RFID-Enhanced Boarding Pass System (REBP)

1. RFID-Enhanced Boarding Pass System (REBP) An Initial Design By Jason Anderson, Brett Bojduj, Michael Huffman, Arlo White

2. Considered Stakeholders Airlines Vendors Security Passengers

3. Technological Assumptions • Active RFID • Locates boarding pass every 1 second • 4D coordinates: • x, y, z, and time • Accuracy within 10 feet • Airport security camera coverage • Access to passenger manifesting

4. Airlines • Boarding attendants • Responsibilities • Flight check-in • Boarding pass issuance • Flight schedule alterations • Boarding process 4 4

5. Airlines • Interests • Maximize efficiency of boarding process • Missed/delayed connections • Customer dissatisfaction • Operating costs • System desires • Real-time location of passengers • Outcome • Assist passengers find gate in timely manner • Delay flights only when passenger in terminal 5 5

6. Vendors • Interests • Finding optimal locations to sell products • Targeted marketing and advertisements 6 6

7. Vendors • To find good locations • Get location data for people as they move through the airport • Areas where people stay for a long amount of time can be good places to have a store • Use data about different types of areas, e.g., bathrooms, security area, etc., to make a good decision • E.g., if people spend lots of time in bathrooms, install vending machines!

8. Vendors: Targeted Ads • LCD screens in key locations • Targeted ads based on past buying habits • Useful information such as where you are and where your gate is, on a map 7

9. Security • TSA and airport security personnel • Responsible for detecting threats and effectively handling them

10. Security • Interests • Quickly respond to situations • Allow passenger information to be used for suspicious passenger detection

11. Passenger Security Profile

12. Passenger Inconvenience Minimize False Pos without having False Neg Two step investigation process to limit inconvenience System must flag a passenger as suspicious Security Personnel monitors passenger via automated video tracking

13. Passengers • Interests • Finding directions within the airport • Knowing the travel issues ahead • Locating lost party members • Desires • Privacy • Security • Comfort & Convenience 12 12

14. Services • Demography association • Location tracking • Real-time • Historical • Suspicious passenger detection • Social networking • Purchase recommender 13 13

15. Data • RFID Tag • Unique identifier per tag • Correlated to ticket purchase • REBP • Demographic data (name, gender, dob) • Flight history • Airport purchase information • Security data (X-rays, security recordings) 14 14

16. Data • Required data interfaces • RFID tags and antenna • Passenger manifesting systems • Airport security cameras 15 15

17. Ethical Concerns • Privacy • Stakeholders agreed that no privacy is lost • Already have people going through luggage • Already have to go through metal detector

18. Analytical Tasks • Suspicious passenger detection • Association rules and classification • Online Analytical Processing • Locations • Demographic data • Purchases • Spatio-temporal clustering 17 17

19. Q & A • Questions? 18 18