Publications

The following represents a selection of location aware information systems patents, papers, and presentations.  NOTE: Some of the reports are only available  in Adobe pdf format. Get Adobe AcrobatReader

Patents

  1. U.S. Patent # 9,130,995 – System and Method for Rendering a Distributed Location-Aware System – A distributed location-aware system that is able to efficiently exchange location data over large geographic areas without requiring a centralized server. Issued Sept 8, 2015, U.S. Patent and Trademark Office.
  2. U.S. Patent # 9,047,384 – System and Method for Automatically Determining Purpose Information for Travel Behavior – A method to derive trip purpose information from GPS data from a mobile device using Geographic Information System (GIS) data for land use categories and user-provided information for home and work locations. Issued June 2, 2015, U.S. Patent and Trademark Office.
  3. U.S. Patent # 8,924,536 – Distributed and Decentralized Location Aware Architecture – A distributed and decentralized location-aware system that includes a number of peers, each in communication with other peers and adapted to communicate PING, PONG, and ALERT messages. Each of the messages has a header that includes location information. Issued December 30, 2014, U.S. Patent and Trademark Office.
  4. U.S. Patent # 8,843,315 – System and Method for Spatial Point-of-Interest Generation and Automated Trip Segmentation Using Location Data – An algorithm that creates points-of-interests (e.g., Home, Work) from raw tracking data (e.g., GPS).  These points-of-interest are then used to segment the raw tracking data into discrete trips from one location to another.  The amount of time that the user spends at a particular point-of-interest, and when they arrive at and depart from each point-of-interest is also calculated.  Issued September 23, 2014, U.S. Patent and Trademark Office.
  5. U.S. Patent # 8,751,162 – System for Pattern Recognition in Real-time Location-based Services Applications – A prediction method that estimates the real-time position of a mobile device based on previously observed data is provided. The present invention can be used in real-time navigation, including providing real-time alerts of an upcoming destination and notifications of emergency events in close geographic proximity. The prediction method utilizes neural networks and/or functions generated using genetic algorithms in estimating the mobile device’s real-time position. The prediction method provides reliable Location-Based Services (LBS) in events where traditional positioning technologies become unreliable. It is also seamless, as the user remains unaware of any interruption in accessing the positioning technology.  Issued June 10, 2014, U.S. Patent and Trademark Office.
  6. U.S. Patent # 8,725,831 – Architecture and Two-Layered Protocol for Real-Time Location-Aware Applications – Defines an architecture and a two-layer communication protocol that provides timely location updates via an unreliable protocol, and also provides a subscription mechanism that allows a location-aware application on a mobile device to act not only on its own real-time location, but also on the real-time location of other mobile devices in the system. Issued May 13, 2014, U.S. Patent and Trademark Office.
  7. U.S. Patent # 8,718,671 – Adaptive Location Data Buffering for Location-Aware Applications – Supports the use of an unreliable protocol (e.g., UDP) to transmit location data from a mobile device to a server in real-time, while occasionally checking if a connection with the server exists using a reliable protocol (e.g., TCP).  If a reliable connection fails, location data is buffered on the device until the next successful reliable connection.  This allows energy and data-efficient communication of real-time tracking information, while still providing some measure of reliability.  Issued May 6, 2014, U.S. Patent and Trademark Office.
  8. U.S. Patent # 8,600,674 – Using Pattern Recognition in Real-time LBS Applications – Estimates the position of a mobile device based on previously observed (i.e., historical) data, when real-time positioning data such as GPS is unavailable.  Issued December 3, 2013, U.S. Patent and Trademark Office.
  9. U.S. Patent # 8,548,724 – System and Method for Real-time Travel Path Prediction and Automated Incident Alerts – Predicts an individual’s travel path, based on their real-time location and personal travel history, and delivers highly-targeted incident alerts based on this information.  Issued October 1, 2013, U.S. Patent and Trademark Office.
  10. U.S. Patent # 8,249,807 – Method for Determining Critical Points in Location Data Generated by Location-Based Applications – Reduces the amount of location data sent over a wireless network by pre-filtering the data on-board a mobile device and eliminating “non-critical” points that aren’t needed to recreate the device’s path.  Reduced data transmissions result in reduced battery energy consumption and reduced data costs.  Issued August 21, 2012, U.S. Patent and Trademark Office.
  11. U.S. Patent # 8,169,342 – Method of Providing a Destination Alert to a Transit System Rider – Algorithm used in the Travel Assistance Device (TAD) system to alert a transit rider when to exit the bus based on their real-time location and nearby bus stops.  Issued May 1, 2012, U.S. Patent and Trademark Office.
  12. U.S. Patent # 8,145,183 – On-Demand Emergency Notification System using GPS-equipped Devices – Mobile app to automatically determine the cell phone user’s current evacuation zone and real-time evacuation information for that zone.  Issued March 27, 2012, U.S. Patent and Trademark Office.
  13. U.S. Patent # 8,138,907 – Travel Assistant Device – Travel Assistance Device (TAD) system to assist transit riders with intellectual disabilities.  Issued March 20, 2012, U.S. Patent and Trademark Office.
  14. U.S. Patent #8,140,256 – Dynamic Ridematching Algorithm.  – GIS-based Algorithm to match riders for carpools that are traveling on similar routes.  Issued March 20, 2012, U.S. Patent and Trademark Office.
  15. U.S. Patent # 8,045,954 – Wireless Emergency-Reporting System – Bidirectional location-based multimedia messaging system.  Issued October 25, 2011, U.S. Patent and Trademark Office.
  16. U.S. Patent # 8,036,679 – Optimizing performance of location-aware applications using state machines – Dynamically adjusts GPS sampling rates to allow high resolution tracking while moving and conservation of battery energy when  stopped.  Issued October 11, 2011, U.S. Patent and Trademark Office.

