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…
☆46Updated 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
- 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
- A time series task- predicting traffic flow using LSTM model☆21Updated 4 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 4 years ago
- 交通流量多模型预测☆47Updated 4 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☆220Updated 4 years ago
- This is repository contains project about traffic light management system based on machine learning☆49Updated 3 years ago
- Summary of open source code for deep learning models in the field of traffic prediction☆258Updated 2 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆68Updated 4 years ago
- Vehicle detection and tracking using deep learning and computer vision.☆12Updated 3 years ago
- 《交通大数据理论与方法》☆165Updated 2 years ago
- LCTFP: A freeway traffic flow prediction model based on CNN and LSTM☆91Updated 6 years ago
- Spatial-Temporal Graph Convolutional Neural Network with LSTM layers☆15Updated 4 years ago
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…☆287Updated last year
- ☆14Updated 2 years ago
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆109Updated 4 years ago
- ☆13Updated 2 years ago
- Traffic Accident Analysis using python machine learning☆33Updated 4 months ago
- Proposed Proof of Concept to solve Traffic Congestion and Prediction Problem for Smart Cities by using LSTM(for future prediction) + CNN(…☆15Updated 2 years ago
- 城市交通道路流量预测☆50Updated 6 years ago
- 深圳市道路交通事故数据分析☆19Updated 7 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
- ☆89Updated 2 years ago
- Built real-time traffic prediction system using Graph Neural Networks (GNN) & Graph Convolutional Networks (GCN). Integrates GCN & LSTM l…☆14Updated 10 months ago
- We have used Support Vector Regression and Random Forest Regression to predict traffic or congestion.☆20Updated 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 …☆199Updated 5 years ago
- Using to predict the highway traffic speed☆31Updated 3 weeks ago
- Written python files to work with pNEUMA dataset☆21Updated 3 years ago
- IDL course project: Traffic Accident Detection via Deep Learning.☆16Updated 4 years ago
- The name says everything...☆23Updated 2 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆49Updated 2 years ago