Arnavsao / Real-Time-Traffic-Flow-Prediction-Using-Spatio-Temporal-GNN
Built real-time traffic prediction system using Graph Neural Networks (GNN) & Graph Convolutional Networks (GCN). Integrates GCN & LSTM layers for spatial-temporal dependencies. Generates synthetic traffic data, provides real-time predictions & visualizations. Tech: Python, PyTorch Geometric, NetworkX, NumPy, Matplotlib.
☆14Updated 10 months ago
Alternatives and similar repositories for Real-Time-Traffic-Flow-Prediction-Using-Spatio-Temporal-GNN:
Users that are interested in Real-Time-Traffic-Flow-Prediction-Using-Spatio-Temporal-GNN are comparing it to the libraries listed below
- Code for Deep-learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit☆184Updated 4 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆68Updated 4 years ago
- ASTGCN, LSTM, GCN LSTM with fused result from previous week, day, hour☆18Updated 2 years ago
- 交通流量预测项目在研，以下是本人学习过程中积累整理的资源，会持续更新☆219Updated 4 years ago
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆230Updated last year
- This repository provides an open source implementation of the Spatio-Temporal GAT introduced by Zhang et al in "Spatial-Temporal Graph At…☆92Updated 2 years ago
- A Hybrid Deep Learning Model with Attention based ConvLSTM Networks for Short-Term Traffic Flow Prediction☆104Updated 3 years ago
- 比较 TCN、GRU、GCN、TGCN、 TCN+GCN 在 交通流量预测方面的准确率效果。☆129Updated 3 years ago
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆139Updated 4 years ago
- This work considers combine multi-tricks with highway network to achieve traffic flow prediction accurately.☆26Updated 9 months ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆49Updated 2 years ago
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆109Updated 4 years ago
- A time series task- predicting traffic flow using LSTM model☆21Updated 4 years ago
- 城市交通道路流量预测☆50Updated 6 years ago
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆228Updated last year
- Summary of open source code for deep learning models in the field of traffic prediction☆257Updated 2 years ago
- ☆64Updated 3 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆30Updated 4 years ago
- Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.☆120Updated 8 months ago
- Implementation of the paper - Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction☆39Updated 2 years ago
- [This repo will NOT be maintained until further notice. Sorry for the inconvencience.] Baselines for Traffic Flow Prediction. (HA, ARIMA,…☆20Updated 3 years ago
- curated baselines and evaluation metrics to benchmark the task traffic flow prediction☆28Updated 2 years ago
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆130Updated last week
- Some TrafficFlowForecasting Solutions(交通流量预测解决方案)☆350Updated 4 years ago
- ☆76Updated last year
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…☆287Updated last year
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆90Updated 3 years ago
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆25Updated 2 years ago
- A PyTorch implementation of T-GCN☆62Updated last year
- A correlation information-based spatiotemporal network for traffic flow forecasting☆28Updated last year