Papers and Presentations

2016

2015

2014

2013

2012

  • Sean J. Barbeau, Richard Pascoe, Elba Lopez.  “Development of a Regional Public Transportation GIS Architecture and Data Model”, CUTR Webcast, December 13th, 2012.
  • Sean J. Barbeau, “Mobile Transit Apps,” ITS Canada Transit App Webinar, December 7th, 2012.
  • Sean J. Barbeau. “Smart Phones and Smart Travelers,” 53rd Annual Transportation Research Forum, Tampa, Fl, March 15-17, 2012.
  • Sean J. Barbeau, Philip Winters, Rafael Perez, Miguel Labrador, Nevine Georggi.  “GPS Auto-Sleep – Optimizing Performance of Location-Aware Applications,” National Academy of Inventors Annual Conference, Tampa, Fl, February 16-17, 2012.  Presentation, Poster.
  • Philip Winters, Sean Barbeau, Nevine Georggi.  “Travel Assistance Device to Help Transit Riders, Transit IDEA Project 52,” Proceedings of 2012 Transportation Research Board Conference, Washington, D.C., January 22-26, 2012.
  • Philip Winters, Julie Bond, Sean Barbeau, Nevine Georggi, Sisinnio Concas.  “Dynamically Priced Carsharing,” Proceedings of 2012 Transportation Research Board Conference, Washington, D.C., January 22-26, 2012.
  • Sean J. Barbeau.  Panel Member, White House Round Table on Real-time Transit Data, White House, Washington, D.C., January 19th, 2012.

