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Where to find help when you meet a emergency? HelpMe : a guidance system for self-rescue

Where to find help when you meet a emergency? HelpMe : a guidance system for self-rescue. Kuien Liu Institute of Software Chinese Academy of Sciences. Pray for Kunming 2014.3.1. Motivation. “Please show me the best way to escape”. Who needs this service?. Run from danger

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Where to find help when you meet a emergency? HelpMe : a guidance system for self-rescue

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  1. Where to find help when you meet a emergency? HelpMe: a guidance system for self-rescue Kuien Liu Institute of Software Chinese Academy of Sciences

  2. Pray for Kunming2014.3.1

  3. Motivation • “Please show me the best way to escape”

  4. Who needs this service? • Run from danger • Getting rubbed when walk alone • Go get help • save the wounded, pets and persons. • Search for gas when a car broke down • Emergency center • Official, civil or private organizations.

  5. What does HelpMe serve us? • For persons run from danger • Daytime: run to crowdedplaces • Based on population, transportation and POI datasets • At Night: run to brightplaces • Based on nightscape, road network and POI datasets • For persons go get help • Route planning: nearest spots + shortest waiting time + fastest transportation

  6. What kind of instructions we need? • Simpler and shorter • One-click control • Short instruction • Easy to understand • Rational • Temporal and/or spatial constrained • Globally optimal, for the wounded • Locally optimal, for the runaways • Clearly Induced • Vehicles, e.g., vacant taxi, bus/railway station nearby • Places, e.g., hospital, policy station, gas station, etc.

  7. Workflow of HelpMe Mobile Back-end Server current GPS 1. Patterns of public transit + 2. Navigation on the Map + 3. Optimal route planning Instructions Emergency Center “northeast, 200 meters, turn left” GPS + movement Rescue plan

  8. Scene 1: Go-Get-Help(GGH) • For a person meets a wounded man: • T1: time to run to the possible place for help • T2: time to wait on the possible place for help • T3: time to transmit the wounded to a hospital • E.g., the fastest way to hospital by bus • find the places with minimum {T1+T2+T3} T1 T2 T3

  9. Scene 2: Run-From-Danger(RFD) • Where is the best place to run? • Run to crowded areas in daylight, or bright locations at night • Where the crowd/bright locations are at that moment? • NOAA knows, NASA knows, we don’t … • Fortunately, we have BIG DATA. • Places familiar to individual users • Places with a crowd of POIs

  10. Technologies (1/3) • Our existing works • Algorithms • 1. Patterns of public facilities • 2. navigation • 3. route planning • Techniques on data management • To do in the future • Continuously optimizing as running • Person-to-Person, help each others

  11. Technologies(2/3) • An Example of Route Planning • Main Road Identification  Shortest Path Searching  Evacuation Cost Computing  Best Route Selection

  12. Technologies(3/3) • The maintenance cost on meta-data and the retrieval cost are not trivial • E.g., the fastest way to hospital by bus Hospitals in Beijing Stops in Beijing

  13. Prototype on Android It can be implemented as an component on the COS Operating System

  14. Q & A

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