Fuzzy Logic Enhanced Network Traffic Routing with QoS
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Updated
May 2, 2024 - Jupyter Notebook
Fuzzy Logic Enhanced Network Traffic Routing with QoS
Determining most congested streets and days in Toronto
Measure the number of inflight requests at any given time in your Node.js server.
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…
Google's TCP BBR implementation for ns2 network simulator
uTorrent Transport Protocol library
Traffic analysis using YOLOv4 and OpenCV
Tackle the problem of traffic congestion by monitoring the traffic flow and congestion and providing useful traffic congestion related information
Notebook of Lulus2021 as Finalist on DSI Hackathon 2021
Traffic, congestion and modelling graph generator for large-scale real-life maps
Sample tool to predict network traffic based on users and resource block utilization
Traffic Congestion Prediction System using Data Mining
ETSI DCC Access implementation for ns-3
Algorithms for prediction of congestion from Network State
Emulator for Testing Congestion Control Algorithms in a Dumbbell Network
A novel modification to existing k-shortest path algorithms which re-routes drivers with regard to reducing average travel time whilst maintaining fairness
This is my final year project on analysing the performance of different TCP congestion control algorithms based on extensive evaluations. Scripts and my essay on this issue are all provided for your convenience.
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