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Modelling freeway networks by hybrid stochastic models

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Modelling freeway networks by hybrid stochastic models. / Boel, R.; Mihaylova, L.
Intelligent Vehicles Symposium, 2004 IEEE. 2004. p. 182 - 187 .

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Boel, R & Mihaylova, L 2004, Modelling freeway networks by hybrid stochastic models. in Intelligent Vehicles Symposium, 2004 IEEE. pp. 182 - 187 , IEEE Intelligent Vehicle Symposium, Parma, Italy, 14/06/04. https://doi.org/10.1109/IVS.2004.1336378

APA

Boel, R., & Mihaylova, L. (2004). Modelling freeway networks by hybrid stochastic models. In Intelligent Vehicles Symposium, 2004 IEEE (pp. 182 - 187 ) https://doi.org/10.1109/IVS.2004.1336378

Vancouver

Boel R, Mihaylova L. Modelling freeway networks by hybrid stochastic models. In Intelligent Vehicles Symposium, 2004 IEEE. 2004. p. 182 - 187 doi: 10.1109/IVS.2004.1336378

Author

Boel, R. ; Mihaylova, L. / Modelling freeway networks by hybrid stochastic models. Intelligent Vehicles Symposium, 2004 IEEE. 2004. pp. 182 - 187

Bibtex

@inproceedings{4821f8b91887414cab7b6a081b33bf26,
title = "Modelling freeway networks by hybrid stochastic models",
abstract = "Traffic flow on freeways is a nonlinear, many-particle phenomenon, with complex interactions between the vehicles. This paper presents a stochastic hybrid model of freeway traffic at a time scale and at a level of detail suitable for on-line flow estimation, for routing and ramp metering control. The model describes the evolution of continuous and discrete state variables. The freeway is considered as a network of components, each component representing a different section of the network. The traffic model, designed from physical considerations, comprises sending and receiving functions describing the downstream and upstream propagation of perturbations to be controlled. Results from simulation investigations illustrate the effectiveness of our model compared to the well-known METANET model.",
keywords = "vehicular traffik, aggregated models, METANET, compositional model DCS-publications-id, inproc-430, DCS-publications-credits, dsp, DCS-publications-personnel-id, 121",
author = "R. Boel and L. Mihaylova",
note = "pp. 182-187 IEEE catalog number: 04TH8730C ISBN: 0-7803-8311-7 doi:10.1109/IVS.2004.1336378; IEEE Intelligent Vehicle Symposium ; Conference date: 14-06-2004 Through 17-06-2004",
year = "2004",
month = jul,
day = "15",
doi = "10.1109/IVS.2004.1336378",
language = "English",
isbn = "0-7803-8311-7 ",
pages = "182 -- 187 ",
booktitle = "Intelligent Vehicles Symposium, 2004 IEEE",

}

RIS

TY - GEN

T1 - Modelling freeway networks by hybrid stochastic models

AU - Boel, R.

AU - Mihaylova, L.

N1 - pp. 182-187 IEEE catalog number: 04TH8730C ISBN: 0-7803-8311-7 doi:10.1109/IVS.2004.1336378

PY - 2004/7/15

Y1 - 2004/7/15

N2 - Traffic flow on freeways is a nonlinear, many-particle phenomenon, with complex interactions between the vehicles. This paper presents a stochastic hybrid model of freeway traffic at a time scale and at a level of detail suitable for on-line flow estimation, for routing and ramp metering control. The model describes the evolution of continuous and discrete state variables. The freeway is considered as a network of components, each component representing a different section of the network. The traffic model, designed from physical considerations, comprises sending and receiving functions describing the downstream and upstream propagation of perturbations to be controlled. Results from simulation investigations illustrate the effectiveness of our model compared to the well-known METANET model.

AB - Traffic flow on freeways is a nonlinear, many-particle phenomenon, with complex interactions between the vehicles. This paper presents a stochastic hybrid model of freeway traffic at a time scale and at a level of detail suitable for on-line flow estimation, for routing and ramp metering control. The model describes the evolution of continuous and discrete state variables. The freeway is considered as a network of components, each component representing a different section of the network. The traffic model, designed from physical considerations, comprises sending and receiving functions describing the downstream and upstream propagation of perturbations to be controlled. Results from simulation investigations illustrate the effectiveness of our model compared to the well-known METANET model.

KW - vehicular traffik

KW - aggregated models

KW - METANET

KW - compositional model DCS-publications-id

KW - inproc-430

KW - DCS-publications-credits

KW - dsp

KW - DCS-publications-personnel-id

KW - 121

U2 - 10.1109/IVS.2004.1336378

DO - 10.1109/IVS.2004.1336378

M3 - Conference contribution/Paper

SN - 0-7803-8311-7

SP - 182

EP - 187

BT - Intelligent Vehicles Symposium, 2004 IEEE

T2 - IEEE Intelligent Vehicle Symposium

Y2 - 14 June 2004 through 17 June 2004

ER -