PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification | Paper Citation Record

Observation b1247be0-010d-4232-8147-afb30d434dea · outbound

This paper cites An adaptive composite time series forecasting model for short-term traffic flow,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification An adaptive composite time series forecasting model for short-term traffic flow,

Reference 1

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Observation b7fe5c1d-2b9f-4902-9637-b44b035d8ab6 · outbound

This paper cites Freeway performance measurement system: mining loop detector data,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Freeway performance measurement system: mining loop detector data,

Reference 2

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Observation c384493c-3311-4f3a-84d2-4a47bb3a533c · outbound

This paper cites Citywide traffic volume inference with surveillance camera records,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Citywide traffic volume inference with surveillance camera records,

Reference 3

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Observation 54d45789-5b41-4f9f-b519-bff7187e7790 · outbound

This paper cites Detection of road traffic participants using cost-effective arrayed ultrasonic sensors in low-speed traffic situations,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Detection of road traffic participants using cost-effective arrayed ultrasonic sensors in low-speed traffic situations,

Reference 4

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Observation ffb93ca9-2efb-4ebd-bddf-86263e29a1a7 · outbound

This paper cites The highd dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification The highd dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems,

Reference 5

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Observation 92f3e3a8-37cd-4b22-b197-9e8540a6467e · outbound

This paper cites Urban traffic flow prediction techniques: A review,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Urban traffic flow prediction techniques: A review,

Reference 6

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Observation feda0c52-ae0d-479f-8953-ad96809d153b · outbound

This paper cites A study of traffic capacity,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification A study of traffic capacity,

Reference 7

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Observation 453716b0-7932-413c-bc95-79e01513729c · outbound

This paper cites Short-term traffic flow prediction using seasonal arima model with limited input data,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Short-term traffic flow prediction using seasonal arima model with limited input data,

Reference 8

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Observation 13fb3822-948c-45bc-b99f-7f581591dd3b · outbound

This paper cites Traffic flow forecasting with particle swarm optimization and support vector regression,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Traffic flow forecasting with particle swarm optimization and support vector regression,

Reference 9

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Observation bcb676e9-6676-42bd-8abe-d59b4ba94e51 · outbound

This paper cites Research on travel time prediction model of freeway based on gradient boosting decision tree,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Research on travel time prediction model of freeway based on gradient boosting decision tree,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:13.094134Z

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Observation 531cdec7-599b-4662-beda-ec569c435868 · outbound

This paper cites Modeling spatial non- stationarity via deformable convolutions for deep traffic flow prediction,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Modeling spatial non- stationarity via deformable convolutions for deep traffic flow prediction,

Reference 11

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Observation 5cd7cf11-3cca-46db-ae53-f8c69319adc2 · outbound

This paper cites A recurrent neural network for urban long-term traffic flow forecasting,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification A recurrent neural network for urban long-term traffic flow forecasting,

Reference 12

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Observation 9494d278-9d9e-4a41-b8c1-dfc8663e16bc · outbound

This paper cites Traffic flow prediction using lstm with feature enhancement,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Traffic flow prediction using lstm with feature enhancement,

Reference 13

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Observation 590c79d5-12c0-487c-975d-5c7901d17224 · outbound

This paper cites Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Reference 14

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Observation b5b3639b-c634-4285-b3fd-142669bd68d7 · outbound

This paper cites Attention is all you need,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Attention is all you need,

Reference 15

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Observation 9edb7a5c-3a10-4f4b-ade1-500ce1c60e2c · outbound

This paper cites Traffic congestion measurement based on inflow and outflow rates,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Traffic congestion measurement based on inflow and outflow rates,

Reference 16

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Observation 11543fd0-a5e3-4b80-a6af-f926381201b1 · outbound

This paper cites Research on vehicle congestion group identification for evaluation of traffic flow parameters,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Research on vehicle congestion group identification for evaluation of traffic flow parameters,

