Sustainable optimal transport in multilayer networks

Abstract

Traffic congestion is one of the major challenges faced by the transportation industry. While this problem carries a high economical and environmental cost, the need for an efficient design of optimal paths for passengers in multilayer network infrastructures is imperative. We consider an approach based on optimal transport theory to route passengers preferably along layers that are more carbon efficient than the road, e.g. rails. By analyzing the impact of this choice on performance, we find that this approach reduces carbon emissions considerably, compared to shortest-path minimization. Similarly, we find that this approach distributes traffic more homogeneously thus alleviating the risk of traffic congestions. Our results shed light on the impact of distributing traffic flexibly across layers guided by optimal transport theory.

Publication
To appear in Phys. Rev. E
Abdullahi Adinoyi Ibrahim
Abdullahi Adinoyi Ibrahim
PhD student

My research focuses on solving routing problem for transportation.

Daniela Leite
Daniela Leite
PhD student

My PhD project is at the intersection between Math and Physics. In particular, my research focuses on trying to understand the dynamical behavior and properties of routing optimization networks.

Caterina De Bacco
Caterina De Bacco
CyberValley Research Group Leader

My research focuses on understanding, optimizing and predicting relations between the microscopic and macroscopic properties of complex large-scale interacting systems.

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