traffic-forecasting

There are 1 repository under traffic-forecasting topic.

GestaltCogTeam / BasicTS
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
benchmarking long-time-series-forecasting time-series traffic-forecasting
Language:Python 1031
LibCity / Bigscity-LibCity
LibCity: An Open Library for Urban Spatial-temporal Data Mining
traffic traffic-prediction traffic-flow-prediction traffic-speed-prediction on-demand-service trajectory-prediction toolkit deep-learning spatio-temporal-prediction spatio-temporal pytorch-implementation traffic-forecasting map-matching representation-learning estimated-time-of-arrival traffic-accident-prediction od-matrix time-series-prediction eta libcity
Language:Python 984
GestaltCogTeam / STEP
Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.
graph-neural-networks multivariate-time-series pre-training traffic-forecasting
Language:Python 407
zhiyongc / Graph_Convolutional_LSTM
Traffic Graph Convolutional Recurrent Neural Network
graph graph-convolutional-networks lstm traffic-flow-prediction traffic-forecasting traffic-graph-convolution traffic-prediction
Language:Jupyter Notebook 395
xiaoxiong74 / TrafficFlowForecasting
Some TrafficFlowForecasting Solutions(交通流量预测解决方案)
gcn traffic-forecasting traffic-flow-prediction
349
aprbw / traffic_prediction
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
traffic-prediction traffic-flow-prediction traffic-flow-forecasting traffic-forecasting pytorch tensorflow mxnet time-series timeseries timeseries-forecasting forecasting time-series-forecasting cnn lstm gcn transformer attention neural-network
Language:TeX 287
GestaltCogTeam / STID
Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.
baseline multivariate-time-series traffic-forecasting
Language:Python 274
Knowledge-Precipitation-Tribe / Spatio-Temporal-papers
This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.
ailab datasets demand-forecasting demand-prediction flow-prediction gnn-traffic graph-convolutional-networks infrastructure paper spatio-temporal spatio-temporal-networks temporal-graph-networks traffic-data traffic-flow traffic-forecasting traffic-prediction urban-computing urban-computing-papers
Language:Jupyter Notebook 242
GestaltCogTeam / D2STGNN
Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.
traffic-forecasting
Language:Python 241
LibCity / Bigscity-LibCity-PaperList
Paper list in traffic prediction field
deep-learning estimated-time-of-arrival graph-neural-networks libcity map-matching network-embedding paper-list spatio-temporal spatio-temporal-prediction traffic-forecasting traffic-prediction
223
Echo-Ji / ST-SSL
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
self-supervised-learning traffic-flow-prediction traffic-forecasting spatio-temporal-prediction aaai adaptive contrastive-learning data-augmentation data-mining fairness graph-augmentation graph-neural-networks location-embedding representation-learning robust-machine-learning robustness spatio-temporal-data
Language:Python 172
jeongwhanchoi / STG-NCDE
"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022
differential-equations graph-neural-networks spatio-temporal spatio-temporal-graph stg-ncde time-series traffic-forecasting
Language:Python 142
Coolgiserz / Awesome-Traffic-Prediction
Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.
deep-learning flow-prediction spatio-temporal-networks traffic-forecasting traffic-prediction
137
deepkashiwa20 / MegaCRN
[AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
graph-convolutional-networks graph-neural-networks multivariate-time-series-prediction spatio-temporal-modeling traffic-forecasting convolutional-recurrent-network
Language:Python 112
Mouradost / STGM
STGM: Spatio-Temporal Graph Mixformer for Traffic Forecasting
attention-mechanism gnn-model spatio-temporal-prediction traffic-forecasting
Language:Jupyter Notebook 98
LMissher / STWave
[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
graph-attention-networks graph-neural-networks graph-wavelets intelligent-transportation-systems time-series-forecasting traffic-forecasting urban-computing wavelet-transform graph-transformer icde2023 spatio-temporal traffic-forcasting
Language:Python 82
wengwenchao123 / DDGCRN
[Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting
pytorch spatio-temporal-modeling spatio-temporal-prediction traffic-flow-prediction traffic-forecasting traffic-prediction
Language:Python 77
juyongjiang / TrendGCN
[CIKM 2023] This is the official source code of "TrendGCN: Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting" based on Pytorch.