Reference 17

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Observation 7b8819ea-5467-4d9a-8733-c2c74e5f6bc0 · outbound

This paper cites Traffic congestion evaluation of urban streets based on fuzzy inference system and gis application,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Traffic congestion evaluation of urban streets based on fuzzy inference system and gis application,

Reference 18

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Observation e83a560c-59bd-4efe-bc93-686d11ba2105 · outbound

This paper cites Predictions of freeway traffic speeds and volumes using vector autoregressive models,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Predictions of freeway traffic speeds and volumes using vector autoregressive models,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.983996Z

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Observation f747c36c-8f30-4931-98d7-78cf8f34c75f · outbound

This paper cites Dynamic prediction of traffic vol- ume through kalman filtering theory,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Dynamic prediction of traffic vol- ume through kalman filtering theory,

Reference 20

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Observation e681c79d-e8f8-451a-9ff4-c16bddeb7b64 · outbound

This paper cites A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.954764Z

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Observation b047384e-8866-4eb9-8ae3-890f52021ef3 · outbound

This paper cites Long short-term memory neural network for traffic speed prediction using remote microwave sensor data,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Long short-term memory neural network for traffic speed prediction using remote microwave sensor data,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.940142Z

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Observation ff05ec98-14e4-4208-9ed1-7191322aad9a · outbound

This paper cites Using lstm and gru neural network methods for traffic flow prediction,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Using lstm and gru neural network methods for traffic flow prediction,

Reference 23

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Observation b2182729-4bf2-481b-813e-54363950adad · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 24

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Observation eb4da1ea-0d1b-4ff9-bd8a-2dfe95fbc53d · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Informer: Beyond efficient transformer for long sequence time-series forecasting,

Reference 25

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Observation 860a14d4-34f8-4bb4-8526-df0502f01ef0 · outbound

This paper cites Graph WaveNet for Deep Spatial-Temporal Graph Modeling.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 26

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Observation 820bfe62-6d4e-40d5-8d86-d93d2dc6c4e8 · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 27

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Observation 9198dec7-caee-4888-8707-44a5ea421d58 · outbound

This paper cites Freeway traffic stream modeling based on principal curves and its analysis,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Freeway traffic stream modeling based on principal curves and its analysis,

Reference 28

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Observation 974b035b-65f0-4cf7-bb3d-d6b0465bf334 · outbound

This paper cites The highway capacity manual 6th edition: A guide for multimodal mobility analysis,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification The highway capacity manual 6th edition: A guide for multimodal mobility analysis,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.886334Z

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Observation 4531a6eb-d744-4593-ba8c-0a5a0f1bc83c · outbound

This paper cites Lane-changes prediction based on adaptive fuzzy neural network,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Lane-changes prediction based on adaptive fuzzy neural network,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.872138Z

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Observation c0f8ec8c-c201-4973-b4aa-deada756f452 · outbound

This paper cites Wavelet packet-autocorrelation function method for traffic flow pattern analysis,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Wavelet packet-autocorrelation function method for traffic flow pattern analysis,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.857356Z

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Observation e0382c01-5b52-4b5d-a3ce-31e95ebe66fd · outbound

This paper cites Data- driven intelligent transportation systems: A survey,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Data- driven intelligent transportation systems: A survey,

Reference 32

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Observation 797a7180-296e-428a-ab1b-68d08d02abaa · outbound

This paper cites Driving with knowledge from the physical world,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Driving with knowledge from the physical world,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.828225Z

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Observation 27af3bf0-156a-49fb-9efb-6ea76790f1ec · outbound

This paper cites Microscopic traffic simulation using sumo,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Microscopic traffic simulation using sumo,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.814721Z

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Observation b67422ce-ca23-406a-9d09-8c626bfc11a8 · outbound

This paper cites On the assessment of vehicle trajectory data accuracy and application to the next generation simulation (ngsim) program data,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification On the assessment of vehicle trajectory data accuracy and application to the next generation simulation (ngsim) program data,

