applying multi-agent reinforcement learning for highway-merging autonomous vehicles
Containerised SUMO. Use sumo, sumo-gui and TraCI with Docker. 🐳 🚗
A model problem for big data self adaptive systems using SUMO and TraCI
The Decentralized Autonomous Vehicles project connects self-driving vehicles on a blockchain network, enabling secure real-time decision-making. It leverages decentralized nature, incident data sharing, and Vehicular IoT/VANET technology to enhance vehicle autonomy and ensure data security and privacy.
DRIVE: A Digital Network Oracle for Cooperative Intelligent Transportation Systems
Python Package to perform simple Traffic Interventions and run traffic simulations.
Native macOS GUI for Eclipse SUMO simulations, built with SwiftUI, Metal, and TraCI.
Design and Control Co-Optimization for Urban Streets Using Reinforcement Learning
NTCIP 1202 traffic-signal attack lab: emulated controller + SUMO intersection. snmpset commands drive a live SUMO-GUI window.
This is a repository for my Masters Thesis called Cognitive technologies in traffic light control.
A novel modification to existing k-shortest path algorithms which re-routes drivers with regard to reducing average travel time whilst maintaining fairness
An Intelligent Traffic Light Control system using Reinforcement Learning. Compares Deep Q-Network (DQN) and Tabular Q-Learning to optimize traffic flow in SUMO simulator.
Agent skill and checklist for auditing SUMO/TraCI traffic signal control experiments.
EQ-ALINEA is a fairness-enhacing ramp metering controller for sustainable metropolitan highways.
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