time-series-forecasting adaptive-graph deep-learning dynamic-graph generative-adversarial-network graph-convolutional-networks traffic-forecasting
Language:Python 48
YihongT / DASTNet
[CIKM 2022] Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities"
traffic-forecasting traffic-flow-forecasting spatial-temporal-forecasting spatio-temporal adversarial-learning transfer-learning traffic cikm2022 time-series time-series-forecasting traffic-prediction urban-computing
Language:Python 44
AmitRoy7781 / SST-GNN
[PAKDD 2021] SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network
graph-neural-network traffic-forecasting spatio-temporal-models gnn traffic-data
Language:Jupyter Notebook 37
AmitRoy7781 / USTGCN
[IJCNN 2021] Unified Spatio-Temporal modeling for traffic forecasting using Graph Convolutional Network
traffic-forecasting graph-neural-network graph-convolution spatio-temporal-prediction gnn graph-ml
Language:Python 33
LMissher / PatchSTG
[SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective
kdd2025 sigkdd spatial-partitioning spatio-temporal-prediction time-series-forecasting traffic-forecasting spatial-analysis spatial-temporal-forecasting spatio-temporal-forecasting time-series-analysis time-series-prediction traffic-prediction
Language:Python 33
kevin-xuan / FOGS
[IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting
graph-neural-networks time-series-forecasting traffic-forecasting
Language:Python 26
hpi-sam / GNN-SpaceTimeGraphs
Graph Neural Networks utilization for Spatiotemporal graphs. These methods will be applied into the problem of forecasting traffic flow on PEMS-Bay, METR-LA and Seattle Loop Datasets
traffic-forecasting traffic-graphs graph-neural-networks spatio-temporal-data graph-convolutional-networks forecasting-algorithm
Language:Jupyter Notebook 18
RiccardoSpolaor / Verbal-Explanations-of-Spatio-Temporal-Graph-Neural-Networks-for-Traffic-Forecasting
An eXplainable AI system to elucidate short-term speed forecasts in traffic networks obtained by Spatio-Temporal Graph Neural Networks.
congestion-analysis explainable-ai feature-importance graph-neural-networks mcts-algorithm metr-la monte-carlo-tree-search natural-language-generation natural-language-processing nlp outcomes-analytics pems-bay post-hoc-explanation spatio-temporal-graph speed-prediction traffic-forecasting transparency trustworthy-ai xai stgnn
Language:Jupyter Notebook 16
wengwenchao123 / PM-DMNet
Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction
memory-network traffic-forecasting traffic-prediction
Language:Python 15
radandreicristian / adn
A PyTorch implementation of the Attention Diffusion Network from "Structured Time Series Prediction without Structural Prior"
attention-mechanism pytorch traffic-forecasting
Language:Python 14
TrafficGCN / ST-GCN
Repository for advanced traffic forecasting models integrating GCN, LSTM/Bi-LSTM, and attention mechanisms for improved accuracy, including weather data processing.
attention-mechanism gcn graph-neural-network graph-neural-networks gru lstm neural-network neural-networks python traffic traffic-analysis traffic-forecasting traffic-prediction weather data-science metr-la pems-bay
Language:Python 13
wengwenchao123 / PDG2Seq
[Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction
graph-neural-networks spatio-temporal-prediction traffic-forecasting traffic-prediction
Language:Python 11
JingweiZuo / GCN-M
Repository for the paper "Graph Convolutional Networks for Traffic Forecasting with Missing Values" in DMKD'22
deep-learning graph-convolutional-networks memory-networks missing-values neural-networks traffic-forecasting
Language:Python 9
amandewatnitrr / Aztecs-LogiTraffic
LogiTraffic is an IoT based Deep Learning Powered Traffic Management and Theft Detection Solution. It’s an online website platform using which user can keep check on certain real-time parameters associated with the vehicle which includes fuel-level, GPS location, Brake System Temperature, Speed, Traffic Forecasting using Vehicle Detection and obtaining vehicle count through different road nodes and predicting Traffic Congestion/Jams. In case the user suspects his/her car has been stolen by logging in using the credentials one can lock the vehicles and see driver’s real time video stream and a picture of the driver is downloaded on the system so that it can be used for further investigation and police cases. (YouTube Video Presentation by Team Aztecs: https://youtu.be/rP2OGjZJ5NY) – Presented in E-Ujjwala Hackathon 2020 by Birsa Institute of Technology, Jharkhand (Team Aztecs - Finalists)
iot iot-application iot-device udibots django api realtime deep-learning siamese-neural-network raspberry-pi python3 vehicle-identification traffic-forecasting
Language:Jupyter Notebook 8
cruiseresearchgroup / forecasting-on-new-roads
Official repo for the following paper: Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training (SCPT) (ECML PKDD DAMI '23)
cnn cnn-pytorch contrastive-learning forecasting forecasting-models forecasting-time-series gcn neural-network pytorch pytorch-cnn simclr time-series timeseries traffic traffic-flow traffic-flow-forecasting traffic-flow-prediction traffic-forecasting traffic-prediction
Language:Python 7
CN-UPB / FutureCoord
Model-based AI approach for network and service coordination leveraging uncertain traffic forecasts
mcts model-based ai planning networking management coordination future uncertainty python python3 pytorch gym network-management service-management research traffic-forecasting monte-carlo-tree-search reinforcement-learning
Language:Python 6
HowardZorn / ST-MAN
ST-MAN: Spatio-Temporal Multimodal Attention Network for Traffic Prediction (KSEM 2023)
spatio-temporal-prediction traffic-flow-prediction traffic-forecasting traffic-prediction traffic-speed-prediction
Language:Python 6
JW-Shen / STGym
A framework for designing and evaluating Spatio-Temporal networks.
benchmarking spatial-temporal time-series traffic-forecasting graph-neural-networks
Language:Python 4
Mr-1504 / Traffic-Forecasting-Model
This is a machine learning model that predicts traffic flow at any given time.
machine-learning traffic-forecasting
Language:Python 4