Ibrahim Abdullahi Adinoyi, Leite Daniela, De Bacco Caterina
Max Planck Institute for Intelligent Systems, Cyber Valley, Tübingen 72076, Germany.
Phys Rev E. 2022 Jun;105(6-1):064302. doi: 10.1103/PhysRevE.105.064302.
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.
交通拥堵是交通运输行业面临的主要挑战之一。虽然这个问题带来了高昂的经济和环境成本，但在多层网络基础设施中为乘客设计高效的最优路径迫在眉睫。我们考虑一种基于最优传输理论的方法，优先引导乘客沿着比道路（如铁路）更具碳效率的层出行。通过分析这种选择对性能的影响，我们发现与最短路径最小化相比，这种方法能显著减少碳排放。同样，我们发现这种方法能更均匀地分配交通流量，从而降低交通拥堵风险。我们的研究结果揭示了在最优传输理论指导下跨层灵活分配交通流量的影响。
