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Drivers’ lane utilization for UK motorways

Yousif, S, Al-Obaedi, JTS and Henson, RR 2012, 'Drivers’ lane utilization for UK motorways' , Journal of Transportation Engineering . (In Press)

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    Abstract

    Lane utilization represents how the rate of traffic flow is distributed among the available number of lanes in a given section. This utilization or split is affected by several factors including traffic flow rates as well as the presence and amount of heavy goods vehicles within the traffic. The importance of studying lane utilization comes from the fact that it is one of the input parameters for any traffic micro-simulation models which are increasingly being used in order to assess and suggest solutions for traffic problems. This paper uses two sources of data to model lane utilization including "Motorway Incident detection and Automatic Signaling" MIDAS data and individual vehicles raw data. The latter source of data is specifically used to model how heavy goods vehicles (HGVs) are distributed between motorway lanes as flow increases since MIDAS data does not specify the proportions of HGVs by lanes. It is found that the developed models could represent real data in a more efficient way than other previous models. The development of lane utilization models for HGV traffic will help in providing more realistic predictions of traffic behavior when represented by micro-simulation models and in the assessment of such commercial vehicles using the lanes when it comes to pavement design.

    Item Type: Article
    Themes: Subjects outside of the University Themes
    Schools: Colleges and Schools > College of Science & Technology
    Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Civil Engineering Research Centre
    Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering
    Journal or Publication Title: Journal of Transportation Engineering
    Publisher: American Society of Civil Engineers
    Refereed: Yes
    ISSN: 0733-947X
    Funders: Non funded research
    Depositing User: S Yousif
    Date Deposited: 18 Dec 2012 13:22
    Last Modified: 19 Aug 2014 13:24
    URI: http://usir.salford.ac.uk/id/eprint/27363

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