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Resilience of Trafﬁc Networks under Non-Equilibrium Learning

The dataset used in the paper is a transportation network, which is a directed, finite, and connected graph G = (V, E) without self-loops. The vertices V represent road junctions, and the edges E represent road segments. The set of distinct origin-destination (OD) pairs is W ⊆ V × V, indexed by w, with cardinality W.

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Cite this as

Yunian Pan, Tao Li, Quanyan Zhu (2024). Dataset: Resilience of Trafﬁc Networks under Non-Equilibrium Learning. https://doi.org/10.57702/w5dyl3my

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2210.03214
Author	Yunian Pan
More Authors	Tao Li Quanyan Zhu