Mean Field Games Modeling for Dynamic Traffic Assignment with Information
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7976-9_57
Reference17 articles.
1. Ameli, M., Faradonbeh, M. S. S., Lebacque, J. P., Abouee-Mehrizi, H., & Leclercq, L. (2022). Departure Time Choice Models in Urban Transportation Systems Based on Mean Field Games. Transportation Science.
2. Bagagiolo, F., Maggistro, R., & Pesenti, R. (2020). Origin-to-destination network flow with path preferences and velocity controls: a mean field game-like approach. arXiv:2006.09506.
3. Benamou, J. D., Carlier, G., Santambrogio, F. (2017). Variational mean field games. Active Particles, Volume 1: Advances in Theory, Models, and Applications, 141–171.
4. Cantarella, G. E., & Fiori, C. (2021). Day-to-Day Dynamic Multivehicle Assignment: Deterministic Process Models. Discrete Dynamics in Nature and Society, 2021.
5. Courmont, A., 2018. Platform, big data and the reshaping of urban government: The effects of waze on traffic regulation policies. Revue française de sociologie 59, 423–449.
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