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.
- Received 3 March 2017
DOI:https://doi.org/10.1103/PhysRevE.96.030101
©2017 American Physical Society
Physics Subject Headings (PhySH)
Synopsis
Subway Stats
Published 5 September 2017
A comparison of the arrival-time statistics of New York City’s subway trains indicates that some train lines may be more efficiently run than others.
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