bilzinet / Traffic-state-reconstruction-using-Deep-CNNLinks
We propose a statistical learning-based traffic speed estimation method that uses sparse vehicle trajectory information. Using a convolutional encoder-decoder based architecture, we show that a well trained neural network can learn spatio-temporal traffic speed dynamics from timespace diagrams. We demonstrate this for a homogeneous road section …
☆22Updated 5 years ago
Alternatives and similar repositories for Traffic-state-reconstruction-using-Deep-CNN
Users that are interested in Traffic-state-reconstruction-using-Deep-CNN are comparing it to the libraries listed below
Sorting:
- Using to predict the highway traffic speed☆34Updated 5 months ago
- Codebase for vessel trajectory prediction using historical AIS data☆18Updated 3 years ago
- 交通·未来系列线上公益学术活动PPT☆118Updated 2 months ago
- Traffic Flow Prediction with Vehicle Trajectories☆72Updated 4 years ago
- Graph Markov Network for Traffic Forecasting with Missing Data☆30Updated 4 years ago
- 使用深圳市的出租车轨迹数据实现GCN时间序列预测☆9Updated last year
- A Two-Stage Gan architecture to generate trajectory conditioned on maps information.☆46Updated 3 years ago
- RNN Application of Coordinate Systems for Vesssel Trajectory prediction☆14Updated 10 months ago
- A cell transmission model based on python☆48Updated last year
- ☆42Updated 5 months ago
- Continuous Trajectory Generation Based on Two-Stage GAN, AAAI 2023.☆44Updated 2 years ago
- Transportation data online prediction☆50Updated 4 years ago
- ☆93Updated 3 years ago
- ☆12Updated 2 years ago
- ☆36Updated 4 years ago
- The implementation of the paper "A Physics-Informed Transformer Model for Vehicle Trajectory Prediction on Highways". The paper is now un…☆15Updated 3 years ago
- ☆36Updated 6 years ago
- LCTFP: A freeway traffic flow prediction model based on CNN and LSTM☆99Updated 6 years ago
- A variable speed limit control algorithm designed with the Soft Actor-Critic reinforcement learning.☆15Updated 2 years ago
- PyTorch implementation for Social-LSTM, which is built to predict multi-vessel trajectories.☆61Updated 3 years ago
- Taxi Origin-Destination Demand Prediction☆54Updated 5 years ago
- Model for SCALE-Net: Scalable Vehicle Trajectory Prediction Network under Random Number of Interacting Vehicles via Edge-enhanced Graph C…☆12Updated 5 years ago
- public code and data☆37Updated 2 years ago
- ST-SiameseNet (KDD'20)☆22Updated 4 years ago
- Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.☆143Updated 7 months ago
- Python package to process NGSIM data and traffic sensing with autonomous vehicles☆57Updated 5 years ago
- ☆32Updated 3 years ago
- Paper STGAT: Spatial-Temporal Graph Attention Networks for Traffic Flow Forecasting☆21Updated 3 years ago
- data tutorial for i24motion data users☆9Updated 10 months ago
- ☆65Updated 3 years ago