With its antiquated trains, rusty rails and straphangers who keep the doors from closing, the New York City subway system could hardly be described as efficient. And yet, some trains arrive with a reliable regularity, following a neat statistical model similar to that seen in quantum systems. Aukosh Jagannath at the University of Toronto, Canada, and Tom Trogdon at the University of California, Irvine, used the subway system's real-time data feeds to analyze gaps between arrival times on two lines. They found that the southbound 1 line that runs down the west side of Manhattan shows what are called random matrix patterns, which are "a sign of greater efficiency," says Jagannath, who is now at Harvard University. These trains run at more regular intervals
© 2001-2024 Fundación Dialnet · Todos los derechos reservados