An interval compositional vehicular traffic model for real-time applications

Gning, A. and Mihaylova, L. and Boel, R. (2008) An interval compositional vehicular traffic model for real-time applications. In: 2008 IEEE Intelligent Vehicles Symposium, 2008-06-04 - 2008-06-06.

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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.

Item Type:

Contribution to Conference (Poster)

Journal or Publication Title:

2008 IEEE Intelligent Vehicles Symposium

Additional Information:

"©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."

Uncontrolled Keywords:

/dk/atira/pure/researchoutput/libraryofcongress/qa75

Subjects:

?? interval analysismacriscopic traffic modelsvehicular trafficstochastic compositional traffic model dcs-publications-idinproc-563dcs-publications-creditsdsp-fadcs-publications-personnel-id121144qa75 electronic computers. computer science ??

Departments:

Faculty of Science and Technology > School of Computing & Communications

ID Code:

9416

Deposited By:

Dr L Mihaylov

Deposited On:

09 Jun 2008 08:31

Refereed?:

Yes

Published?:

Published

Last Modified:

02 Oct 2024 00:33

URI:

https://eprints.lancs.ac.uk/id/eprint/9416