Monge–Kantorovich interpolation with constraints and application to a parking problem
Interfaces and free boundaries, Tome 26 (2024) no. 2, pp. 283-320

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We consider optimal transport problems where the cost for transporting a given probability measure μ0​ to another one (μ1​) consists of two parts: the first one measures the transportation from μ0​ to an intermediate (pivot) measure μ to be determined (and subject to various constraints), and the second one measures the transportation from μ to μ1​. This leads to Monge–Kantorovich interpolation problems under constraints for which we establish various properties of the optimal pivot measures μ. Considering the more general situation where only some part of the mass uses the intermediate stop leads to a mathematical model for the optimal location of a parking region around a city. Numerical simulations, based on entropic regularization, are presented both for the optimal parking regions and for Monge–Kantorovich constrained interpolation problems.
DOI : 10.4171/ifb/514
Classification : 49Q22, 49J45, 49M29, 49K99
Mots-clés : optimal transport, Monge–Kantorovich distance, measure interpolation, optimal parking regions

Giuseppe Buttazzo  1   ; Guillaume Carlier  2   ; Katharina Eichinger  3

1 Università di Pisa, Italy
2 Université Paris Dauphine-PSL, Paris Cedex 16, France; Inria, Paris, France
3 École Polytechnique, Palaiseau Cedex, France
Giuseppe Buttazzo; Guillaume Carlier; Katharina Eichinger. Monge–Kantorovich interpolation with constraints and application to a parking problem. Interfaces and free boundaries, Tome 26 (2024) no. 2, pp. 283-320. doi: 10.4171/ifb/514
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     title = {Monge{\textendash}Kantorovich interpolation with constraints and application to a parking problem},
     journal = {Interfaces and free boundaries},
     pages = {283--320},
     year = {2024},
     volume = {26},
     number = {2},
     doi = {10.4171/ifb/514},
     url = {http://geodesic.mathdoc.fr/articles/10.4171/ifb/514/}
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