Systemic risk approach to mitigate delay cascading in railway networks

被引:0
|
作者
Simone Daniotti [1 ]
Vito D. P. Servedio [2 ]
Johannes Kager [1 ]
Aad Robben-Baldauf [3 ]
Stefan Thurner [3 ]
机构
[1] Complexity Science Hub,Section for Science of Complex Systems
[2] Vienna University of Technology,undefined
[3] Informatics,undefined
[4] ÖBB-Personenverkehr AG,undefined
[5] Center for Medical Statistics,undefined
[6] Informatics and Intelligent Systems (CeMSIIS),undefined
[7] Medical University of Vienna,undefined
[8] Santa Fe Institute,undefined
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D O I
10.1038/s44333-024-00012-6
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学科分类号
摘要
Delay cascades may significantly disrupt the regular operation of public transportation systems. What are the origins and processes involved in delay-spreading in public railway systems? How can delay propagation in national railway systems be efficiently managed with a minimum of effort? With a network-based systemic risk approach, we quantify the impact of trains on the system. This allows us to find which train assignments play the leading roles in transmitting delays to following trains. This identification of weak spots in the system now enables us to effectively reduce delay cascades by adding very few specific short-distance train services. Reducing delays encourages people to use public transportation, thereby lowering emissions and promoting sustainability. Agent-based simulations validate our results.
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