Patent application number | Description | Published |
20100063715 | METHOD AND STRUCTURE FOR VEHICULAR TRAFFIC PREDICTION WITH LINK INTERACTIONS AND MISSING REAL-TIME DATA - A method and apparatus for predicting traffic on a transportation network where real time data points are missing. In one embodiment, the missing data is estimated using a calibration model comprised of historical data that can be periodically updated, from select links constituting a relationship vector. The missing data can be estimated off-line whereafter it can be used to predict traffic for at least a part of the network, the traffic prediction being calculated by using a deviation from a historical traffic on the network. The invention further discloses a method for in-vehicle navigation; and a method for traffic prediction for a single lane. | 03-11-2010 |
20130238390 | INFORMING SALES STRATEGIES USING SOCIAL NETWORK EVENT DETECTION-BASED ANALYTICS - A method of informing sales strategies using a social network includes receiving an input from an organization, wherein the input comprises information relating to an item for sale, extracting sales data from a first database, event history data from a second database, and action history data from a third database, wherein the sales data represents past sales of the item, the event history data represents past events, and the action history data represents past actions taken by the organization, establishing a connection with the social network via a communication network, monitoring a real-time data stream via the connection to the social network for mentions relating to the item, and generating an action recommendation relating to the item based on the sales data, event history data, action history data, and mentions relating to the item. | 09-12-2013 |
20140244158 | METHOD AND APPARATUS FOR PROVIDING NAVIGATIONAL GUIDANCE USING THE STATES OF TRAFFIC SIGNAL - A method and apparatus for predicting traffic on a transportation network where real time data points are missing. In one embodiment, the missing data is estimated using a calibration model comprised of historical data that can be periodically updated, from select links constituting a relationship vector. The missing data can be estimated off-line whereafter it can be used to predict traffic for at least a part of the network, the traffic prediction being calculated by using a deviation from a historical traffic on the network. The invention further discloses a method for in-vehicle navigation; and a method for traffic prediction for a single lane. | 08-28-2014 |
Patent application number | Description | Published |
20130066886 | METHOD FOR A NATURAL LANGUAGE QUESTION-ANSWERING SYSTEM TO COMPLEMENT DECISION-SUPPORT IN A REAL-TIME COMMAND CENTER - System and methods provide decision support by receiving suggested actions from a decision support system and automatically determining parameters of the suggested actions to serve as input to a question-answering system. System and methods also automatically generate questions based on the parameters, automatically search a corpus of unstructured data to retrieve answers to the questions, and automatically provide impact confidence values for each answer indicating the degree of impact the answers have on the suggested actions. The systems and methods can then output the questions, answers, and impact confidence values. | 03-14-2013 |
20130253808 | Estimating Incident Duration - A method, an apparatus and an article of manufacture for incident duration prediction. The method includes obtaining incident data for at least one traffic-related incident in a selected geographic area, obtaining traffic data for the selected geographic area, spatially and temporally associating the at least one traffic-related incident with the traffic data to generate incident duration data for the at least one traffic-related incident, and predicting incident duration of at least one additional traffic-related incident based on the incident duration data for the at least one traffic-related incident. | 09-26-2013 |
20140005916 | REAL-TIME TRAFFIC PREDICTION AND/OR ESTIMATION USING GPS DATA WITH LOW SAMPLING RATES | 01-02-2014 |
20140309976 | PERFORMING-TIME-SERIES BASED PREDICTIONS WITH PROJECTION THRESHOLDS USING SECONDARY TIME-SERIES-BASED INFORMATION STREAM - A prediction modeling system, method and computer program product for implementing forecasting models that involve numerous measurement locations, e.g., urban occupancy traffic data. The method invokes a data volatility reduction technique based on computing a congestion threshold for each prediction location, and using that threshold in a filtering scheme. Through the use of calibration, and by obtaining an extremal or other specified solution (e.g., maximization) of empirical volume-occupancy curves as a function of the occupancy level, significant accuracy gains are achieved and at virtually no loss of important information to the end user. The calibration use quantile regression to deal with the asymmetry and scatter of the empirical data. The argmax of each empirical function is used in a unidimensional projection to essentially filter all fully congested occupancy level and treat them as a single state. | 10-16-2014 |
20140309977 | PERFORMING-TIME-SERIES BASED PREDICTIONS WITH PROJECTION THRESHOLDS USING SECONDARY TIME-SERIES-BASED INFORMATION STREAM - A prediction modeling system and computer program product for implementing forecasting models that involve numerous measurement locations, e.g., urban occupancy traffic data. The system a data volatility reduction technique based on computing a congestion threshold for each prediction location, and using that threshold in a filtering scheme. Through the use of calibration, and by obtaining an extremal or other specified solution (e.g., maximization) of empirical volume-occupancy curves as a function of the occupancy level, significant accuracy gains are achieved and at virtually no loss of important information to the end user. The calibration use quantile regression to deal with the asymmetry and scatter of the empirical data. The argmax of each empirical function is used in a unidimensional projection to essentially filter all fully congested occupancy level and treat them as a single state. | 10-16-2014 |
20140379681 | CROSS-CHANNEL SOCIAL SEARCH - Search results are received that were generated by a search engine in response to a search query entered by a user. The search results include a first result which contains a first set of identifying data. The first result is matched with a first profile on a first social network which is merged with a second social network. The first profile contains a second set of identifying data which satisfies matching criteria for similarity with the first set of identifying data. | 12-25-2014 |
20150088406 | METHOD AND SYSTEM FOR OPTIMIZING ROAD TRAFFIC CONTROL IN THE PRESENCE OF INCIDENTS - A method (and structure) for adjusting control parameters of a traffic management system in a presence of one or more incidents on a network, including representing, using a tree format, a prioritization across network junctions prior to an incident. An incident-affected junction is elevated higher in priority on the tree, depending upon a severity level of the incident. Weights are associated with each junction as a function of its height in the tree. A real-time optimization of the control parameters for the network is solved, using the weights on the junctions. | 03-26-2015 |