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Sustainable optimal transport in multilayer networks
Abdullahi Adinoyi Ibrahim1, Daniela Leite1, Caterina De Bacco1
1Max Planck Institute for Intelligent Systems, Cyber Valley, Tübingen 72076, Germany.
Physical Review. E
|July 20, 2022
Summary
This study uses optimal transport theory to reroute passengers to more carbon-efficient transport layers, significantly cutting emissions and reducing traffic congestion for better transportation networks.
Area of Science:
- Transportation engineering
- Operations research
- Environmental science
Background:
- Traffic congestion poses significant economic and environmental challenges.
- Efficient routing in multilayer networks is crucial for sustainable transportation.
Purpose of the Study:
- To apply optimal transport theory for passenger routing in multilayer networks.
- To prioritize carbon-efficient transport layers (e.g., rail) over roads.
Main Methods:
- Utilized optimal transport theory for network flow optimization.
- Analyzed passenger routing strategies across different transport layers.
- Compared proposed method against shortest-path minimization.
Main Results:
- The optimal transport approach significantly reduced carbon emissions compared to shortest-path methods.
- Traffic distribution became more homogeneous, mitigating congestion risks.
- Demonstrated the effectiveness of flexible traffic distribution across layers.
Conclusions:
- Optimal transport theory offers a viable solution for sustainable passenger routing.
- Prioritizing carbon-efficient modes can lead to substantial environmental benefits.
- This approach enhances transportation network efficiency and reduces congestion.
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