taiwotman / Smart-TrafficLinks
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…
☆50Updated 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
Sorting:
- Deep model for accident risk prediction over sparse traffic data☆45Updated 5 years ago
- Long Short-Term Memory(LSTM) is a particular type of Recurrent Neural Network(RNN) that can retain important information over time using …☆36Updated 10 months ago
- A time series task- predicting traffic flow using LSTM model☆21Updated 5 years ago
- LCTFP: A freeway traffic flow prediction model based on CNN and LSTM☆100Updated 6 years ago
- The proposed methodology assess how compression algorithms influence the clustering analysis with respect to anomaly detection of vessel …☆13Updated 2 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆74Updated 4 years ago
- 交通流量多模型预测☆54Updated 5 years ago
- ASTGCN, LSTM, GCN LSTM with fused result from previous week, day, hour☆22Updated 3 years ago
- short term traffic forecasting using deep learning architectures☆21Updated 2 years ago
- 城市交通道路流量预测☆57Updated 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☆240Updated 5 years ago
- A Novel Spatio-Temporal Generative Inference Network for Predicting the Long-Term Highway Traffic Speed☆19Updated last year
- This repository provides an open source implementation of the Spatio-Temporal GAT introduced by Zhang et al in "Spatial-Temporal Graph At…☆105Updated 2 years ago
- Proposed Proof of Concept to solve Traffic Congestion and Prediction Problem for Smart Cities by using LSTM(for future prediction) + CNN(…☆18Updated 2 years ago
- ☆33Updated 4 years ago
- Using to predict the highway traffic speed☆35Updated 8 months ago
- A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting☆128Updated 3 years ago
- Vehicle detection and tracking using deep learning and computer vision.☆13Updated 4 years ago
- IDL course project: Traffic Accident Detection via Deep Learning.☆19Updated 4 years ago
- Ujwal2910 / Smart-Traffic-Signals-in-India-using-Deep-Reinforcement-Learning-and-Advanced-Computer-VisionWe have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian …☆210Updated 6 years ago
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆115Updated 5 years ago
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…☆309Updated 2 years ago
- Written python files to work with pNEUMA dataset☆22Updated 4 years ago
- Summary of open source code for deep learning models in the field of traffic prediction☆273Updated 3 years ago
- Traffic accident prediction using graph neural networks "TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Net…☆55Updated last year
- 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
- traffic-prediction using LSTM and GCN by pytorch☆61Updated 5 years ago
- Road safety is one of the top most priority of every government and individual. Government spends billions of dollars on making great roa…☆14Updated 5 years ago
- ☆18Updated 2 years ago
- a Traffic data Visualization and Annotation tool☆43Updated last year