incident identification platform based on mobile devices

My presentation for the eRA8 conference. A prototype platform that identifies incidents by accumulating reports from mobile devices.

Transcript

1. Incident Identification Platform Based on Mobile devices Dissertation submitted for the Degree of Master of Science in Networking and Data Communications By ANASTASIOS LATSAS Supervisor DR. CHARALAMPOS Z. PATRIKAKIS
2. Importance of Incident Detection
3. Incident Detection Systems TraCS (Traffic and Criminal Software)
4. Incident Detection Systems SARACEN (Socially Aware, collaboRative, scAlable Coding mEdia distributioN)
5. Incident Detection Systems Delasoft Incident Locator Tool
6. Motivation • Existing systems are based on user input (assume location knowledge) • Not "smart" enough • Not open • Not accessible
7. Incident Identification Platform • Detect incidents without assuming any location knowledge • Detect both static and evolving incidents • Web based platform (accessible) • Mobile clients for Android™ devices • Communication using open APIs and common protocols (HTTP) • Open source
8. Static Incident Detection 1. calculate all possible incidents using the collected reports 2. filter out too distant incidents 3. calculate the average incident location 4. calculate standard deviation of incidents 5. determine safe point of location identification
9. Evaluation Process • collecting real data (using different mobile devices) • collecting virtual data (using gmaps) • randomizing collected data (location) • randomizing collected data (run order) • replaying scenarios • plotting results
10. Static Incidents - Results
11. Tracking Algorithm • 3 main phases • filtering based on space and time criteria • can detect evolving incidents • adjusting existing position using two different algorithms • scalable
12. Tracking Algorithm - Phase 1
13. Tracking Algorithm - Phase 2
14. Tracking Algorithm - Phase 3
15. Static vs Tracking Performance
16. Future Work Expand available clients
17. Thank You