Traffic Lights Control with Deep Learning
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Updated
Sep 9, 2022 - Python
Traffic Lights Control with Deep Learning
App for traffic control, security and smart city integration research. Detect and count vehicles from streams on traffic + Calculate and create efficient traffic light control + Secure pedestrians and cars from crashю
OpenCV Python program that identifies traffic lights and their state (red, green, yellow) from dash cam photos
The Urban Priority Pass is a fairness-enhancing traffic light controller that leverages auctions and prioritization at signalized intersections. This is the online repository to the publication in "Transportation Research Interdiscplinary Perspectives".
A traffic light detector module that utilizes Faster R-CNN ResNet101 (COCO)
A simple implementation of the Traffic Lights board game
EQ-ALINEA is a fairness-enhacing ramp metering controller for sustainable metropolitan highways.
Yolo algorithm applied on a video file so as to detect cars, traffic lights and a few other classes.
Приложение с графическим интерфейсом для тестирования работы сервиса обрабатывающего светофоры.
"Towards Optimized Traffic Light Systems using Multi-Agent Reinforcement Learning" paper code. Group project as part of my Erasmus Exchange at Aalborg Universitet, Denmark.
This is a project on Promela with using Spin verification programm
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