MoViT: the mobile network virtualized testbed. - Eugenio Giordano; Lara Codecà; Brian Geffon; Giulio Grassi; Giovanni Pau 001; Mario Gerla (VANET@MOBICOM, 2012)

Improving traffic in urban environments applying the Wardrop equilibrium. - Lara Codeca; Raphaël Frank; Thomas Engel 001 (ICNP, 2013)

On the evaluation of make-before-break handovers in urban WiFi networks for moving vehicles. - Maximilien Mouton; German Castignani; Raphaël Frank; Lara Codeca; Thomas Engel 001 (WONS, 2013)

Traffic routing in urban environments: The impact of partial information. - Lara Codecà; Raphaël Frank; Thomas Engel 001 (ITSC, 2014)

A Car Hacking Experiment: When Connectivity Meets Vulnerability. - Sasan Jafarnejad; Lara Codeca; Walter Bronzi; Raphaël Frank; Thomas Engel 001 (GLOBECOM Workshops, 2015)

Luxembourg SUMO Traffic (LuST) Scenario: 24 hours of mobility for vehicular networking research. - Lara Codeca; Raphaël Frank; Thomas Engel 001 (VNC, 2015)

Towards multimodal mobility simulation of C-ITS: The Monaco SUMO traffic scenario. - Lara Codeca; Jérôme Härri (VNC, 2017)

Luxembourg SUMO Traffic (LuST) Scenario: Traffic Demand Evaluation. - Lara Codeca; Raphaël Frank; Sébastien Faye; Thomas Engel 001 (IEEE Intell. Transp. Syst. Mag., 2017)

A SUMO-Based Parking Management Framework for Large-Scale Smart Cities Simulations. - Lara Codeca; Jakob Erdmann; Jérôme Härri (VNC, 2018)

IoT and Microservices Based Testbed for Connected Car Services. - Soumya Kanti Datta; Mohammad Irfan Khan; Lara Codeca; Benoît Denis; Jérôme Härri; Christian Bonnet (WOWMOM, 2018)

DEMO - A Simulation Framework for Multi-modal Commuting and Parking Optimization. - Lara Codeca; Jérôme Härri; Jakob Erdmann (SUMO, 2019)

SAGA: An Activity-based Multi-modal Mobility ScenarioGenerator for SUMO. - Lara Codeca; Jakob Erdmann; Vinny Cahill; Jérôme Härri (SUMO, 2020)

Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control. - Tianshu Chu; Jie Wang 006; Lara Codecà; Zhaojian Li (IEEE Trans. Intell. Transp. Syst., 2020)

Comparing Multi-Modal Traffic Assignments in Large-Scale Simulations using the Macroscopic Fundamental Diagram: Mode Shift from Cars to Powered Two Wheelers. - Lara Codecà; Francesco Viti; Vinny Cahill; Jérôme Härri (MT-ITS, 2021)

Using Deep Reinforcement Learning to Coordinate Multi-Modal Journey Planning with Limited Transportation Capacity. - Lara Codeca; Vinny Cahill (SUMO, 2021)