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  • Development of a Crash Prediction Model for Signalized T-Intersections in Queensland, Australia

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    Karki_2014_02Thesis.pdf (1.964Mb)
    Author(s)
    Karki, Bipin
    Primary Supervisor
    Panuwatwanich, Kriengsak
    Mohamed, Sherif
    Qu, Xiaobo
    Other Supervisors
    Parajuli, Partha
    Nepal, Kali
    Year published
    2014
    Metadata
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    Abstract
    Vehicle crashes at signalized intersections have long been of utmost concern to the transport authorities. Some researchers have developed crash prediction models (CPMs) for roundabouts in Queensland to establish the relationship among crashes, geometric parameters, and traffic conditions. However, to date, no CPM has been developed for the signalized intersections in Queensland. In this dissertation, two CPMs for signalized T-intersections in Queensland, Australia are developed: a CPM at intersection level and a CPM at approach level. The proposed models can be used for better control/organization of the traffic and design ...
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    Vehicle crashes at signalized intersections have long been of utmost concern to the transport authorities. Some researchers have developed crash prediction models (CPMs) for roundabouts in Queensland to establish the relationship among crashes, geometric parameters, and traffic conditions. However, to date, no CPM has been developed for the signalized intersections in Queensland. In this dissertation, two CPMs for signalized T-intersections in Queensland, Australia are developed: a CPM at intersection level and a CPM at approach level. The proposed models can be used for better control/organization of the traffic and design intersection geometry/layout. After the introduction to the dissertation and overview of the relevant research, a geographic information system (GIS)-based spatial database is established in Chapter 3 to visualize the crash records in south-east Queensland. Further, a crash assignment model is developed to assign crashes at signalized T-intersections to distinct approaches on the basis of the GIS-based spatial database. In Chapter 4, a CPM at intersection level is developed to predict the crashes at intersections, given the geometric parameters and traffic conditions. It should be pointed out that the number of lanes, merging angle, and existence of slip lanes are found to be significantly related to crashes.
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    Thesis Type
    Thesis (Masters)
    Degree Program
    Master of Philosophy (MPhil)
    School
    Griffith School of Engineering
    DOI
    https://doi.org/10.25904/1912/3211
    Copyright Statement
    The author owns the copyright in this thesis, unless stated otherwise.
    Item Access Status
    Public
    Subject
    Motor vehicle accidents
    Vehicle crashes
    crash prediction models (CPMs)
    Signalized T-intersections in
    Publication URI
    http://hdl.handle.net/10072/365442
    Collection
    • Theses - Higher Degree by Research

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