2011

  • Sean J. Barbeau.  “TAD – Travel Assistance Mobile App to Help Transit Riders,” Proceedings of the 2011 ITS World Congress, Orlando, FL, October 18, 2011.
  • Marcy Gordon, Sean J. Barbeau, Miguel Labrador.  “Location Data Signing – Protecting the Integrity and Authenticity of Positioning System Data,” Proceedings of the 2011 ITS World Congress, Orlando, FL, October 20, 2011.  Paper, Presentation.
  • Khoa Tran, Ed Hillsman, Sean J. Barbeau, and Miguel Labrador.  “GO-Sync – A Framework to Synchronize Crowd-Sourced Mapping Contributions From Online Communities and Transit Agency Bus Stop Inventories,” Proceedings of the 2011 ITS World Congress, Orlando, FL, October 18, 2011.  Paper, Presentation.
  • Sean J. Barbeau, Rafael A. Perez, Miguel A. Labrador, Alfredo J. Perez, Philip L. Winters, Nevine Labib Georggi, “A Location-Aware Framework for Intelligent Real-Time Mobile Applications,” IEEE Pervasive Computing, vol. 10, no. 3, pp. 58-67, July-Sept. 2011, doi:10.1109/MPRV.2010.48.  Paper. (c) 2011 IEEE.
  • Bolechala, Miltenberger, Barbeau, and Gordon.  “Evaluating the Effectiveness of the Travel Assistance Device (TAD) on the Bus Riding Behavior of Individuals with Disabilities,” 2011 GIS in Public Transportation Conference, St. Petersburg, FL, September 12-14, 2011.
  • Sean Barbeau, Ed Hillsman.  “Using Open Data to Develop Multimodal Trip Planners for Livable Communities,” 2011 GIS in Public Transportation Conference, St. Petersburg, FL, September 12-14, 2011.
  • Ed Hillsman, Sean Barbeau.  “Emerging Information Tools to Support Worksite Trip Reduction,” ACT 2011 International Conference, Chicago, IL.  August 28th, 2011 to August 31, 2011.
  • Paul A. Zandbergen and Sean J. Barbeau.  “Positional Accuracy of Assisted GPS Data from High-Sensitivity GPS-enabled Mobile Phones,” The Journal of Navigation, volume 64, issue 03, pp. 381-399.  July 2011. (C) 2011 The Royal Institute of Navigation.  doi:10.1017/S037346331100005.
  • Bolechala, Miltenberger, Barbeau, and Gordon.  “Evaluating the Effectiveness of the Travel Assistance Device on the Bus Riding Behavior of Individuals with Disabilities,” 37th Association for Behavior Analysis International (ABAI) Annual Convention, Denver, CO, May 27-31, 2011.  Paper #11396.
  • Sean J. Barbeau, Nevine Georggi, Philip Winters.  “Research Today to Increase Accessibility Tomorrow: The Cutting Edge of Wayfinding Technology”, Easter Seals Project ACTION Webinar. April 13th, 2011.
  • Khoa Tran, Sean Barbeau, Ed Hillsman, Miguel Labrador.  “GO-Sync: A Framework to Synchronize Mapping Contributions from Online Communities and Transit Agency Bus Stop Inventories,” The 2011 National Conference on Undergraduate Research, March 31, 2011 to April 2, 2011.
  • Isaac M. Taylor and Miguel A. Labrador, “Improving the Energy Consumption in Mobile Phones by Filtering Noisy GPS Fixes with Modified Kalman Filters,” Proceedings of IEEE Wireless Communications and Networking Conference, March 28-31, 2011.  Paper, Presentation.
  • Sean J. Barbeau.  Panel Member, “Building a Global Community of Practice Around Accessible Transportation:  How to Create a Foundation for Evidence-based Practice (P11-1093),” Accessible Public Transportation Research Workshop, Transportation and Mobility (ABE60) Committee, National Academy of Sciences’ Transportation Research Board 90th Annual Meeting.  Washington, D.C., January 23th, 2011.
  • Sean J. Barbeau, Nevine L. Georggi, Philip L. Winters, Marcy E. Gordon.  “From Idealism to Realism: Lessons Learned from Development of Standards-Based Software for Advanced Public Transportation Systems,” Proceedings of the National Academy of Sciences’ Transportation Research Board 90th Annual Meeting,   January 24, 2011. Paper #11-2254Poster.
  • Arica J. Bolechala, Raymond G. Miltenberger, Sean J. Barbeau, Marcy E. Gordon.  “Evaluating Effectiveness of Travel Assistance Device on Bus Riding Behavior of Individuals with Disabilities,” Proceedings of the National Academy of Sciences’ Transportation Research Board 90th Annual Meeting,  January 24, 2011.  Paper #11-1418Presentation.
  • Sean J. Barbeau, Nevine L. Georggi, Philip L. Winters, Miguel Labrador.  “Participatory Sensing: Smart Phones as Sensors in a Connected World (P11-1654),” SensingTechnologies for Transportation Applications Workshop,  Information Systems and Technology (ABJ50) & Geographic Information Science and Applications (ABJ60) Committee Meetings, National Academy of Sciences’ Transportation Research Board 90th Annual Meeting.  Washington, D.C., January 23th, 2011.
  • Nevine L. Georggi, Sean J. Barbeau, Marcy E. Gordon, Philip L. Winters.  “Evaluating the Deployment of a Mobile Navigation Device at Four Transit Agencies in Florida,” Proceedings of the National Academy of Sciences’ Transportation Research Board 90th Annual Meeting, January 24, 2011.  Paper #11-2213Poster.

