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

Boel, R. and Mihaylova, Lyudmila (2006) A compositional stochastic model for real-time freeway traffic simulation. Transportation Research. Part B -- Methodological., 40 (4). pp. 319-334. ISSN 0191-2615

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    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.

    Item Type: Article
    Journal or Publication Title: Transportation Research. Part B -- Methodological.
    Additional Information: The final, definitive version of this article has been published in the Journal, Transportation Research Part B -- Methodological. 40 (4), 2006, © ELSEVIER.
    Uncontrolled Keywords: Macroscopic traffic models ; Freeway traffic ; Stochastic systems ; Sending and receiving functions ; DCS-publications-id ; art-752 ; 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: 822
    Deposited By: Dr L Mihaylov
    Deposited On: 11 Dec 2007 14:23
    Refereed?: Yes
    Published?: Published
    Last Modified: 17 Sep 2013 08:24
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/822

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