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 3 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:
- Long Short-Term Memory(LSTM) is a particular type of Recurrent Neural Network(RNN) that can retain important information over time using …☆37Updated 11 months ago
- Deep model for accident risk prediction over sparse traffic data☆47Updated 5 years ago
- A time series task- predicting traffic flow using LSTM model☆21Updated 5 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
- LCTFP: A freeway traffic flow prediction model based on CNN and LSTM☆101Updated 7 years ago
- 交通流量多模型预测☆53Updated 5 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆74Updated 4 years ago
- Vehicle detection and tracking using deep learning and computer vision.☆13Updated 4 years ago
- We propose a statistical learning-based traffic speed estimation method that uses sparse vehicle trajectory information. Using a convolut…☆25Updated 5 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☆241Updated 5 years ago
- A simulation developed from scratch using Pygame to simulate a 4-way traffic intersection having traffic lights with timer.☆65Updated 4 years ago
- This repository provides an open source implementation of the Spatio-Temporal GAT introduced by Zhang et al in "Spatial-Temporal Graph At…☆107Updated 2 years ago
- Traffic accident prediction using graph neural networks "TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Net…☆56Updated last year
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆116Updated 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…☆310Updated 2 years ago
- short term traffic forecasting using deep learning architectures☆21Updated 2 years ago
- Summary of open source code for deep learning models in the field of traffic prediction☆275Updated 3 years ago
- This is a list of useful information about urban mobility prediction. Related papers, datasets and codes are included.☆21Updated 3 years ago
- This Adaptive Traffic Signal Timer uses live images from the cameras at traffic junctions for real-time traffic density calculation using…☆194Updated 3 years ago
- Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).☆673Updated 2 years ago
- Using to predict the highway traffic speed☆35Updated 9 months ago
- This is repository contains project about traffic light management system based on machine learning☆54Updated 4 years ago
- Traffic Accident Analysis using python machine learning☆30Updated last year
- 城市交通道路流量预测☆59Updated 7 years ago
- Built real-time traffic prediction system using Graph Neural Networks (GNN) & Graph Convolutional Networks (GCN). Integrates GCN & LSTM l…☆24Updated last year
- A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting☆129Updated 3 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆49Updated 3 years ago
- The proposed methodology assess how compression algorithms influence the clustering analysis with respect to anomaly detection of vessel …☆14Updated 2 years ago
- Spatial-Temporal Graph Convolutional Neural Network with LSTM layers☆17Updated 5 years ago
- a Traffic data Visualization and Annotation tool☆43Updated last year