Project - Traffic forecasting by spatio-temporal graph model
-
Updated
Feb 4, 2022 - Jupyter Notebook
Project - Traffic forecasting by spatio-temporal graph model
Final Degree Project
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.
BIND: Binding Intertemporal Nodes for Multivariate Timeseries Forecasting (Ongoing)
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)
Computation of dynamic selfish flows using predicted travel times
ST-MAN: Spatio-Temporal Multimodal Attention Network for Traffic Prediction (KSEM 2023)
Repository for the paper "Graph Convolutional Networks for Traffic Forecasting with Missing Values" in DMKD'22
Model-based AI approach for network and service coordination leveraging uncertain traffic forecasts
An eXplainable AI system to elucidate short-term speed forecasts in traffic networks obtained by Spatio-Temporal Graph Neural Networks.
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 ob…
A PyTorch implementation of the Attention Diffusion Network from "Structured Time Series Prediction without Structural Prior"
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
[IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting
[PAKDD 2021] SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network
[IJCNN 2021] Unified Spatio-Temporal modeling for traffic forecasting using Graph Convolutional Network
Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities"
[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.
[Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting
[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
Add a description, image, and links to the traffic-forecasting topic page so that developers can more easily learn about it.
To associate your repository with the traffic-forecasting topic, visit your repo's landing page and select "manage topics."