taiwotman / Smart-Traffic
A system and method for the prediction of vehicle traffic congestion on a given roadway within a region. In particular, the computer implemented method of the present disclosure utilize real time traffic images from traffic cameras for the input of data and utilizes computer processing and machine learning to model a predictive level of congesti…
☆45Updated 2 years ago
Alternatives and similar repositories for Smart-Traffic:
Users that are interested in Smart-Traffic are comparing it to the libraries listed below
- Deep model for accident risk prediction over sparse traffic data☆43Updated 4 years ago
- Spatial-Temporal Graph Convolutional Neural Network with LSTM layers☆15Updated 4 years ago
- Traffic Congestion Prediction System using Data Mining☆14Updated 4 years ago
- A time series task- predicting traffic flow using LSTM model☆21Updated 4 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆68Updated 4 years ago
- 交通流量多模型预测☆47Updated 4 years ago
- Long Short-Term Memory(LSTM) is a particular type of Recurrent Neural Network(RNN) that can retain important information over time using …☆33Updated 2 months ago
- ☆14Updated 2 years ago
- We propose a statistical learning-based traffic speed estimation method that uses sparse vehicle trajectory information. Using a convolut…☆22Updated 4 years ago
- Traffic accident prediction using graph neural networks☆46Updated 5 months ago
- short term traffic forecasting using deep learning architectures☆21Updated last year
- Road safety is one of the top most priority of every government and individual. Government spends billions of dollars on making great roa…☆14Updated 4 years ago
- Summary of open source code for deep learning models in the field of traffic prediction☆257Updated 2 years ago
- The proposed methodology assess how compression algorithms influence the clustering analysis with respect to anomaly detection of vessel …☆11Updated 2 years ago
- This is a list of useful information about urban mobility prediction. Related papers, datasets and codes are included.☆21Updated 2 years ago
- LCTFP: A freeway traffic flow prediction model based on CNN and LSTM☆91Updated 6 years ago
- We have used Support Vector Regression and Random Forest Regression to predict traffic or congestion.☆20Updated 4 years ago
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆228Updated last year
- Official implementation of "Spatio-Temporal Vehicle Trajectory Recovery on Road Network Based on Traffic Camera Video Data"(in KDD 2022)☆14Updated last year
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆109Updated 4 years ago
- 城市交通道路流量预测☆50Updated 6 years ago
- ☆89Updated 2 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。☆35Updated 4 years ago
- Building a small demo system to detect and count vehicle using Streamlit framework☆19Updated last year
- AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting☆32Updated last year
- [PAKDD 2021] SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network☆37Updated 6 months 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
- Graph Neural Network☆76Updated 11 months ago
- Vehicle detection and tracking using deep learning and computer vision.☆12Updated 3 years ago
- Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.☆138Updated 3 months ago