMT=3362025.020.3880.267—
GPT4TST=962025.020.3880.282—
SegRNNLookback length=720, Prediction horizon=Average2024.090.3890.273—
iTransformerMethod category=Transformer-based, Input sequence length=512, Predictive lengths={96, 192, 336, 720}2025.110.3890.295—
DMSCPrediction Length=96, Look-back Length=962025.080.3890.259—
PatchTSTForecasting Horizons=96, 192, 336, 720 (averaged)2023.100.390.263—
PatchTSTMethod category=Transformer-based, Input sequence length=512, Predictive lengths={96, 192, 336, 720}2025.110.390.263—
PatchTSTHorizons=Average of {96, 192, 336, 720}, Backbone=GPT-2 small2026.020.390.263—
PatchTSTPrediction lengths={96, 192, 336, 720}2023.020.390.264—
PatchTST2025.020.390.263—
PatchTSTT=Avg2025.020.390.263—
PatchTSTstrategy=one-for-all, input length=672, output length=962024.020.3910.275—
PatchTSTYear=20232026.020.3910.264—
DEFORM**L=AVG2026.050.3910.278—
PATCHTSTL=AVG2026.050.3910.264—
CrossformerPrediction length=962023.050.3920.272—
Peri-midFormerForecast lengths={96, 192, 336, 720}, Look-back window=5122024.110.3920.27—
PatchTSTForecast lengths={96, 192, 336, 720}, Look-back window=5122024.110.3920.27—
SEEDPrediction Length (T)=1922025.120.3920.258—
Twins*H=1922025.120.3920.267—
-Mixer++H=962025.120.3920.253—
PatchTSTT=3362025.020.3920.264—
DUETAveraged prediction lengths={96, 192, 336, 720}2025.090.3930.256—
PatchTSTPrediction length=1922023.050.3940.26—
TPCHorizons=Average of {96, 192, 336, 720}, Backbone=GPT-2 small2026.020.3940.264—
iTransformerPrediction Length (T)=96, Input sequence length (L)=962024.030.3950.268—
iTransformerPrediction Length (T)=962025.120.3950.268—
iTrans*H=962025.120.3950.268—
iTransformerAveraged prediction lengths={96, 192, 336, 720}2025.090.3950.279—
iTransformerPrediction length=1922023.050.3960.268—
TimeMachinePrediction Length (T)=96, Input sequence length (L)=962024.030.3970.268—
TSLANetForecast lengths={96, 192, 336, 720}, Look-back window=5122024.110.3970.272—
PatchTSTAveraged prediction lengths={96, 192, 336, 720}2025.090.3970.275—
ITRANS*L=AVG2026.050.3970.282—
SOFTSPrediction Length (T)=1922025.120.3980.261—
TCNYear=2024, Average over horizons=True2024.060.3980.27—
Variable-Invariant Two-Dimensional State Space ModelPrediction Length=Avg2026.030.3980.276—
IdealTSFH=7202025.120.3990.266—
TriTSLookback window=96, Prediction length=Average2026.040.3990.258—
TQNetInput length=672, Forecast horizon={96, 192, 336, 720}, Year=20252025.080.40.278—
PatchTSTLookback length=336, Prediction horizon=Average2024.090.4010.268—
CVAformerForecasting Horizon=96, Input Sequence Length=962026.060.4010.263—
DLinearPrediction length=242023.050.4020.281—
-Mixer++H=1922025.120.4020.258—
Time-LLMInput length=672, Forecast horizon={96, 192, 336, 720}, Year=20242025.080.4020.294—
CycleNet/MLPLookback length=720, Prediction horizon=Average2024.090.4030.282—