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Data Dissemination for Environment Monitoring

Data Dissemination for Environment Monitoring. Visalakshmi Suresh Prof. Paul Watson. MESSAGE. EPSRC funded research. Consortium Newcastle University, Leeds University, Imperial College, Cambridge and Southampton University Advisory Board : Collaboration with Industry. Overview.

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Data Dissemination for Environment Monitoring

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  1. Data Dissemination for Environment Monitoring Visalakshmi Suresh Prof. Paul Watson

  2. MESSAGE • EPSRC funded research. • Consortium • Newcastle University, Leeds University, Imperial College, Cambridge and Southampton University • Advisory Board : Collaboration with Industry

  3. Overview • Novel and Emerging ITS sensing devices • Data acquisition and Processing • Real Time Data Fusion Architecture • Real Time Data Dissemination • Historic Data Mining using Collaborative Tools • Conclusion

  4. Novel and Emerging ITS sensing devicesPervasive Sensors • Highly modular, mobile/fixed • CO, NO2, Noise and Traffic • Temperature and Humidity • Accelerometer and GPS • Mobile and Fixed • Battery 6months @1min average • ~£200 components cost • Motes ~100m apart • Zigbee wireless 5 hops • Gateway: Indoor/outdoor. • LAN or autonomous (GPRS)

  5. Novel and Emerging ITS sensing devicesLegacy Systems A • Technology • Vehicles • People • Systems Pervasive Legacy

  6. MESSAGE Decision Support System Data Acquisition POLICY STRATEGY Historic Analysis Real-time Analysis Network Status Modelling Evaluation and Assessment Disseminate/inform

  7. Real Time Mashups Locations Real Time Monitoring Data Aggregation Pollution Hotspots AURN -- Legacy System

  8. Demonstration • Real Time Dissemination

  9. Real Time and Historic Integration OSPM Dispersion Model Technology Pervasive Legacy

  10. Traffic and air quality Model Validation A Pervasive Legacy

  11. Traffic and air quality Model Validation A Pervasive Legacy

  12. Current Research • Integrating Models with Monitored data (Image Source: TORG, Newcastle University)

  13. Data Display Marts • V: Visualisation • RTEP: Real-Time Event Processor • CCLAV: Critical Congested Link Assessment • CA: Congestion Assessments • TTEE: Traffic Tail-pipe Emissions Estimation • RPPL: Receptor Point Pollution Level

  14. Collaborative Workbench Historic Data analysis • eScience Central • Store • Analyse • Automate • Share

  15. System ArchitectureLayered Approach

  16. Designed for data intensive applications • Features for continuous evolution • Integration of heterogeneous data sources • Effective control and added values to ITS implementation Summary

  17. Questions? Visalakshmi Suresh Visalakshmi.suresh@ncl.ac.uk Prof. Paul Watson paul.watson@ncl.ac.uk

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