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Developing a methodology for network simulation

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Colin Arrowsmith1, Bob Itami2 and Silvester (Sungchan) Kim1 ... physical constraints results in loss of amenity and threats to safety ... – PowerPoint PPT presentation

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Title: Developing a methodology for network simulation


1
Developing a methodology for network simulation
  • ESpace Conference
  • Naples and Benevento June 2005
  • Colin Arrowsmith1, Bob Itami2 and Silvester
    (Sungchan) Kim1
  • 1Department of Geospatial Science, RMIT
    University
  • 2GeoDimensions Pty. Ltd.

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Methodology objectives
  • to understand spatial behaviour of mobile objects
    along networks
  • to develop typical itineraries for various types
    of mobile objects
  • to model mobile objects along networks given
    differing environmental conditions

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Rationale
  • predicted increases in traffic flow along
    networks
  • physical constraints results in loss of amenity
    and threats to safety
  • need to test management options under differing
    scenarios

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Methodology
  • develop inventory of network
  • survey design - detection, observation and
    recording of mobile objects
  • developing typical itineraries for dynamic
    objects
  • spatial analyses of movements
  • identification of types of dynamic objects
  • modelling movements

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Develop inventory
  • base spatial information acts as datum for
    analyses and modelling

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Survey design attributes required
  • position
  • duration
  • sequence or itinerary
  • flow
  • speed and orientation
  • type of object

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Survey techniques
  • questionnaire and interviewing
  • video monitoring
  • detectors and sensors
  • tracking mechanisms including GPS

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Itinerary determination
  • identify network sequences
  • classify network sequences
  • statistical probability analyses

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Spatial analyses
  • extract topological linkages
  • apply segmentation for analyses
  • duration
  • velocity
  • diurnal patterns

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Classification of types
  • classification of object types using
  • cluster or
  • data mining techniques
  • direct observation

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Simulating movements and behaviour
  • agent-modelling
  • autonomous agents
  • linked to GIS
  • agent-rules
  • wayfinding

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Case study 1 Loch Ard Gorge
  • objective
  • to identify typical spatial behaviour patterns at
    a popular tourist attraction
  • rationale
  • increased visitation to tourist sites with
    constrained physical parameters

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Develop inventory for Loch Ard Gorge
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Attractions
  • 26 point attractions
  • lookouts
  • river
  • car parks

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Survey design
  • GPS survey
  • questionnaire survey

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The GPS receivers used
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GPS survey attributes

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Topological linkages

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Describing spatial-temporal data
  • development of regions to assist in describing
    movement patterns

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Nodes visited
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Visitor typologies
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Simulation modelling
  • RBSim3 is a computer model
  • maintains a database of visitor experiences
    through a simulation
  • itinerary can be built for an agent
  • agent movement is modified by the changing
    conditions of a network

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RBSim Simulator
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Case study 2 River Traffic Study
  • objectives
  • rationale

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Objectives
  • to determine the capacity of the Yarra and
    Maribyrnong rivers to meet growing demands
  • identify management systems and infrastructure to
    control boat traffic in a safe and sustainable
    manner
  • develop a management strategy to control river
    traffic

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Rationale
  • broad range of users and vessels with different
    patterns of use
  • knowledge of impacts of different watercraft on
    environmental and social conditions is uncertain
  • volumes of traffic predicted to increase
    substantially
  • capacity of river has not been defined

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Inventory development
  • river depth
  • bank conditions
  • land and water facilities
  • adjacent land use

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Inventory development
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Survey design
  • interviews with user groups
  • new river counts
  • published schedules
  • GPS tracking

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GPS Tracking
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Topological linkages
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Patterns of movement
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Boat types
  • rowing boats
  • commercial craft
  • government vessels
  • motor charter
  • tug boats
  • motor private
  • ship
  • non-motor sail
  • sail under motor
  • non-motor oar
  • non-motor paddle

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Conclusions
  • developed a consistent methodology that can be
    applied to model mobile objects along different
    networks under different management scenarios

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