Capacity Funnel Explained Using the Human-Kinetic Traffic Flow Model

C. Tampère; S.P. Hoogendoorn; B. van Arem

doi:10.1007/3-540-28091-X_15

Capacity Funnel Explained Using the Human-Kinetic Traffic Flow Model

C. Tampère, S.P. Hoogendoorn, B. van Arem

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Traffic and Granular Flow ' 03
Editors	S.P. Hoogendoorn, S Luding, P.V.L. Bovy, M. Schreckenberg, D.E. Wolf
Place of Publication	Berlin, Heidelberg
Publisher	Springer
Pages	189-197
ISBN (Electronic)	978-3-540-28091-0
ISBN (Print)	978-3-540-25814-8, 978-3-642-06519-4
DOIs	https://doi.org/10.1007/3-540-28091-X_15
Publication status	Published - 1 Oct 2005
Externally published	Yes
Event	5th International Workshop on Traffic and Granular Flow, TGF 2003 - University of Delft, Delft, Netherlands Duration: 1 Oct 2003 → 3 Oct 2003 Conference number: 5

Conference

Conference	5th International Workshop on Traffic and Granular Flow, TGF 2003
Abbreviated title	TGF
Country/Territory	Netherlands
City	Delft
Period	1/10/03 → 3/10/03

Keywords

n/a OA procedure

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/3-540-28091-X_15

Cite this

@inproceedings{7b5d951ae0364648b4b1404d5b1eb55b,

title = "Capacity Funnel Explained Using the Human-Kinetic Traffic Flow Model",

abstract = "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 {\textquoteleft}driving styles{\textquoteright} 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 {\textquoteleft}capacity funnel{\textquoteright}, i.e. the onset of congestion typically occurs some distance downstream of the merge area.",

keywords = "n/a OA procedure",

author = "C. Tamp{\`e}re and S.P. Hoogendoorn and {van Arem}, B.",

year = "2005",

month = oct,

day = "1",

doi = "10.1007/3-540-28091-X_15",

language = "English",

isbn = "978-3-540-25814-8",

pages = "189--197",

editor = "S.P. Hoogendoorn and S Luding and P.V.L. Bovy and M. Schreckenberg and D.E. Wolf",

booktitle = "Traffic and Granular Flow ' 03",

publisher = "Springer",

address = "Germany",

note = "5th International Workshop on Traffic and Granular Flow, TGF 2003, TGF ; Conference date: 01-10-2003 Through 03-10-2003",

}

Tampère, C, Hoogendoorn, SP & van Arem, B 2005, Capacity Funnel Explained Using the Human-Kinetic Traffic Flow Model. in SP Hoogendoorn, S Luding, PVL Bovy, M Schreckenberg & DE Wolf (eds), Traffic and Granular Flow ' 03. Springer, Berlin, Heidelberg, pp. 189-197, 5th International Workshop on Traffic and Granular Flow, TGF 2003, Delft, Netherlands, 1/10/03. https://doi.org/10.1007/3-540-28091-X_15

Capacity Funnel Explained Using the Human-Kinetic Traffic Flow Model. / Tampère, C.; Hoogendoorn, S.P.; van Arem, B.
Traffic and Granular Flow ' 03. ed. / S.P. Hoogendoorn; S Luding; P.V.L. Bovy; M. Schreckenberg; D.E. Wolf. Berlin, Heidelberg: Springer, 2005. p. 189-197.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Tampère, C.

AU - Hoogendoorn, S.P.

AU - van Arem, B.

N1 - Conference code: 5

PY - 2005/10/1

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N2 - 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.

AB - 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.

KW - n/a OA procedure

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M3 - Conference contribution

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SN - 978-3-642-06519-4

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BT - Traffic and Granular Flow ' 03

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A2 - Luding, S

A2 - Bovy, P.V.L.

A2 - Schreckenberg, M.

A2 - Wolf, D.E.

PB - Springer

CY - Berlin, Heidelberg

T2 - 5th International Workshop on Traffic and Granular Flow, TGF 2003

Y2 - 1 October 2003 through 3 October 2003

ER -

Capacity Funnel Explained Using the Human-Kinetic Traffic Flow Model

Abstract

Conference

Keywords

UN SDGs

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Cite this