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Traffic routing in urban environments: The impact of partial information.

, , and . ITSC, page 2511-2516. IEEE, (2014)

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Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control., , , and . CoRR, (2019)Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control., , , and . IEEE Trans. Intell. Transp. Syst., 21 (3): 1086-1095 (2020)Comparing Multi-Modal Traffic Assignments in Large-Scale Simulations using the Macroscopic Fundamental Diagram: Mode Shift from Cars to Powered Two Wheelers., , , and . MT-ITS, page 1-6. IEEE, (2021)DEMO - A Simulation Framework for Multi-modal Commuting and Parking Optimization., , and . SUMO, volume 62 of EPiC Series in Computing, page 256-257. EasyChair, (2019)A SUMO-Based Parking Management Framework for Large-Scale Smart Cities Simulations., , and . VNC, page 1-8. IEEE, (2018)SAGA: An Activity-based Multi-modal Mobility ScenarioGenerator for SUMO., , , and . SUMO, volume 1 of SUMO Conference Proceedings, page 39-58. TIB Open Publishing, (2020)IoT and Microservices Based Testbed for Connected Car Services., , , , , and . WOWMOM, page 14-19. IEEE Computer Society, (2018)Towards multimodal mobility simulation of C-ITS: The Monaco SUMO traffic scenario., and . VNC, page 97-100. IEEE, (2017)Using Deep Reinforcement Learning to Coordinate Multi-Modal Journey Planning with Limited Transportation Capacity., and . SUMO, volume 1 of SUMO Conference Proceedings, page 13-32. TIB Open Publishing, (2021)