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License Our Technology

The following patent pending inventions are available for licensing from USF:

05A060 - Travel Assistant Device to Aid Transit Riders

05A048 - Wireless Video for Instant Access (Wi-Via)

04B083 - Novel transportation tracking system (TRAC-IT)

 
Media Coverage

Bay News 9: New cell phone program gives bus riders a hand. See video.

WUSF 89.7 University Beat interviews USF Location Aware Information Systems researchers. Listen now

10/18/2006
Team members have accepted an invitation to join the international Expert Group for the creation of a new cell phone software standard – “JSR 293 – Location API 2.0”. The group consists of 16 mobile electronics industry representatives and USF is the only university representative.

   
 
Spotlight on: Enhancing Transportation Safety and Security via Scalable Location-Based Wireless Applications

Screen shot of Wi-via

In a post 9/11 world, the government has emphasized the need for enhanced security in different locations serving many purposes; from protecting the transportation infrastructure of the country to making sure food and water reservoirs remain uncontaminated. In addition to government resources, private business and citizen support is needed to properly monitor the myriad of sensitive locations and materials. Modern technology allows an efficient approach to this concept through the use of portable personal electronic devices such as camera cell phones or Personal Digital Assistants (PDAs). The overall approach of this project is use existing, readily available technologies and resources to develop a low-cost system that receives and delivers video, text, etc. based on geographic location. This project developed a prototype system that can serve as a modern high-tech “Neighborhood Watch” enabling law enforcement officials access to the many “eyes and ears” of the public.

Cell phones with embedded digital cameras allow the instant capture and remote submission of suspicious circumstances through pictures or video to authorities that may warrant further attention or action by law enforcement. Not only does this give the responding party a visual representation of the situation, but other information such as time, date, voice recordings, and physical location of the reporting party in Global Positioning System (GPS) coordinates can also be automatically attached to the report. Upon submission, the picture or video and other information is automatically processed and displayed on a map-based web page to give the dispatcher a real-time “birds-eye” view of incoming alerts. The system intelligently filters and organizes submissions so they can be efficiently managed, therefore allowing the dispatcher to handle many more submissions simultaneously identifying trends and patterns that may not be immediately obvious to a human observer.

Another aspect of the system is its “reverse 911” component for data-enabled mobile phones. When a threat to the public or individuals is identified, the dispatcher could instantly relay a message to individuals with cell phones or PDAs in a certain geographic area. Examples of such information could be the need to evacuate a particular area (e.g., hurricane) where the real-time control of when, where, and to whom such information is disseminated. Another example is distributing an Amber Alert photo of a missing child to the geographic area where the child was last seen. The project team has successfully implemented a prototype application that runs on a cell phone, reports the position of the phone to the server, and then, based on calculations against a Hillsborough County map, returns a text message to the phone with information on the hurricane evacuation zone that the individual is currently located in (i.e “You are in Evacuation Zone C, which is currently under a mandatory evacuation order”).

Final Report (pdf) (9.9 MB)

 
   Traveling Smart: Increasing Transit Ridership Through Automated Collection (TRAC) of Individual Travel Behavior Data and Personalized Feedback

Reducing vehicle trips and vehicle miles of travel (VMT) are part of a multifaceted approach that addresses the growing traffic congestion problems. Previous research analyzed household travel patterns and provided personalized advice to participants to encourage the reduction of vehicle trips and VMT. An analysis of covariance conducted on the average contributed VMT and vehicle trips used the post-advice period’s travel patterns as the dependent variable. The provision of suggestions had a statistically significant effect on VMT and trip numbers contributed. Overall, this experiment showed that the provision of feedback would reduce VMT.

However, the labor and time-intensive post-processing costs hampered widespread application. This project sought to overcome this limitation by using the expanded capabilities and falling prices of Personal Digital Assistants (PDA) and cellular phones in combination with Global Positioning Systems (GPS). This system, “TRAC-IT” offers an opportunity to improve the quality of collected data while reducing associated collection and processing costs and errors. 

Final Report (pdf)

 


 

 
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