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SAGA: An Activity-based Multi-modal Mobility ScenarioGenerator for SUMO
by
Codeca, Lara
,
Jakob ERDMANN
,
Vinny CAHILL
,
Jerome Haerri
Published in
SUMO Conference Proceedings
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Using Deep Reinforcement Learning to Coordinate Multi-Modal Journey Planning with Limited Transportation Capacity
by
Codeca, Lara
,
Cahill, Vinny
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SUMO Conference Proceedings
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A digital twin smart city for citizen feedback
by
White, Gary
,
Zink, Anna
,
Codecá, Lara
,
Clarke, Siobhán
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Cities
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Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control
by
Chu, Tianshu
,
Wang, Jie
,
Codeca, Lara
,
Li, Zhaojian
Published in
IEEE transactions on intelligent transportation systems
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Improving traffic in urban environments applying the Wardrop equilibrium
by
Codeca, Lara
,
Frank, Raphael
,
Engel, Thomas
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Conference Proceeding
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Luxembourg SUMO Traffic (LuST) Scenario: 24 hours of mobility for vehicular networking research
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Codeca, Lara
,
Frank, Raphael
,
Engel, Thomas
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Luxembourg SUMO Traffic (LuST) Scenario: Traffic Demand Evaluation
by
Codeca, Lara
,
Frank, Raphael
,
Faye, Sebastien
,
Engel, Thomas
Published in
IEEE intelligent transportation systems magazine
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Towards multimodal mobility simulation of C-ITS: The Monaco SUMO traffic scenario
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Codeca, Lara
,
Harri, Jerome
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A SUMO-Based Parking Management Framework for Large-Scale Smart Cities Simulations
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CODECA, Lara
,
ERDMANN, Jakob
,
HARRI, Jerome
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Traffic routing in urban environments: The impact of partial information
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Codeca, Lara
,
Frank, Raphael
,
Engel, Thomas
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On the evaluation of make-before-break handovers in urban WiFi networks for moving vehicles
by
Mouton, Maximilien
,
Castignani, German
,
Frank, Raphael
,
Codeca, Lara
,
Engel, Thomas
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Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control
by
Chu, Tianshu
,
Wang, Jie
,
Codecà, Lara
,
Li, Zhaojian
Published in
arXiv.org
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