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Traveling Soundly and Safely Through Troy

Traveling Soundly and Safely Through Troy. USE CASE: Provide new visitors and arrivals to Troy with the “Safest” routes given a starting and end location. What Does That Mean?. A path which has the lowest incidence of crimes

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Traveling Soundly and Safely Through Troy

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  1. Traveling Soundly and Safely Through Troy

  2. USE CASE: Provide new visitors and arrivals to Troy with the “Safest” routes given a starting and end location.

  3. What Does That Mean?

  4. A path which has the lowest incidence of crimes • A path which creates the greatest sense of safety

  5. What is “sense of safety”

  6. Features in and around a street influence a person's sense of safety • Nasar & Fisher (1993) • Perkins (1993) • Jones & Nasar (1997)

  7. Concealment

  8. Entrapment

  9. Why Should It Matter For The User? • Crimes are typically rare • In a given year:

  10. Resources: • Database of crimes, dates, and locations • Accessible thanks to Alvaro Graves

  11. Creating Paths • Utilizing “Sense Of Safety” Ontology Also Google! - Google Places API

  12. How Are They Used?

  13. Additions To Crime Ontology:

  14. Purpose: • Objectively weight severity of crime Larger Punishment = Greater Severity of Crime

  15. Using Google Places API and “Sense Of Security” Ontology

  16. Map Features of Ontology to Places on streets -Query Google Places -Can get: Alleys Landmarks Density of Stores/residences Tunnels Etc

  17. Streets with features associated with higher sense of safety are given higher weighting.

  18. Combining the Pieces: • User Queries Web Interface • Request sent to primary Module Makes appropriate requests to Database to Google Services Generates safest path using crime data weighted by punishment severity Top safest paths are compared based on “Sense Of Safety”

  19. Result: A route for the user to take which is • a relatively safe route • instill a greater sense of security

  20. Additional Features: • From the Ontology: Time Of Day Gender Type Of Transportation

  21. Through the interface Likelihood of a crime Weighted Likelihood of a crime Alternate routes Ability to send additional input such as gender, transportation type, and crimes to emphasize

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