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Modelling freeway networks by hybrid stochastic models

Boel, R. and Mihaylova, L. (2004) Modelling freeway networks by hybrid stochastic models. In: Intelligent Vehicles Symposium, 2004 IEEE. UNSPECIFIED, 182 - 187. ISBN 0-7803-8311-7

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    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.

    Item Type: Contribution in Book/Report/Proceedings
    Additional Information: pp. 182-187 IEEE catalog number: 04TH8730C ISBN: 0-7803-8311-7 doi:10.1109/IVS.2004.1336378
    Uncontrolled Keywords: vehicular traffik ; aggregated models ; METANET ; compositional model DCS-publications-id ; inproc-430 ; DCS-publications-credits ; dsp ; DCS-publications-personnel-id ; 121
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Departments: Faculty of Science and Technology > School of Computing & Communications
    ID Code: 4364
    Deposited By: Dr L Mihaylov
    Deposited On: 07 Mar 2008 15:03
    Refereed?: No
    Published?: Published
    Last Modified: 17 Sep 2013 09:30
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/4364

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