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City Activity Stream. Enhanced situational awareness in urban environments


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City Activity Stream application has been developed within "Adaptive Cooperative Control in Urban Subsystems" project (ARTEMIS/FP7). It uses complex event processing technology to discover urban events in data sourced from many different urban systems.

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City Activity Stream. Enhanced situational awareness in urban environments

  1. 1. City Activity Stream ACCUS-dedicated application for enhanced situational awareness in urban environment based on complex event processing technology Mateusz Bonecki BetterSolutions (BS) Gdansk: Jan 21st, 2016 ACCUS Demonstration and Final Review ARTEMIS-­‐2012-­‐1  
  2. 2. Cross-domain and emergent capability for enhaned situational awareness Tristar ITS Street Traffic Radars Automatic Vehicle Identification Weather Subsystem Pollution Monitoring ACCUS  ADAPTIVITY  LAYER   ACCUS  ICP   City  State   Database   Ontologies   Complex  Event   Detec@on  Engine   ACCUS  API  
  3. 3. Events detected and delivered name definition data used (source) traffic congestion congestion beyond (average) 2000 vehicles / h traffic measurements (Tristar ITS, Street Traffic Radars) high PM10 concentration PM10 concentration in the air exceeds the norm of 25 µg/m3 air quality measurements (pollution monitoring system) strong wind speed of wind beyond 3 m/s weather subsystem cold temperature below 0 °C weather subsystem road incident road incident affecting traffic operator input (Tristar ITS) parking zone full number of vehicles in the parking zone reaches its full capacity counter (Automatic Vehicle Identification)
  4. 4. Cross-domain complex event: difficult road conditions Tristar ITS Street Traffic Radars Weather Subsystem temperature below 0°C & high traffic congestion atomic event “cold” atomic event “traffic congestion”
  5. 5. Architecture and data flow
  6. 6. The application (GUI) Traffic congestion, PM10 level, and parking zones over time.
  7. 7. §  optimization of combined performance of urban systems prerequisite: §  sensing capabilities on system of systems level §  data sourced from many different subsystems: §  Tristar ITS, Street Traffic Radars, Numerical Weather Prediction, Automatic Vehicle Identification, Air Pollution Monitoring §  cross-domain application in information domain: §  CAS and CEDE go beyond the silo-architecture of isolated urban systems and enable horizontal data integration for event detection and processing purposes §  enhanced situational awareness on SoS level: §  SoS provided with an emergent capability to detect events that cannot be spotted by any of the sensing subsystems as stand-alone SoS-level sensing and event processing
  8. 8. CAS & CEDE: future development agenda EVENT DETECTION FOR GRITTER ROUTING SOFTWARE Next step is to use weather forecast and Tristar ITS traffic simulation capabilities to predict difficult road conditions for upcoming 12 hours. Predicted events will define routes for gritter-vehicles for improved road safety in urban areas during the winter season. CUSTOMIZED NOTIFICATIONS FOR CITIZENS The goal is to mature the mobile-client prototype and enable customized notifications on urban events, including traffic jams, weather, concerts, road works, etc. Think of IFTTT that operates on urban systems. SITUATIONAL AWARENESS FOR URBAN DEPARTMENTS City authorities will get access to GUI to define own events and assign them to appropriate city services. Delivered events will trigger relevant behavior and enable evidence-based decision making in urban departments.
  9. 9. Mateusz Bonecki Ph.D. BetterSolutions