2010

2009

  • Sean J. Barbeau, Mark Sheppard. “Cell Phones and GIS: Lessons Learned from Developing Transit Navigation Software,” 2009 GIS in Transit Conference, St. Petersburg, FL November 17, 2009.
  • Sean J. Barbeau. “Enhancing Transportation Safety and Security Through Wireless Detetion and Communication Technology,” 2009 Tanks and Wireless Energy Technology ECO Conference, Tampa, Florida, May 29, 2009.
  • Miguel Labrador, Sean J. Barbeau, Philip Winters, Nevine Georggi, Rafael Perez. “The Travel Assistant Device: Utilizing GPS-Enabled Mobile Phones to Aid Transit Riders with Special Needs,” Urban Cognitive Accessibility 2009, ONCE Foundation for Cooperation and Social Integration of People with Disabilities, Madrid, Spain. May 12, 2009.
  • Sean J. Barbeau, Mark Sheppard. “Travel Assistance Device: Increasing Ridership of Fixed-Route Transit by Utilizing GPS-Enabled Cell Phones,” FPTA/FDOT/CUTR/Professional Development Workshop 2009, Tampa, Florida, May 20, 2009.
  • Sean J. Barbeau. “Travel Assistance Device: Increasing Ridership of Fixed-Route Transit by Utilizing GPS-Enabled Cell Phones,” American Public Transportation Association Research & Technology Committee Meeting, Seattle, Washington, May 3, 2009.
  • Sean J. Barbeau, Mark Sheppard. “Travel Assistance Device: Increasing Ridership of Fixed-Route Transit by Utilizing GPS-Enabled Cell Phones,” American Public Transportation Association Buss & Paratransit Conference 2009, Seattle Washington, May 5, 2009.
  • Sean J. Barbeau, Miguel A. Labrador, Nevine L. Georggi, Philip L. Winters, Rafael A. Perez. “TRAC-IT: A Software Architecture Supporting Simultaneous Travel Behavior Data Collection and Real-Time Location-Based Services for GPS-Enabled Mobile Phones,” Proceedings of the National Academy of Sciences’ Transportation Research Board 88th Annual Meeting, Paper #09-3175, January, 2009.

2008

2007

  • Sean J. Barbeau, Philip L. Winters, Nevine L. Georggi, Miguel Labrador, Rafael Perez, William Kearns, and James Fozard. “The Travel Assistant Device: Electronic Mobility and Transportation Guidance Assistance for Persons with Cognitive Disabilities,” Proceedings of University of Rochester & Microsoft Research Workshop on Intelligent Systems for Assisted Cognition, pp. 193-207, Rochester, New York, October 12-13, 2007.
  • Sean J. Barbeau, James Fozard, William Kearns, “Implications of Rapidly Evolving Gerontechnologies for High Speed Networks,” Proceedings of the Fall 2007 Internet2 Member Meeting, San Diego, California, October 9, 2007.
  • David P. Aguilar, Sean J. Barbeau, Rafael A. Perez, Miguel A. Labrador, Philip L. Winters, “A Comparison of Fix Times and Estimated Accuracies in Application Programming Interfaces (APIs) for GPS Enabled Mobile Phones”, Proceedings of the 11th World Conference on Transport Research, Berkeley, USA. June 2007.
  • David P. Aguilar, Sean J. Barbeau, Miguel A. Labrador, Alfredo Perez, Rafael A. Perez, and Philip L. Winters, “Quantifying the Position Accuracy of Real-time Multi-Modal Transportation Behavior Data Collected using GPS-Enabled Mobile Phones”, Proceedings of the National Academy of Sciences’ Transportation Research Board conference, January, 2007.

2005-2006

  • Sean J. Barbeau, “Using GPS-enabled Mobile Phones and Location-Aware Technology to Meet Transportation Challenges,” Proceedings of the Transpo2006 Intelligent Transportation Systems Conference, November, 2006.
  • Sean J. Barbeau, Philip Winters, Nevine Labib Georggi, Miguel A. Labrador, Rafael Perez, “Using GPS-enabled Cell Phones to Improve Multimodal Planning and Facilitate Travel Behavior Change,” Proceedings of the GIS in Transit 2006 conference by the National Center for Transit Research, November, 2005.
  • Philip Winters, Sean J. Barbeau, and Nevine Georggi, “Automating the Collection and Processing of Household Travel Patterns to Deliver Personalized Feedback to Change Travel Behavior,” Proceedings of the 2005 Association of Commuter Transportation (ACT) conference, September 2005.
  • Sean J. Barbeau, “Digital Travel Assistant: A Potential Technology Application to Assist Transit Riders with Special Needs” at the Fifth Annual National Conference for the Association of Travel Instructors (ATI) in Seattle, WA. August 12th, 2005.

Final Reports

Thesis and Dissertations