lcodeca
You can find me on Mattermost ECLIPSE in the SUMO channel: https://mattermost.eclipse.org/eclipse/messages/@lara.codeca
Trinity College DublinIreland
Pinned Repositories
deeprl_signal_control
multi-agent deep reinforcement learning for large-scale traffic signal control.
dotfiles
LuSTScenario
Luxembourg SUMO Traffic (LuST) Scenario
MoSTScenario
Monaco SUMO Traffic (MoST) Scenario
persuasive
“Persuasive”: Crowdsensing-enabled Dynamic Traffic Congestion Mitigation Strategies for Large-Scale Social Events
PyPML
Python Parking Monitoring Library for SUMO
random-grid-sumo
SUMO Scenario - Random Grid environment with parking areas and public transports (metro and bus). 24h mobility based on SAGA activity-based mobility generator.
rllibsumodocker
Docker environment for RLLIB+SUMO Utils python library.
rllibsumoutils
Python3 library able to connect the RLLIB framework with the SUMO simulator.
SUMOActivityGen
An Activity-based Multi-modal Mobility Scenario Generator for SUMO. This project is available in the Eclipse SUMO contributed tools section (https://github.com/eclipse/sumo/tree/master/tools/contributed) under the name SAGA (SUMO Activity GenerAtion).
lcodeca's Repositories
lcodeca/LuSTScenario
Luxembourg SUMO Traffic (LuST) Scenario
lcodeca/MoSTScenario
Monaco SUMO Traffic (MoST) Scenario
lcodeca/SUMOActivityGen
An Activity-based Multi-modal Mobility Scenario Generator for SUMO. This project is available in the Eclipse SUMO contributed tools section (https://github.com/eclipse/sumo/tree/master/tools/contributed) under the name SAGA (SUMO Activity GenerAtion).
lcodeca/rllibsumoutils
Python3 library able to connect the RLLIB framework with the SUMO simulator.
lcodeca/PyPML
Python Parking Monitoring Library for SUMO
lcodeca/rllibsumodocker
Docker environment for RLLIB+SUMO Utils python library.
lcodeca/persuasive
“Persuasive”: Crowdsensing-enabled Dynamic Traffic Congestion Mitigation Strategies for Large-Scale Social Events
lcodeca/random-grid-sumo
SUMO Scenario - Random Grid environment with parking areas and public transports (metro and bus). 24h mobility based on SAGA activity-based mobility generator.
lcodeca/deeprl_signal_control
multi-agent deep reinforcement learning for large-scale traffic signal control.
lcodeca/dotfiles
lcodeca/LuSTLTE
LuST + VeinsLTE
lcodeca/persuasive-devel
Persuasive project development environment
lcodeca/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
lcodeca/results
lcodeca/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
lcodeca/sumo
SUMO is an open source, highly portable, microscopic and continuous road traffic simulation package designed to handle large road networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
lcodeca/TraLAMA
The TraLAMA plugin for JOSM allows the user to export the displayed OpenStreetMap data to the traffic simulation platform SUMO, run a traffic simulation and view the results in JOSM as additional layers.
lcodeca/TuSTScenario