Analyzing the Cascading Structure of Traffic Congestion in New York City Taxi Networks
نویسندگان
چکیده
In this paper, we use New York City taxi trip data from 2013 and attempt to predict congestion at specific locations in the city at a given time. This paper contains the following three contributions: 1) A method for organizing origin-destination trip data and representing it as a graph; 2) Metrics that that represent congestion at a given location, including whether that location causes (injects) or improves (absorbs) traffic; 3) An attempt to predict congestion at time t + 1 at a given node with data about congestion at time t. While we successfully represent the taxi data and measure congestion, our predictive model is generally unsuccessful with an R value close to zero.
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