Reference 35

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Observation 1120c5cd-157b-43ef-855c-a32fea3c6564 · outbound

This paper cites The ind dataset: A drone dataset of naturalistic road user trajectories at german intersections,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification The ind dataset: A drone dataset of naturalistic road user trajectories at german intersections,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.785394Z

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Observation 370dd0e8-8a0d-4fa0-b540-22321e8ec940 · outbound

This paper cites Driving data distribution of human drivers in urban driving condition,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Driving data distribution of human drivers in urban driving condition,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.769986Z

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Observation aa9b234c-8c77-4296-aefa-4d842bad7ce1 · outbound

This paper cites Sind: A drone dataset at signalized intersection in china,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Sind: A drone dataset at signalized intersection in china,

Reference 38

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Observation 41d53c2f-5e62-4ea8-a71a-bb0c1c4bfe85 · outbound

This paper cites The ad4che dataset and its application in typical congestion scenarios of traffic jam pilot systems,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification The ad4che dataset and its application in typical congestion scenarios of traffic jam pilot systems,

Reference 39

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Observation 5ca17aa3-c18e-4c8d-9105-571e5de514bb · outbound

This paper cites of Housing and U.-R.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification of Housing and U.-R

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.736092Z

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Observation b51d2d46-bfda-4031-bee8-da2ca5c5fde5 · outbound

This paper cites N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

Reference 41

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Observation 1636dc7f-c101-48fe-ab57-7176a6fdb1c4 · outbound

This paper cites An experiment in linguistic synthesis with a fuzzy logic controller,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification An experiment in linguistic synthesis with a fuzzy logic controller,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.720908Z

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Observation 3226d0a7-8d43-4864-adda-3aa1e4a7e56f · outbound

This paper cites A short-term traffic flow prediction model based on an improved gate recurrent unit neural network,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification A short-term traffic flow prediction model based on an improved gate recurrent unit neural network,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.706703Z

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Observation 5a308a23-f2cc-4220-b553-e94a26bce314 · outbound

This paper cites Self-attention convlstm for spatiotemporal prediction,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Self-attention convlstm for spatiotemporal prediction,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.692520Z

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Observation 407b0462-9d9c-461a-a9a8-0716a08c3792 · outbound

This paper cites Short-term traffic flow prediction for urban road sections based on time series analysis and lstm bilstm method,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Short-term traffic flow prediction for urban road sections based on time series analysis and lstm bilstm method,

Reference 45

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Observation 50b713c9-8a37-4fa1-8f2a-b9f2088cf21b · outbound

This paper cites Deep learning,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Deep learning,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:12.492039Z

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Observation 226e6b24-1fdf-4b15-9b72-e2196f7ed37f · outbound

This paper cites Deep learning for precipitation nowcasting: A benchmark and a new model,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Deep learning for precipitation nowcasting: A benchmark and a new model,

Reference 47

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Observation 4e11d4f9-21f3-41be-9ccf-7517c1583256 · outbound

This paper cites Combining recurrent, convolutional, and continuous-time models with linear state space layers,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Combining recurrent, convolutional, and continuous-time models with linear state space layers,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:12.501152Z

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Observation c2023d17-1041-4e80-bf8f-3be76d758b23 · outbound

This paper cites Reformer: The Efficient Transformer.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Reformer: The Efficient Transformer

Reference 49

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Observation b105507c-e1a4-4862-9cc3-93e88831c194 · outbound

This paper cites Fedformer: Frequency enhanced decomposed transformer for long-term series fore- casting,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Fedformer: Frequency enhanced decomposed transformer for long-term series fore- casting,

Reference 50

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Observation aa37c40e-0159-4cf5-ac72-f2f1887fbfc8 · outbound

This paper cites Modeling long-and short-term temporal patterns with deep neural networks,.

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification Modeling long-and short-term temporal patterns with deep neural networks,

Reference 51

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