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Capacity Funnel Explained Using the Human-Kinetic Traffic Flow Model

In: Traffic and Granular Flow ’03

Author

Listed:
  • C. Tampère

    (TNO Inro
    Katholieke Universiteit Leuven)

  • S.P. Hoogendoorn

    (Delft University of Technology)

  • B. van Arem

    (TNO Inro)

Abstract

Summary We present a macroscopic traffic flow model that explicitly builds on continuous individual driving behaviour. Not only do we start from classical car-following rules (like the kind that are used in microscopic simulators), the model also explicitly accounts for the finite reaction times of drivers, anticipation behaviour, anisotropy in driver responses and the finite space requirement of drivers in the stream. Moreover we allow variations in driver psychology, which lets drivers adopt different ‘driving styles’ dependent on traffic conditions, like the presence of a merging zone. We illustrate the potential of such model by simulating a busy highway with an on-ramp. Plausible assumptions about driver psychology allow us to reproduce the so-called ‘capacity funnel’, i.e. the onset of congestion typically occurs some distance downstream of the merge area.

Suggested Citation

  • C. Tampère & S.P. Hoogendoorn & B. van Arem, 2005. "Capacity Funnel Explained Using the Human-Kinetic Traffic Flow Model," Springer Books, in: Serge P. Hoogendoorn & Stefan Luding & Piet H. L. Bovy & Michael Schreckenberg & Dietrich E. Wolf (ed.), Traffic and Granular Flow ’03, pages 189-197, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-28091-0_15
    DOI: 10.1007/3-540-28091-X_15
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