nikhilpatil99 / Smart-Traffic-Management-Using-Deep-LearningLinks
The traffic handling schemes that are in use today are fixed time allocated traffic signal which do not change on incoming traffic or fail to provide time allocation scheme over changing traffic. A solution is required to the traditional traffic signal problem. Thus there is need to make smart traffic control system which can identify types of v…
☆11Updated 4 years ago
Alternatives and similar repositories for Smart-Traffic-Management-Using-Deep-Learning
Users that are interested in Smart-Traffic-Management-Using-Deep-Learning 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 …☆35Updated 8 months ago
- 🚗🚦 Introducing our Smart Adaptive Traffic Management System! 📷🧠 Using YOLO v8 object detection & CCTV cameras, we analyze real-time t…☆50Updated last year
- The name says everything...☆28Updated 2 years ago
- REALTIME EFFICIENT TRAFFIC MONITORING☆35Updated 4 years ago
- Smart Traffic Light Management System employs SUMO and reinforcement learning to dynamically optimize signal timings, reducing congestion…☆22Updated last year
- This GitHub repo hosts an RL-based Traffic Light Control System (TLCS) for optimizing intersections. Employing Reinforcement Learning, it…☆11Updated last year
- This Adaptive Traffic Signal Timer uses live images from the cameras at traffic junctions for real-time traffic density calculation using…☆193Updated 2 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 is repository contains project about traffic light management system based on machine learning☆53Updated 4 years ago
- The name says everything...☆55Updated 4 years ago
- Vehicle detection and tracking using deep learning and computer vision.☆12Updated 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
- We developed a system that leverages on YOLO Machine Learning Model for managing the traffic flow based on the vehicle density.☆59Updated 4 years ago
- Predicting the energy consumption of EVs using the RNN and LSTM. Competencies: Machine Learning, RNN, SUMO Simulation. Python Libraries: …☆19Updated 4 years ago
- Optimize traffic flow at intersections with a Deep Q-Learning agent. Utilizes reinforcement learning to control traffic signals efficient…☆32Updated last year
- Project on getting the angle of steering rotation in a self-driving car. This project is inspired by NVIDIA End to End Learning for Self-…☆95Updated 3 years ago
- The project aims to develop models that can forecast traffic congestion, aiding in effective traffic management and planning.☆12Updated 3 years ago
- User can set up destination for any agent to navigate on Google Map and learn the best route for the agent based on its current condition…☆259Updated 2 years ago
- A system and method for the prediction of vehicle traffic congestion on a given roadway within a region. In particular, the computer impl…☆49Updated 2 years ago
- This is an application exploiting principles of Deep Reinforcement Learning. The Deep Neural Network is trained to approximate the Bellma…☆156Updated 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
- Electric Vehicle Market Segmentation Analysis in India☆14Updated 5 months ago
- Electric Vehicle Routing Problem☆33Updated 4 years ago
- ☆32Updated 4 years ago
- Traffic Light Control problem using Actor- Critic algorithm in Simulation of Urban Mobility (SUMO) simulator☆18Updated 3 years ago
- Traffic Accident Analysis using python machine learning☆30Updated 11 months ago
- CNN Based model to classify Plant Leaf Diseases. Used Flask for the front-end and hosted on Heroku.☆27Updated last year
- ☆17Updated 3 years ago
- Investigating Q-Learning and DQN variants for Traffic Signal Control problem☆26Updated 3 years ago
- Simulating V2V and V2I connectivity in Matlab using car following, lane changing models and entry and exit ramps on a 4-Highways, 3-Ramps…☆21Updated 10 years ago