1 Real-time, Personalized Path Prediction and Automobile Accident Detection System Tiffany Burrell Southern University and A & M College Baton Rouge, LA Center for Urban Transportation Research University of South Florida

2 TRACIT Project TRACIT’s objective is to develop a more effective way to collect data about people’s travel behavior in order to help the traffic engineers and civil engineers determine what would be the most efficient road plan for a specific area. Software has been developed to put on GPS-enabled mobile devices to collect information about a persons travel behavior. Currently the project is at the point of improving the automation of the software package.

3 Global Positioning System GPS System 27 Satellites Orbit the Earth twice a day Equipped with an Atomic clock GPS Receiver 3-D Trilateration GPS Receiver locates 4 satellites above it Then it calculates the distance to GPS satellites by timing a signal's journey from satellite to receiver

4 My Research Assignment THE PROJECT Develop code that will predict a client's path at runtime without user input. Develop code that will predict a client's path at runtime without user input. Warn the client of up coming traffic that they may encounter. Warn the client of up coming traffic that they may encounter. THE PURPOSE To reduce traffic congestion caused by accidents To reduce traffic congestion caused by accidents Save time Save time Reduce the number of irrelevant traffic warnings received from a traffic detection subscription Reduce the number of irrelevant traffic warnings received from a traffic detection subscription Reduce the number of times people say,” Had I known there was going to be traffic, I would have gone the other way.” Reduce the number of times people say,” Had I known there was going to be traffic, I would have gone the other way.”

5 Requirements In order to predict someone’s travel path, their travel behavior should be recorded for at least two weeks using GPS technology.

6 Collection of Coordinates

7 Create a Polyline There is a polyline created for each TripID

8 Place a Buffer Around the Polyline The Buffer is like a fence around a house. It is there to detect when someone is within your property.

9 Methodology Every five points the method is invoked Query all polygons of the client that the short path lies within and that occurred within a hour of the current time Detect all accidents that lie within those polygons Send the client a text message that describes the description of the location of the accident

10 Methodology

11 Methodology Continued

12 Methodology Continued

13 Static Testing Purpose Make sure the buffers were large enough Make sure the buffers were large enough Detect active automobile accidents Detect active automobile accidents Make sure the correct polygons were queried Make sure the correct polygons were queried Detect other logical errors in the code Detect other logical errors in the code Test the time and user id factor of the algorithm Test the time and user id factor of the algorithmMaterial Java Thread Java Thread 20 Accidents 20 Accidents 2015 Trips 2015 Trips 15 short paths 15 short pathsResults Passed Passed

14 Dynamic Test Purpose Determine if the user would receive the warning in ample time Determine if the user would receive the warning in ample time Test spatial reference Test spatial referenceMaterial GPS enabled cellular phone GPS enabled cellular phone TRACIT Software TRACIT Software Java thread Java threadResults Due to a problem between the ArcObject and Java interface the code could not detect users travel path at runtime. Parts of the application will have to be redone using ArcServer. Due to a problem between the ArcObject and Java interface the code could not detect users travel path at runtime. Parts of the application will have to be redone using ArcServer.

15 Conclusion It is our hope that once people receive the accident warning, they would choose an alternate route in order to decrease traffic congestion within the vicinity of the accident.

16 Future Endeavor When an accident is detected along a client’s most frequently pursued route, TRACIT will provide them with an alternate route.

17 Acknowledgements University of South Florida Dr. Miguel Labrador Dr. Miguel Labrador Mentor: Sean Barbeau Mentor: Sean Barbeau Narin Persad-Maharaj Narin Persad-Maharaj Alfredo Perez Alfredo Perez Center for Urban Transportation Research National Science Foundation Science & Engineering Alliance (SEA) Timbuktu Academy/ LS- LAMP Ronald E. McNair Program

18 Questions? For more information about TRACIT please contact Sean Barbeau at