United Services Automobile Association (usaa)

Kristopher Williams

Reynaldo Medina, Iii

Mark Anthony Lopez

Nikhil Dama

Ting Lu

Laura Frisbie Evans

Christopher Ryan Haberland

Amy Daali

Simon Phillip Stolarczyk

A parking availability predictor system provides a prediction of parking availability that meets a user's specified needs. When the user submits a query for parking availability, he can include desired parking criteria such as location, handicapped status, and desired time to begin parking. The system consults a parking occupancy model which gathers current and historical information about parking occupancy, including parking durations and durations of vacancies between occupancies. The model processes the gathered information into a statistical predictor of parking occupancy and vacancy. The system uses the predictor to predict when parking that meets the user's needs will become available. That prediction, including user-suitable parking locations along with the expected start of their vacancies, is then sent to the user in answer to his query.

Predicting parking availability

Predictive mapping technology is used to route a telephone call from a user to a customer service representative. The disclosed technology can use any one or more of the following factors to map a telephone call from a user to a customer service representative: (1) a sentiment score based on a topic of conversation; (2) an experience score of the customer service representative with a topic of conversation; and (3) a performance score of the customer service representative in managing a topic of conversation.

Predictive mapping for routing telephone calls

A micro-hazard monitoring system detects and addresses micro-hazards in a user's environment. The system directs the user to traverse the environment, gathering mapping data for the space and objects found there. The system maps the user's environment, noting the locations and types of objects. Movement and wear simulations are performed on the mapped space advancing time to estimate the likelihood of damaging user/object interactions and the extents of any resulting damage, based on information in that map, the system notes potential problems and computes one or more micro-hazard scores reflecting the nature and severity of the potential problems. If a score so warrants, the system takes remedial action to address the micro-hazard, such as warning the user about the existence of the micro-hazard and potentially what to do about it and/or taking a direct action such as shutting off an electronic device.

Detecting and addressing micro-hazards

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San Antonio, TX, United States of America

Kristopher Williams