Ireland

Lara Codeca

Elite
@lcodeca

You can find me on Mattermost ECLIPSE in the SUMO channel: https://mattermost.eclipse.org/eclipse/messages/@lara.codeca

www.researchgate.net/profile/Lara_Codeca

LuSTScenario. Luxembourg SUMO Traffic (LuST) Scenario

115

MoSTScenario. Monaco SUMO Traffic (MoST) Scenario

104

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).

40

rllibsumoutils. Python3 library able to connect the RLLIB framework with the SUMO simulator.

27

PyPML. Python Parking Monitoring Library for SUMO

20

rllibsumodocker. Docker environment for RLLIB+SUMO Utils python library.

4

persuasive. “Persuasive”: Crowdsensing-enabled Dynamic Traffic Congestion Mitigation Strategies for Large-Scale Social Events

1

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.

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