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A compositional stochastic model for real-time freeway traffic simulation.

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A compositional stochastic model for real-time freeway traffic simulation. / Boel, R.; Mihaylova, Lyudmila.
In: Transportation Research Part B: Methodological, Vol. 40, No. 4, 05.2006, p. 319-334.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Boel, R & Mihaylova, L 2006, 'A compositional stochastic model for real-time freeway traffic simulation.', Transportation Research Part B: Methodological, vol. 40, no. 4, pp. 319-334. https://doi.org/10.1016/j.trb.2005.001

APA

Boel, R., & Mihaylova, L. (2006). A compositional stochastic model for real-time freeway traffic simulation. Transportation Research Part B: Methodological, 40(4), 319-334. https://doi.org/10.1016/j.trb.2005.001

Vancouver

Boel R, Mihaylova L. A compositional stochastic model for real-time freeway traffic simulation. Transportation Research Part B: Methodological. 2006 May;40(4):319-334. doi: 10.1016/j.trb.2005.001

Author

Boel, R. ; Mihaylova, Lyudmila. / A compositional stochastic model for real-time freeway traffic simulation. In: Transportation Research Part B: Methodological. 2006 ; Vol. 40, No. 4. pp. 319-334.

Bibtex

@article{ab3cb75bafd04199af7d16103024111d,
title = "A compositional stochastic model for real-time freeway traffic simulation.",
abstract = "Traffic flow on freeways is a non-linear, many-particle phenomenon, with complex interactions between vehicles. This paper presents a stochastic model of freeway traffic at a time scale and of a level of detail suitable for on-line estimation, routing and ramp metering control. The freeway is considered as a network of interconnected components, corresponding to one-way road links consisting of consecutively connected short sections (cells). The compositional model proposed here extends the Daganzo cell transmission model by defining sending and receiving functions explicitly as random variables, and by also specifying the dynamics of the average speed in each cell. Simple stochastic equations describing the macroscopic traffic behavior of each cell, as well as its interaction with neighboring cells are obtained. This will allow the simulation of quite large road networks by composing many links. The model is validated over synthetic data with abrupt changes in the number of lanes and over real traffic data sets collected from a Belgian freeway.",
keywords = "Macroscopic traffic models, Freeway traffic, Stochastic systems, Sending and receiving functions, DCS-publications-id, art-752, DCS-publications-personnel-id, 121",
author = "R. Boel and Lyudmila Mihaylova",
note = "The final, definitive version of this article has been published in the Journal, Transportation Research Part B -- Methodological. 40 (4), 2006, {\textcopyright} ELSEVIER.",
year = "2006",
month = may,
doi = "10.1016/j.trb.2005.001",
language = "English",
volume = "40",
pages = "319--334",
journal = "Transportation Research Part B: Methodological",
issn = "0191-2615",
publisher = "PERGAMON-ELSEVIER SCIENCE LTD",
number = "4",

}

RIS

TY - JOUR

T1 - A compositional stochastic model for real-time freeway traffic simulation.

AU - Boel, R.

AU - Mihaylova, Lyudmila

N1 - The final, definitive version of this article has been published in the Journal, Transportation Research Part B -- Methodological. 40 (4), 2006, © ELSEVIER.

PY - 2006/5

Y1 - 2006/5

N2 - Traffic flow on freeways is a non-linear, many-particle phenomenon, with complex interactions between vehicles. This paper presents a stochastic model of freeway traffic at a time scale and of a level of detail suitable for on-line estimation, routing and ramp metering control. The freeway is considered as a network of interconnected components, corresponding to one-way road links consisting of consecutively connected short sections (cells). The compositional model proposed here extends the Daganzo cell transmission model by defining sending and receiving functions explicitly as random variables, and by also specifying the dynamics of the average speed in each cell. Simple stochastic equations describing the macroscopic traffic behavior of each cell, as well as its interaction with neighboring cells are obtained. This will allow the simulation of quite large road networks by composing many links. The model is validated over synthetic data with abrupt changes in the number of lanes and over real traffic data sets collected from a Belgian freeway.

AB - Traffic flow on freeways is a non-linear, many-particle phenomenon, with complex interactions between vehicles. This paper presents a stochastic model of freeway traffic at a time scale and of a level of detail suitable for on-line estimation, routing and ramp metering control. The freeway is considered as a network of interconnected components, corresponding to one-way road links consisting of consecutively connected short sections (cells). The compositional model proposed here extends the Daganzo cell transmission model by defining sending and receiving functions explicitly as random variables, and by also specifying the dynamics of the average speed in each cell. Simple stochastic equations describing the macroscopic traffic behavior of each cell, as well as its interaction with neighboring cells are obtained. This will allow the simulation of quite large road networks by composing many links. The model is validated over synthetic data with abrupt changes in the number of lanes and over real traffic data sets collected from a Belgian freeway.

KW - Macroscopic traffic models

KW - Freeway traffic

KW - Stochastic systems

KW - Sending and receiving functions

KW - DCS-publications-id

KW - art-752

KW - DCS-publications-personnel-id

KW - 121

U2 - 10.1016/j.trb.2005.001

DO - 10.1016/j.trb.2005.001

M3 - Journal article

VL - 40

SP - 319

EP - 334

JO - Transportation Research Part B: Methodological

JF - Transportation Research Part B: Methodological

SN - 0191-2615

IS - 4

ER -