Important statistical characteristics of traffic can be examined via the reconstruction of a so-called phase-space where each point in that space represents a state of traffic and vice versa. Statistical tools such as recurrence analysis can then be used to visualize the temporal evolution of traffic and to assess its non-stationarity structure as an indicator for irregular behaviour. In this paper we investigate, examine and analyze the short-term non-stationary features present in traffic flows based on the historical data available from stop-line detectors collected from a small number of intersections in the Melbourne CBD, Australia and demonstrate that recurrence analysis has considerable potential in identifying changes within the temporal behaviour of traffic.
Exploring urban traffic flow dynamics
2013-10-01
418592 byte
Conference paper
Electronic Resource
English
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