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 …☆35Updated 3 months ago
- A time series task- predicting traffic flow using LSTM model☆21Updated 4 years ago
- Deep model for accident risk prediction over sparse traffic data☆44Updated 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
- We have used Support Vector Regression and Random Forest Regression to predict traffic or congestion.☆20Updated 4 years ago
- Traffic Accident Analysis using python machine learning☆33Updated 5 months ago
- Traffic Flow Prediction with Vehicle Trajectories☆69Updated 4 years ago
- LCTFP: A freeway traffic flow prediction model based on CNN and LSTM☆94Updated 6 years ago
- 交通流量多模型预测☆48Updated 4 years ago
- Smart Traffic Light Management System employs SUMO and reinforcement learning to dynamically optimize signal timings, reducing congestion…☆20Updated last year
- Summary of open source code for deep learning models in the field of traffic prediction☆260Updated 2 years ago
- Vehicle detection and tracking using deep learning and computer vision.☆12Updated 3 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☆223Updated 4 years ago
- This is repository contains project about traffic light management system based on machine learning☆50Updated 3 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
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…☆288Updated last year
- Built real-time traffic prediction system using Graph Neural Networks (GNN) & Graph Convolutional Networks (GCN). Integrates GCN & LSTM l…☆14Updated 11 months ago
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆109Updated 4 years ago
- ☆24Updated 6 years 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
- Trajectory extraction from traffic surveillance videos☆12Updated 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…☆93Updated 2 years ago
- Trajectory estimation of vehicles in crowded and crossroad scenarios☆10Updated 4 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
- 城市交通道路流量预测☆52Updated 6 years ago
- 交通流预测☆17Updated 4 years ago
- 《交通大数据理论与方法》☆165Updated 2 years ago
- IDL course project: Traffic Accident Detection via Deep Learning.☆16Updated 4 years ago
- A multi-community spatio-temporal graph convolutional network (MC_STGCN) for passenger demand forecasting at multi-region level☆9Updated 4 years ago
- Integrate AutoRL into DQN to implement a single traffic signal control system.☆18Updated last year