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.

8 pages, 10 figures

References in corpus (6)

• Transport on coupled spatial networks
• Optimal transport in multilayer networks for traffic flow optimization
• Designing optimal networks for multi-commodity transport problem
• Multicommodity routing optimization for engineering networks
• Principled network extraction from images
• Optimally coordinated traffic diversion by statistical physics

Cited by in corpus (6)

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• Optimal transport with constraints: from mirror descent to classical mechanics
• Immiscible Color Flows in Optimal Transport Networks for Image Classification