traffic-forecasting

There are 1 repository under traffic-forecasting topic.

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 822
zezhishao / BasicTS
A Standard and Fair Time Series Forecasting Benchmark and Toolkit.
time-series traffic-forecasting benchmarking long-time-series-forecasting
Language:Python 411
zhiyongc / Graph_Convolutional_LSTM
Traffic Graph Convolutional Recurrent Neural Network
traffic-graph-convolution traffic-flow-prediction graph graph-convolutional-networks lstm traffic-prediction traffic-forecasting
Language:Jupyter Notebook 366
zezhishao / STEP
Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.
multivariate-time-series graph-neural-networks pre-training traffic-forecasting
Language:Python 304
xiaoxiong74 / TrafficFlowForecasting
Some TrafficFlowForecasting Solutions(交通流量预测解决方案)
gcn traffic-forecasting traffic-flow-prediction
282
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 257
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.
urban-computing infrastructure ailab datasets traffic-forecasting traffic-data urban-computing-papers gnn-traffic traffic-prediction traffic-flow demand-forecasting spatio-temporal spatio-temporal-networks flow-prediction demand-prediction graph-convolutional-networks paper temporal-graph-networks
Language:Jupyter Notebook 224
LibCity / Bigscity-LibCity-PaperList
Paper list in traffic prediction field
traffic-prediction traffic-forecasting spatio-temporal-prediction spatio-temporal paper-list network-embedding deep-learning graph-neural-networks map-matching estimated-time-of-arrival libcity
194
zezhishao / STID
Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.
multivariate-time-series baseline traffic-forecasting
Language:Python 152
zezhishao / D2STGNN
Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.
traffic-forecasting
Language:Python 133
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 120
Coolgiserz / Awesome-Traffic-Prediction
Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.
traffic-prediction spatio-temporal-networks flow-prediction traffic-forecasting deep-learning
113
jeongwhanchoi / STG-NCDE
"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022
differential-equations traffic-forecasting spatio-temporal-graph graph-neural-networks spatio-temporal time-series stg-ncde
Language:Python 100
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 87
Mouradost / STGM
STGM: Spatio-Temporal Graph Mixformer for Traffic Forecasting
attention-mechanism gnn-model spatio-temporal-prediction traffic-forecasting
Language:Jupyter Notebook 73
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 56
wengwenchao123 / DDGCRN
[Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting
traffic-forecasting traffic-prediction spatio-temporal-prediction pytorch spatio-temporal-modeling traffic-flow-prediction
Language:Python 45
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 40
YihongT / DASTNet
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 40
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 30
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 25
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 22
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 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 12
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 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
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 6
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 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 5
michael-markl / dynamic-prediction-equilibria
Computation of dynamic selfish flows using predicted travel times
dynamic-flow game-theory traffic-simulation optimization machine-learning equilibrium traffic-forecasting
Language:Python 3
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 2
Equinox-M / Traffic_Volume_Prediction_Using_TCN
This repository contains code and resources for a project focused on predicting traffic volume using Temporal Convolutional Networks (TCNs). Leveraging the Metro Interstate Traffic Volume dataset from 2012-2018, the project aims to develop an accurate model for short- to medium-term traffic volume forecasting in Minneapolis-St Paul, MN.
data-science deep-neural-networks exploratory-data-analysis model-optimization temporal-convolutional-network traffic-forecasting time-series
Language:Jupyter Notebook 1
WU-Guanying / BIND-main
BIND: Binding Intertemporal Nodes for Multivariate Timeseries Forecasting (Ongoing)
graph-learning graph-neural-network multivariate-timeseries spatio-temporal traffic-forecasting ordinary-differential-equations
Language:Python 1
ML-for-graph-analysis / Traffic-Prediction
Project - Traffic forecasting by spatio-temporal graph model
spatio-temporal-prediction traffic-forecasting time-series graph pytorch
Language:Jupyter Notebook 0
SalviCF / traffic-analyzer-tfg
Final Degree Project
time-series object-detection open-data traffic-forecasting yolo

traffic-forecasting

LibCity / Bigscity-LibCity

zezhishao / BasicTS

zhiyongc / Graph_Convolutional_LSTM

zezhishao / STEP

xiaoxiong74 / TrafficFlowForecasting

aprbw / traffic_prediction

Knowledge-Precipitation-Tribe / Spatio-Temporal-papers

LibCity / Bigscity-LibCity-PaperList

zezhishao / STID

zezhishao / D2STGNN

Echo-Ji / ST-SSL

Coolgiserz / Awesome-Traffic-Prediction

jeongwhanchoi / STG-NCDE

deepkashiwa20 / MegaCRN

Mouradost / STGM

LMissher / STWave

wengwenchao123 / DDGCRN

juyongjiang / TrendGCN

YihongT / DASTNet

AmitRoy7781 / USTGCN

AmitRoy7781 / SST-GNN

kevin-xuan / FOGS

hpi-sam / GNN-SpaceTimeGraphs

radandreicristian / adn

amandewatnitrr / Aztecs-LogiTraffic

CN-UPB / FutureCoord

JingweiZuo / GCN-M

RiccardoSpolaor / Verbal-Explanations-of-Spatio-Temporal-Graph-Neural-Networks-for-Traffic-Forecasting

HowardZorn / ST-MAN

michael-markl / dynamic-prediction-equilibria

cruiseresearchgroup / forecasting-on-new-roads

Equinox-M / Traffic_Volume_Prediction_Using_TCN

WU-Guanying / BIND-main

ML-for-graph-analysis / Traffic-Prediction

SalviCF / traffic-analyzer-tfg