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 vβ¦
β10Updated 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:
- ππ¦ Introducing our Smart Adaptive Traffic Management System! π·π§ Using YOLO v8 object detection & CCTV cameras, we analyze real-time tβ¦β41Updated last year
- REALTIME EFFICIENT TRAFFIC MONITORINGβ32Updated 4 years ago
- Long Short-Term Memory(LSTM) is a particular type of Recurrent Neural Network(RNN) that can retain important information over time using β¦β34Updated 7 months ago
- This Adaptive Traffic Signal Timer uses live images from the cameras at traffic junctions for real-time traffic density calculation usingβ¦β187Updated 2 years ago
- The name says everything...β24Updated 2 years ago
- Vehicle detection and tracking using deep learning and computer vision.β12Updated 4 years ago
- This GitHub repo hosts an RL-based Traffic Light Control System (TLCS) for optimizing intersections. Employing Reinforcement Learning, itβ¦β10Updated last year
- We developed a system that leverages on YOLO Machine Learning Model for managing the traffic flow based on the vehicle density.β58Updated 4 years ago
- CNN Based model to classify Plant Leaf Diseases. Used Flask for the front-end and hosted on Heroku.β27Updated last year
- A simulation developed from scratch using Pygame to simulate a 4-way traffic intersection having traffic lights with timer.β65Updated 4 years ago
- The name says everything...β55Updated 4 years ago
- The Smart Security System For Homes using Internet of Things has been experimentally proven to work satisfactorily by connecting simple aβ¦β15Updated 2 years ago
- Smart Traffic Light Management System employs SUMO and reinforcement learning to dynamically optimize signal timings, reducing congestionβ¦β20Updated last year
- AI Powered Smart Farming Assistant uses advanced technology, including machine learning and CNNs, to provide farmers with crop recommendaβ¦β26Updated 4 months ago
- Electric Vehicle Routing Problemβ33Updated 4 years ago
- Final Year Project in Computer Vision that detects and reports traffic violations for safety purposes.β41Updated 2 years ago
- The project aims to develop models that can forecast traffic congestion, aiding in effective traffic management and planning.β12Updated 3 years ago
- Predicting the energy consumption of EVs using the RNN and LSTM. Competencies: Machine Learning, RNN, SUMO Simulation. Python Libraries: β¦β18Updated 4 years ago
- Electric Vehicle Market Segmentation Analysis in Indiaβ14Updated 3 months ago
- Final Year Project on Road Accident Prediction using user's Location,weather conditions by applying machine Learning concepts.β83Updated 5 years ago
- β17Updated 3 years ago
- optimizing locations of electric vehicle charging stations in the city of Torontoβ30Updated 2 years ago
- This project is about the use of edge inference for counting number of cars from all directions on a traffic light to decide the red and β¦β65Updated 4 years ago
- An analysis of electric vehicle charging times given usage dataβ12Updated 8 years ago
- Traffic Congestion Prediction System using Data Miningβ12Updated 5 years ago
- It's an end-to-end Machine Learning Project. The prediction has been done by using Machine Learning (ML) classification algorithms and itβ¦β11Updated 2 years ago
- Final year project.β100Updated 4 years ago
- A web application that predicts if a patient has cancer, diabetes, heart disease, kidney disease, and liver disease based on machine learβ¦β33Updated 2 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 β¦β208Updated 6 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-Rampsβ¦β21Updated 10 years ago