A Computer Vision based Traffic Signal Violation Detection System from video footage using YOLOv3 & Tkinter. (GUI Included)
A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.
Aggregate Traffic Signal Performance Measures from ATC controller hi-res event logs.
Robust decomposition, anomaly and change point detection methods for use on automobile traffic data.
Optimizing traffic signals based on Cell Transmission Model
This model applies SARSA reinforcement learning for efficient urban traffic and pedestrian management, incorporating simulation, algorithmic implementation, and evaluation to enhance safety and reduce congestion.
In this project, a single device which can control a cross-road traffic. A traffic police can control a cross-road using this.
A Traffic Lights Simulation App with Core Data SwiftUI with two Screens one for Simulation and the second one is for History of events and timestamp of light changes.
The provided Blazor code implements a Traffic Signal Management system featuring two sections: the Traffic Analyzer and Global Configuration. The Traffic Analyzer displays real-time traffic information, including current and next open directions, remaining time, and selected direction, with dynamically changing button colors indicating intervals.
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