Exploring urban traffic flow dynamics

Adam Malcontenti-Wilson, Hai L. Vu, Peter Cadusch, Philip Branch, Hans Van Lint, Serge Hoogendoorn

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)


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.

Original languageEnglish
Title of host publication2013 16th International IEEE Conference on Intelligent Transportation Systems
Subtitle of host publicationIntelligent Transportation Systems for All Modes, ITSC 2013
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages6
ISBN (Print)9781479929146
Publication statusPublished - 2013
Externally publishedYes
EventIEEE Conference on Intelligent Transportation Systems 2013 - The Hague, Netherlands
Duration: 6 Oct 20139 Oct 2013
Conference number: 16th


ConferenceIEEE Conference on Intelligent Transportation Systems 2013
Abbreviated titleITSC 2013
CityThe Hague

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