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The rapid simulation of urban traffic using field programmable gate arrays.

Russell, Gordon, Shaw, Paul, McInnes, John and Ferguson, Neil (1994) The rapid simulation of urban traffic using field programmable gate arrays. In: International Conference on Application of New Technology to Transport Systems. University of Australia, pp. 107-122. ISBN 0-86910-663-5

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    Abstract/Description

    Conventional traffic simulation techniques, employing continuous movement of vehicles, do not have a sufficiently fast responce time for the real-time operational control of an urban network. A new simulation technique is proposed using field-programmable gate arrays (FPGAs). This radical approach offers simulation at a speed orders of magnitude faster than real-time and at a significantly lower cost than simulation with parallel architectures. A discrete model of traffic movement is introduced in which the roadway is modelled as a series of connected cells, each representing a short length of roadway, which either contains a vehicle or is empty. Individual vehicles progress from cell to cell using an established protocol. It is possible to develop models of individual road links and intersections. These components have been tested under a range of typical geometric configurations and traffic loadings. The validity and tractability of these network components is demonstrated. a network can be constructed in a heirarchical fashion by compling these components together.

    This work has been funded by EPSRC Grant Number GR/J09239.

    Item Type: Book Section
    ISBN: 0-86910-663-5
    Uncontrolled Keywords: Traffic simulation; SPACE machine; FPGA;
    University Divisions/Research Centres: Faculty of Engineering, Computing and Creative Industries > School of Computing
    Dewey Decimal Subjects: 600 Technology > 620 Engineering > 621 Electronic & mechanical engineering > 621.3 Electrical & electronic engineering
    Library of Congress Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Item ID: 3191
    Depositing User: Computing Research
    Date Deposited: 06 Aug 2010 12:45
    Last Modified: 04 Jun 2014 13:32
    URI: http://researchrepository.napier.ac.uk/id/eprint/3191

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