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Tesi etd-09232010-161155

Thesis type
Tesi di dottorato di ricerca
Geodesics and PDE methods in transport models
Settore scientifico disciplinare
Corso di studi
tutor Prof. Buttazzo, Giuseppe
relatore Prof. Carlier, Guillaume
correlatore Prof. Santambrogio, Filippo
Parole chiave
  • optimal transport
  • traffic congestion
  • nonconvex variational problems
  • Di Perna-Lions
  • degenerate elliptic equations
  • continuity equation
  • branched transport
  • analysis in metric spaces
  • Wardrop equilibrium
Data inizio appello
Riassunto analitico
This thesis is devoted to to the study of optimal transport problems, alternative to the so called Monge-Kantorovich one: they naturally arise in some real world applications, like in the design of optimal transportation networks or in urban traffic modeling. More precisely, we consider problems where the transport cost has a nonlinear dependence on the mass: typically in this type of problems, to move a mass $m$ for a distance $\ell$ costs $\varphi(m) \ell$, where $\varphi$ is a given function, thus giving rise to a total cost of the type $\sum\varphi(m) \ell$.
Two interesting cases are widely addressed in this work: the case where $\varphi$ is subadditive (branched transport), so that masses have the interest to travel together in order to lower the total cost; the case of $\varphi$ superadditive (congested transport), where on the contrary the mass tends to be as widespread as possible.
In the case of branched transport, we introduce two new dynamical models: in the first one, the transport is described through the employ of curves of probability measures minimizing a length-type functional (with a weight function penalizing non atomic measures). On the other hand, the second model is much more in the spirit of the celebrated Benamou-Brenier formulation for Wasserstein distances: in particular, the transport is described by means of pairs ``curve of measures--velocity vector field'', satisfying the continuity equation and minimizing a suitable dynamical energy (which is a non convex one, actually). For both models we prove existence of minimal configurations and equivalence with other modelizations existing in literature.
Concerning the case of congested transport, we review in great details two already existing models, proving their equivalence: while the first one can be viewed as a Lagrangian approach to the problem and it has some interesting links with traffic equilibrium issues, the second one is a divergence-constrained convex optimization problem.
The proof of this equivalence represents the central core of the second part of the work and contains various points of interest: among them, the DiPerna-Lions theory of flows of weakly differentiable vector fields, the Dacorogna-Moser construction for transport maps and, above all, some regularity estimates (that we derive here) for a very degenerate elliptic equation, that seems to be quite unexplored.