Traffic Graph Convolutional Recurrent Neural Network

Some TrafficFlowForecasting Solutions(交通流量预测解决方案)

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

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…

Paper list in traffic prediction field

Model-based AI approach for network and service coordination leveraging uncertain traffic forecasts

Project - Traffic forecasting by spatio-temporal graph model

A PyTorch implementation of the Attention Diffusion Network from "Structured Time Series Prediction without Structural Prior"

Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities"

Repository for the paper "Graph Convolutional Networks for Traffic Forecasting with Missing Values" in DMKD'22

[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

Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.

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.

[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.

[IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting

ST-MAN: Spatio-Temporal Multimodal Attention Network for Traffic Prediction (KSEM 2023)

Final Degree Project

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)

BIND: Binding Intertemporal Nodes for Multivariate Timeseries Forecasting (Ongoing)