Automatic identification of near-stationary traffic states based on the PELT changepoint detection

Qinglong Yan, Zhe Sun, Qijian Gan and Wen-Long Jin

Transportation Research Part B: Methodological, 2018, vol. 108, issue C, 39-54

Abstract: The existence of stationary states during peak periods has been an underlying assumption of many studies on analysis, operations, control, and management of transportation networks. In Cassidy (1998), a method was proposed to manually identify near-stationary states by visually inspecting transformed curves of cumulative total vehicle counts and occupancies. Such near-stationary states are important for calibrating fundamental diagrams, identifying active bottlenecks and incidents, and quantifying capacity drop magnitudes. To the best of our knowledge, however, there lacks an automatic method that can be applied to efficiently identify near-stationary states from a large amount of data.

Keywords: Near-stationary states; PELT changepoint detection; Cassidy’s gap and duration criteria; Four-step identification method; Fundamental diagram calibration (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (4)

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DOI: 10.1016/j.trb.2017.12.007

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