Sean J. Barbeau - Tampa FL, US Philip L. Winters - Tampa FL, US Rafael Perez - Temple Terrace FL, US Miguel Labrador - Tampa FL, US Nevine Georggi - Valrico FL, US
Assignee:
University of South Floirda - Tampa FL
International Classification:
H04Q 7/20
US Classification:
4554561, 4554141, 4554563, 34053913
Abstract:
A location-aware method that dynamically adjusts software parameters in Location-Based Service (LBS) applications in real-time based on environmental conditions and application requirements. The invention saves power expended during position calculations while increasing application performance, optimizes settings for the application based on real-time conditions, and reduces bandwidth used. In an embodiment, the present method comprises a state machine or a plurality of state machines.
Sean J. Barbeau - Tampa FL, US Philip L. Winters - Tampa FL, US Rafael Perez - Temple Terrace FL, US Miguel Labrador - Tampa FL, US Nevine Georggi - Valrico FL, US
A travel assistant device to help individuals use transit systems. The device is particularly suited to help individuals with special needs (i. e. physical or mental disabilities) successfully navigate the transit system through cues that are delivered through the device. In certain embodiments the device utilizes a global positioning system (GPS)-enabled cell phone. The GPS features of the cell phone enable the location of a transit rider to be identified. The wireless communication features of the device allow positional data to be transmitted from the device to a geographic information system and to one or more interested parties to track the location of the transit rider. The device can be integrated with vehicle location systems of a transit system to coordinate the transit of the transit rider. In additional aspects the system facilitates the delivery of signal, cues or other communication to the transit rider to enable the rider to safely and effectively use the transit system without the immediate presence of a guide or supervisor.
Sasha dos-Santos - Valrico FL, US Sean J. Barbeau - Tampa FL, US Philip L. Winters - Tampa FL, US Rafael Perez - Temple Terrace FL, US Miguel Labrador - Tampa FL, US
Assignee:
University of South Florida - Tampa FL
International Classification:
G08G 1/123 G01S 1/00 G06F 19/00
US Classification:
701202, 701117, 705 6, 705 80
Abstract:
A ride matching method is disclosed herein. The ride matching method addresses many of the limitations associated with traditional dynamic ride matching applications. The method is unique in its ability to accept trips with schedules that cannot be expressed in terms of a simple recurrence pattern (e. g. Monday thru Friday work schedule). It can handle one-time and occasional trips. It is also distinct in its use of spatial analysis techniques to locate matches. Specifically, the use of a shortest path solver enables the ride matching method to perform a search along the path of a user's trip, in addition to the customary radial search around the endpoints. The shortest path solver is also used to calculate the driving distance between the user and a match. This provides a more accurate measurement than the straight-line distance used by other methods, especially in the presence of barriers.
On-Demand Emergency Notification System Using Gps-Equipped Devices
Sean J. Barbeau - Tampa FL, US Philip L. Winters - Tampa FL, US Rafael Perez - Temple Terrace FL, US Miguel Labrador - Tampa FL, US Nevine Georggi - Valrico FL, US Sasha Dos Santos - Tampa FL, US
Provided is an emergency locator system adapted for GPS-enabled wireless devices. Global Positioning System (GPS) technology is and Location Based Services (LBS) are used to determine the exact location of a user and communicate information relating to the emergency status of that location. The user initiates the locator application via a wireless device and their physical location information is automatically transferred to a server. The server then compares the user's location with Geographic Information System (GIS) maps to identify the emergency status associated with their location. Once the server has calculated the current emergency status, the information is automatically returned to the user, along with emergency instructions.
Method Of Providing A Destination Alert To A Transit System Rider
Sean J. Barbeau - Tampa FL, US Philip L. Winters - Tampa FL, US Rafael Perez - Temple Terrace FL, US Miguel Labrador - Tampa FL, US Nevine Georggi - Valrico FL, US Dmytro Bilov - Palm Harbor FL, US
Assignee:
University of South Florida - Tampa FL
International Classification:
G08B 21/00
US Classification:
340994, 34053911, 34053913
Abstract:
Provided is a detection method used to alert a rider of a transit system that his or her upcoming destination location is approaching. The method detects upcoming transit stops and alerts the transit rider to prepare to depart the transit vehicle. Another alert to request a stop at the appropriate time may also be given. The detection method detects a destination location when the transit vehicle is not going to stop and service the second-to-last, or triggering, stop and when the transit vehicle stops at the triggering location and then resumes travel towards the destination location. The detection method establishes a triggering location, two regions about the triggering location, a destination location, a destination region about the destination location, and a current location and speed from available location data. The method then triggers alerts based on the current speed and the current location's position within or without the established regions.
Method For Determining Critical Points In Location Data Generated By Location-Based Applications
Sean Barbeau - Tampa FL, US Philip L. Winters - Tampa FL, US Rafael Perez - Temple Terrace FL, US Miguel Labrador - Tampa FL, US Nevine Georggi - Valrico FL, US
Assignee:
University of South Florida - Tampa FL
International Classification:
G01C 21/00
US Classification:
701490, 701433, 701467, 701508, 701408, 340990
Abstract:
Provided is a critical point method used to determine the points of a real-time stream of location data, such as Global Positioning System (GPS) data, that should be retained based on their importance in reconstructing the travel path of a mobile device. The method may run on a mobile device or on a server. When run on a mobile device, the method reduces the amount of data transferred between mediums by only transferring points that are critical to reconstructing the path of travel of the mobile device. This reduction saves power used in the wireless transmission and reception of the non-critical data and the bandwidth used while transmitting non-critical data. The method may be run every time a new position is calculated. When a new position is determined to be a critical point, the point is transmitted. If the new position is not a critical point, then the point is discarded.
System And Method For Real-Time Travel Path Prediction And Automatic Incident Alerts
Sean J. Barbeau - Tampa FL, US Philip L. Winters - Tampa FL, US Rafael Perez - Temple Terrace FL, US Miguel Labrador - Tampa FL, US Nevine Georggi - Valrico FL, US
Assignee:
University of South Florida - Tampa FL
International Classification:
G01C 21/34
US Classification:
701411, 701423, 701424, 701527, 701410
Abstract:
A path prediction method that uses a commuter's travel patterns to predict their route and destination, and transmit road advisories via a GPS-enabled device. Once the user's location data is transmitted via a GPS-enabled device it is then catalogued and stored in a GIS database. The user's current travel path is then compared to their path history and statistics and a destination is determined based on related spatial and time properties. A warning is then automatically delivered to the user if there is an accident along their predicted path, without requiring any request or input form the user.
Using Pattern Recognition In Real-Time Lbs Applications
Sean J. Barbeau - Tampa FL, US Philip L. Winters - Tampa FL, US Rafael Perez - Temple Terrace FL, US Miguel Labrador - Tampa FL, US Nevine Georggi - Valrico FL, US
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.