Random matrices and the New York City subway system.
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- Record sourced from PubMed, PMID 29346909.
- Also identified by DOI 10.1103/PhysRevE.96.030101.
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Abstract
We analyze subway arrival times in the New York City subway system. We find regimes where the gaps between trains are well modeled by (unitarily invariant) random matrix statistics and Poisson statistics. The departure from random matrix statistics is captured by the value of the Coulomb potential along the subway route. This departure becomes more pronounced as trains make more stops.