An interval compositional vehicular traffic model for real-time applications

Computing and Communications

Research output: Contribution to conference - Without ISBN/ISSN › Poster › peer-review

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An interval compositional vehicular traffic model for real-time applications. / Gning, A.; Mihaylova, L.; Boel, R.
2008. Poster session presented at 2008 IEEE Intelligent Vehicles Symposium, Eindhoven, The Netherlands.

Research output: Contribution to conference - Without ISBN/ISSN › Poster › peer-review

Harvard

Gning, A , Mihaylova, L & Boel, R 2008, 'An interval compositional vehicular traffic model for real-time applications', 2008 IEEE Intelligent Vehicles Symposium, Eindhoven, The Netherlands, 4/06/08 - 6/06/08. <http://www.iv2008.utwente.nl/index.html>

APA

Gning, A., Mihaylova, L., & Boel, R. (2008). An interval compositional vehicular traffic model for real-time applications. Poster session presented at 2008 IEEE Intelligent Vehicles Symposium, Eindhoven, The Netherlands. http://www.iv2008.utwente.nl/index.html

Vancouver

Gning A , Mihaylova L, Boel R. An interval compositional vehicular traffic model for real-time applications. 2008. Poster session presented at 2008 IEEE Intelligent Vehicles Symposium, Eindhoven, The Netherlands.

Author

Gning, A. ; Mihaylova, L. ; Boel, R. / An interval compositional vehicular traffic model for real-time applications. Poster session presented at 2008 IEEE Intelligent Vehicles Symposium, Eindhoven, The Netherlands.

Bibtex

@conference{3aa79da6bb134a6d848f4f64482e1e7d,

title = "An interval compositional vehicular traffic model for real-time applications",

abstract = "This paper proposes an interval approach to vehicular traffic flow modeling. The developed interval compositional model (ICM) provides a natural way of predicting traffic flows without the assumption of uniform distribution of vehicles along the road. The model can be used for real-time prediction of traffic flows and can be part of road traffic surveillance and control systems. The approach is flexible and robust and can be used in real-time applications. Its performance is investigated and validated over real traffic data.",

keywords = "interval analysis, macriscopic traffic models, vehicular traffic, stochastic compositional traffic model DCS-publications-id, inproc-563, DCS-publications-credits, dsp-fa, DCS-publications-personnel-id, 121, 144",

author = "A. Gning and L. Mihaylova and R. Boel",

note = "{"}{\textcopyright}2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.{"} {"}This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.{"}; 2008 IEEE Intelligent Vehicles Symposium ; Conference date: 04-06-2008 Through 06-06-2008",

year = "2008",

month = jun,

day = "4",

language = "English",

}

RIS

TY - CONF

T1 - An interval compositional vehicular traffic model for real-time applications

AU - Gning, A.

AU - Mihaylova, L.

AU - Boel, R.

N1 - "©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE." "This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder."

PY - 2008/6/4

Y1 - 2008/6/4

N2 - This paper proposes an interval approach to vehicular traffic flow modeling. The developed interval compositional model (ICM) provides a natural way of predicting traffic flows without the assumption of uniform distribution of vehicles along the road. The model can be used for real-time prediction of traffic flows and can be part of road traffic surveillance and control systems. The approach is flexible and robust and can be used in real-time applications. Its performance is investigated and validated over real traffic data.

AB - This paper proposes an interval approach to vehicular traffic flow modeling. The developed interval compositional model (ICM) provides a natural way of predicting traffic flows without the assumption of uniform distribution of vehicles along the road. The model can be used for real-time prediction of traffic flows and can be part of road traffic surveillance and control systems. The approach is flexible and robust and can be used in real-time applications. Its performance is investigated and validated over real traffic data.

KW - interval analysis

KW - macriscopic traffic models

KW - vehicular traffic

KW - stochastic compositional traffic model DCS-publications-id

KW - inproc-563

KW - DCS-publications-credits

KW - dsp-fa

KW - DCS-publications-personnel-id

KW - 121

KW - 144

M3 - Poster

T2 - 2008 IEEE Intelligent Vehicles Symposium

Y2 - 4 June 2008 through 6 June 2008

ER -

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