Patents by Inventor Eduardo Cardenas Sanchez
Eduardo Cardenas Sanchez has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11157860Abstract: A system and method for motivating parking enforcement officer performance with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: GrantFiled: August 26, 2016Date of Patent: October 26, 2021Assignee: Conduent Business Services, LLCInventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Gaurang Gavai, Robert T. Krivacic, Sureyya Tarkan
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Patent number: 11144855Abstract: A system and method for managing coverage of parking enforcement for a neighborhood with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: GrantFiled: August 26, 2016Date of Patent: October 12, 2021Assignee: Conduent Business Services, LLCInventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Hoda Eldardiry, Gaurang Gavai, Robert T. Krivacic
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Patent number: 11126942Abstract: A system and method for facilitating parking enforcement officer performance in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: GrantFiled: August 26, 2016Date of Patent: September 21, 2021Assignee: Conduent Business Services, LLCInventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Hoda Eldardiry, Gaurang Gavai, Lu (Kate) Jia, Robert T. Krivacic, Sureyya Tarkan
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Patent number: 11120375Abstract: A system and method for monitoring parking enforcement officer performance with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: GrantFiled: August 26, 2016Date of Patent: September 14, 2021Assignee: Conduent Business Services, LLCInventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Hoda Eldardiry, Gaurang Gavai, Lu (Kate) Jia, Robert T. Krivacic, Pai Liu, Sureyya Tarkan
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Patent number: 11062241Abstract: A system and method for facilitating parking enforcement officer dispatching in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: GrantFiled: August 26, 2016Date of Patent: July 13, 2021Assignee: Conduent Business Services, LLCInventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Hoda Eldardiry, Gaurang Gavai, Robert T. Krivacic, Pai Liu, Sureyya Tarkan
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Patent number: 10817814Abstract: A system and method for coordinating parking enforcement officer patrol in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and ongoing activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: GrantFiled: August 26, 2016Date of Patent: October 27, 2020Assignee: Conduent Business Services, LLCInventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Hoda Eldardiry, Gaurang Gavai, Robert T. Krivacic, Sureyya Tarkan
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Publication number: 20180060790Abstract: A system and method for coordinating parking enforcement officer patrol in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and ongoing activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: ApplicationFiled: August 26, 2016Publication date: March 1, 2018Inventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Hoda Eldardiry, Gaurang Gavai, Robert T. Krivacic, Sureyya Tarkan
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Publication number: 20180060798Abstract: A system and method for facilitating parking enforcement officer dispatching in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: ApplicationFiled: August 26, 2016Publication date: March 1, 2018Inventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Hoda Eldardiry, Gaurang Gavai, Robert T. Krivacic, Pai Liu, Sureyya Tarkan
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Publication number: 20180060796Abstract: A system and method for monitoring parking enforcement officer performance with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: ApplicationFiled: August 26, 2016Publication date: March 1, 2018Inventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Hoda Eldardiry, Gaurang Gavai, Lu (Kate) Jia, Robert T. Krivacic, Pai Liu, Sureyya Tarkan
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Publication number: 20180060795Abstract: A system and method for facilitating parking enforcement officer performance in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: ApplicationFiled: August 26, 2016Publication date: March 1, 2018Inventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Hoda Eldardiry, Gaurang Gavai, Lu (Kate) Jia, Robert T. Krivacic, Sureyya Tarkan
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Publication number: 20180060797Abstract: A system and method for managing coverage of parking enforcement for a neighborhood with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: ApplicationFiled: August 26, 2016Publication date: March 1, 2018Inventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Hoda Eldardiry, Gaurang Gavai, Robert T. Krivacic
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Publication number: 20180060783Abstract: A system and method for motivating parking enforcement officer performance with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: ApplicationFiled: August 26, 2016Publication date: March 1, 2018Inventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Gaurang Gavai, Robert T. Krivacic, Sureyya Tarkan
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Publication number: 20150006264Abstract: A method, non-transitory computer readable medium, and apparatus for dynamic pricing of a parking space are disclosed. For example, the method determines a fraction high fraction low (FHFL) based on one or more co-variates for a future time interval, determines a rate change for the parking space based on the FHFL, applies the rate change to a pre-calculated rate for the parking space for the future time interval to determine an updated rate and publishes the updated rate.Type: ApplicationFiled: July 1, 2013Publication date: January 1, 2015Inventors: Stéphane CLINCHANT, Eduárdo Cárdenas Sánchez, Christopher Roger Dance, Onno Rutger Zoeter
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Publication number: 20140012637Abstract: A method, system and processor-readable medium for detecting traffic delays A transfer time sample can be analyzed from ticketing data (e.g., ticket validation timestamps) that includes data indicative of a plurality of stops. An optimal set of stop pairs can be selected from among the plurality of stops based on a plurality of factors including a coverage, a volume and a distance between at least two stops among the plurality of stops. A structural outlier associated with the transfer time sample can be then detected in order to detect traffic delays determined from the optimal set of stop pairs selected from among the plurality of stops. Note that such a structural outlier can comprise an outlier in a spatio-temporal series collected from the transfer time sample.Type: ApplicationFiled: July 19, 2012Publication date: January 9, 2014Applicant: Xerox CorporationInventors: Boris Chidlovskii, Eduardo Cárdenas Sánchez