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.
NTCIP 1202 traffic-signal attack lab: emulated controller + SUMO intersection. snmpset commands drive a live SUMO-GUI window.
Design and Control Co-Optimization for Urban Streets Using Reinforcement Learning
This is a repository for my Masters Thesis called Cognitive technologies in traffic light control.
Hard real-time traffic light controller in C11 driving a SUMO simulation over TraCI: SCHED_FIFO tasks, measured emergency-vehicle preemption, and the schedulability analysis behind it
An AI-driven Adaptive Traffic Signal Control System (ATSCS) that replaces static timers with dynamic green-light phases. Utilizes YOLOv8 for real-time vehicle density estimation and multi-class classification, achieving 96.4% mAP. Optimized for low-latency inference (>30 FPS) on edge devices to reduce urban congestion and commuter wait times.
ASTRA — Automated Simulation of TRAnsportation networks for SUMO. Build networks, calibrate demand, and run traffic simulations.
A novel modification to existing k-shortest path algorithms which re-routes drivers with regard to reducing average travel time whilst maintaining fairness
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