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Quasi-Dynamic Traffic Assignment using High Performance Computing.

, , , , , , , и . CoRR, (2021)

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Eckart Theophile

Théophile Trunck

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Théophile Lamah

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Solving N-player dynamic routing games with congestion: a mean field approach., , , , , , , , , и . CoRR, (2021)Scalable Deep Reinforcement Learning Algorithms for Mean Field Games., , , , , , , , , и 1 other автор(ы). CoRR, (2022)Sensitivity analysis and relaxation of the Static Traffic Assignment Problem with Capacity Constraints., , , , , и . CDC, стр. 2214-2219. IEEE, (2019)The impact of information-aware routing on road traffic, from case studies to game-theoretical analysis and simulations. University of California, Berkeley, USA, (2022)Quantifying the sustainability impact of Google Maps: A case study of Salt Lake City., , , , , , , , и . CoRR, (2021)Regrets in Routing Networks: Measuring the Impact of Routing Apps in Traffic., , , и . ACM Trans. Spatial Algorithms Syst., 5 (2): 9:1-9:19 (2019)Solving N-Player Dynamic Routing Games with Congestion: A Mean-Field Approach., , , , , , , , , и . AAMAS, стр. 1557-1559. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Measuring Regret in Routing: Assessing the Impact of Increased App Usage., , , , , , , , и . ITSC, стр. 2589-2594. IEEE, (2018)Scalable Deep Reinforcement Learning Algorithms for Mean Field Games., , , , , , , , , и 1 other автор(ы). ICML, том 162 из Proceedings of Machine Learning Research, стр. 12078-12095. PMLR, (2022)Quasi-Dynamic Traffic Assignment using High Performance Computing., , , , , , , и . CoRR, (2021)