lipopo / traffic_flow_multi_model_predictLinks
交通流量多模型预测
☆51Updated 5 years ago
Alternatives and similar repositories for traffic_flow_multi_model_predict
Users that are interested in traffic_flow_multi_model_predict are comparing it to the libraries listed below
Sorting:
- 城市交通道路流量预测☆55Updated 6 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☆231Updated 5 years ago
- Some TrafficFlowForecasting Solutions(交通流量预测解决方案)☆374Updated 4 years ago
- LCTFP: A freeway traffic flow prediction model based on CNN and LSTM☆101Updated 6 years ago
- 分别使用三种图卷积做一个简单的交通流量预测模型。☆38Updated 5 years ago
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆114Updated 4 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。☆137Updated 4 years ago
- [This repo will NOT be maintained until further notice. Sorry for the inconvencience.] Baselines for Traffic Flow Prediction. (HA, ARIMA,…☆21Updated 4 years ago
- 《交通大数据理论与方法》☆174Updated 3 years ago
- 利用TensorFlow框架构建LSTM模型做出城市流量的预测☆20Updated 4 years ago
- Tutorial about Graph Convolutional Network(GCN)☆102Updated 4 years ago
- ☆20Updated 4 years ago
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆151Updated 4 years ago
- 交通·未来系列线上公益学术活动PPT☆117Updated 4 months ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆50Updated 2 years ago
- Code for Deep-learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit☆203Updated 5 years ago
- T-GCN交通流量动态预测,需要研究如何把流速转化为流量☆10Updated 5 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆73Updated 4 years ago
- A Hybrid Deep Learning Model with Attention based ConvLSTM Networks for Short-Term Traffic Flow Prediction☆108Updated 3 years ago
- 基于图注意力模型(GAT)的交通网络流量预测☆14Updated 3 years ago
- 利用已有的地铁流量历史数据建立模型,实现数据间存在的关联,为该城市未来一天的地铁流量进行一个较为准确的预测☆28Updated 6 years ago
- 客流预测、Resnet☆15Updated 5 years ago
- 基于卡口实时过车数据进行交通流量的实时预测分析,使用LSTM循环神经网络模型进行融合预测,准确率达到90%以上。☆58Updated 5 years ago
- AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting☆36Updated 2 years ago
- Paper STGAT: Spatial-Temporal Graph Attention Networks for Traffic Flow Forecasting☆21Updated 3 years ago
- paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>☆168Updated 4 years ago
- traffic-prediction using LSTM and GCN by pytorch☆61Updated 5 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆59Updated 2 years ago
- Summary of open source code for deep learning models in the field of traffic prediction☆271Updated 2 years ago
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆232Updated last year