The MESSAGE Project Mobile Environmental Sensing System Across a Grid Environment PowerPoint PPT Presentation

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Title: The MESSAGE Project Mobile Environmental Sensing System Across a Grid Environment


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The MESSAGE ProjectMobile Environmental Sensing
System Across a Grid Environment
Professor John Polak Director, Centre for
Transport Studies Imperial College
London j.polak_at_imperial.ac.uk www.message-project.
org
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Outline
  • Background and motivation
  • Overview
  • Challenges and innovation
  • Field trials
  • Conclusion

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MESSAGE - headlines
  • 3 year project starting October 2006
  • Funded jointly by EPSRC and DfT under EPSRCs
    e-Science demonstration programme
  • 5 Universities, 19 industrial partners
  • Combination and extension of e-Science, sensor,
    communication and positioning technologies
  • New sensing infrastructure based on combination
    of ad-hoc mobile and fixed sensors

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MESSAGE collaboration
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MESSAGE - motivation
  • Urban air quality is a major policy concern,
    especially the role of road transport
  • Understanding vehicle emissions
  • Understanding human exposure
  • Managing network operations to optimise
    congestion and air quality outcomes
  • Research and practice is hampered by lack of data
    of sufficient spatial and temporal granularity
  • Opportunity to capitalise on low cost sensor,
    positioning and communications technologies

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MESSAGE overview
  • Heterogeneous fixed and mobile sensors on
    infrastructure, vehicles and people
  • Sensors communicate via wireless networks
  • Positioning via GPS wireless cellular ranging
  • Integration of processing along the data path
  • Multiple application studies in different local
    contexts

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MESSAGE multi-disciplinarity
  • MESSAGE involves integrating academic expertise
    from several disciplines
  • 1Transport network modellers
  • Air quality modellers
  • Geomatricians
  • Computer Scientists
  • Electrical Engineers
  • Sensor Developers (Physicists and Chemists)
  • Together with industry experience and tangible
    real-world applications

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MESSAGE research challenges
  • Field units
  • Sensors
  • Positioning
  • Communications
  • e-Science
  • Scalability
  • Distributed data mining
  • Online estimation of pollutant hotspots
  • Transport and environment modelling
  • Traffic management and control
  • Traveller information

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MESSAGE field units
We are deliberately deploying a variety of
different sensor, positioning and communications
technologies, to ensure that the MESSAGE system
is generic
Sensors Positioning Comms
Newcastle Electrochecmical GPS Zigbee
Cambridge Semi-conductor RSSI Cellular
Imperial GUSTO (UV) WiFi ranging WiFi
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MESSAGE e-Science challenge
  • We will build on the foundation of past e-science
    projects (DiscoveryNet and OGSA-DAI)
  • Grid-enabled sensor service (a sensor is a
    service generating data)
  • Semantically-described sensors (Sensor-ML)
  • Sensor data collection and warehousing
  • Querying distributed data storage
  • Workflow based analysis of sensor data
  • New challenge Scalable distributed analytics for
    pervasive mobile heterogeneous sensors

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MESSAGE e-Science innovation
  • Development of sensor-level protocols to support
    in-network analytics
  • Development of real-time in-network analytics
  • Associated extensions of Discovery Net to support
    in-network analytics

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MESSAGE modelling innovation
  • Existing transport and air quality models have a
    simple centralised architecture
  • Need to evolve new forms of interpretive and
    predictive transport models
  • accommodate multiple data sources and scales and
    levels of behavioural richness
  • support distributed architectures
  • Must stimulate academic and commercial innovation
    in tool and service development and deployment

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MESSAGE architecture
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MESSAGE case studies
London Gateshead Leicester Cambridge
Mobile Sensors Gusto (5-10) Motes (lt50) Motes (100) with GPS Motes (lt100) with GPS Abington (50)
Static Sensors AQM (90) Motes (200) Motes (200) AQM (5)
Main objectives RT. sensing comms RT pervasive sensing comms RT pervasive sensing comms RT info on exposure
Dynamic Env. Modelling Integrate data-bases/models Integrate with Leicester UTC Integrate with TIME-EACM
Information Traffic control Smart market demand mgt. Real-Time control Mobile phone network
Parameters measured CO, CO2, NO2, SO2, noise, C CO, CO2, NO2, SO2, noise, C, humidity/pressure CO, CO2, NO2, SO2, noise, C, humidity/pressure CO, CO2, NO2, SO2
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MESSAGE London case study
  • Imperial and Newcastle sensor units
  • Buses, fleet vehicles and street furniture
  • Mobile deployment of heterogeneous systems
  • Integration with existing TfL data streams
  • Feedback to traffic management

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MESSAGE London test site
  • Camden High St.
  • Multiple bus types
  • Candidate routes
  • 29
  • 31
  • 88
  • 168
  • 274

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Opportunities
  • MESSAGE is concerned with integrating a number of
    technologies and approaches from within the
    e-Science community and beyond
  • Although our context is urban air quality, the
    concept of pervasive mobile sensing has much
    wider application
  • Other application areas are being actively
    developed

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  • Thank you
  • www.message-project.org

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Scalable eScience hardware
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