|Talks|

Sustainable Optimal Transport in Multilayer Networks

Visiting speaker
Virtual
Past Talk
Abdullahi Ibrahim
Ph.D. Student, Max Planck Institute (Germany)
Fri, Mar 15, 2024
5:00 PM UTC
Fri, Mar 15, 2024
5:00 PM UTC
In-person
4 Thomas More St
London E1W 1YW, UK
The Roux Institute
Room
100 Fore Street
Portland, ME 04101
Network Science Institute
2nd floor
Network Science Institute
11th floor
177 Huntington Ave
Boston, MA 02115
Room
58 St Katharine's Way
London E1W 1LP, UK

Talk recording

Traffic congestion is one of the major challenges faced by the transportation industry. While this problem carries a high economic 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 congestion. Our results shed light on the impact of distributing traffic flexibly across layers guided by optimal transport theory.
About the speaker
Abdullahi Ibrahim is a Ph.D. student at the Max Planck Institute for Intelligent Systems in Tübingen, Germany, working under the supervision of Caterina De Bacco. Abdullahi's research centers around devising innovative approaches to tackle traffic congestion. Prior to his doctoral studies, Abdullahi pursued a master's degree in Mathematics + Data Science at the African Institute for Mathematical Sciences, and a bachelor's degree in mathematics from Ekiti State University, Nigeria.
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Mar 15, 2024