Abstract: Disclosed herein are system, method, and computer-readable device embodiments for automatically correcting erroneous license plate numbers generated by automatic license plate recognition. An embodiment operates by selecting a set of adjacent license plate recognition (LPR) stations comprising a first LPR station, a second LPR station, and a third LPR station, accessing an error pattern probability matrix for at least the third recognized license plate number accessed in relation to at least one of the first recognized license plate number or the second recognized license plate number differing from the third recognized license plate number, and determining a corrected license plate number based on the error pattern probability matrix. In some embodiments, LPR correction may be accurately realized even when an erroneous license plate numbers are missing characters, such as by visual obstruction from an LPR camera or sensor, or has no characters in common with the real license plate number.

Abstract: Disclosed herein are system, method, and computer program product embodiments for automatically detecting cloned vehicle identifiers. An embodiment operates by determining legitimate trajectory information and illegitimate trajectory information corresponding to vehicular travel in a geographic area, and training a decision model to detect a cloned vehicle identifier based on the legitimate trajectory information and the illegitimate trajectory information. Furthermore, the embodiment identifies vehicles potentially using a cloned vehicle identifier based on the decision model and common driving patterns within the geographic area. In some embodiments, enforcement agents are notified of the vehicles potentially using a cloned vehicle identifier.

Abstract: Disclosed herein are system, method, and computer program product embodiments for automatically detecting cloned vehicle identifiers. An embodiment operates by determining legitimate trajectory information and illegitimate trajectory information corresponding to vehicular travel in a geographic area, and training a decision model to detect a cloned vehicle identifier based on the legitimate trajectory information and the illegitimate trajectory information. Furthermore, the embodiment identifies vehicles potentially using a cloned vehicle identifier based on the decision model and common driving patterns within the geographic area. In some embodiments, enforcement agents are notified of the vehicles potentially using a cloned vehicle identifier.

Abstract: Disclosed herein are system, method, and computer-readable device embodiments for automatically correcting erroneous license plate numbers generated by automatic license plate recognition. An embodiment operates by selecting a set of adjacent license plate recognition (LPR) stations comprising a first LPR station, a second LPR station, and a third LPR station, accessing an error pattern probability matrix for at least the third recognized license plate number accessed in relation to at least one of the first recognized license plate number or the second recognized license plate number differing from the third recognized license plate number, and determining a corrected license plate number based on the error pattern probability matrix. In some embodiments, LPR correction may be accurately realized even when an erroneous license plate numbers are missing characters, such as by visual obstruction from an LPR camera or sensor, or has no characters in common with the real license plate number.

Abstract: Described herein is a descriptive framework to facilitate error detection in recognition data. In accordance with one aspect of the framework, at least one erroneous record is detected in a first set of recognition data. The framework may determine a correction of a first recognized identifier in the erroneous record by searching a second set of recognition data for a matching record with a second recognized identifier substantially similar to the first recognized identifier. A report may then be generated to present the detected erroneous record and the determined correction.

Abstract: Described herein is a framework to monitor traffic congestion. In accordance with one aspect of the framework, the framework receives vehicle data from vehicle data sources located in a region of interest. The framework may determine a sample size and an average speed for an edge of the region of interest based on the vehicle data. Congestion probability may then be determined based on the sample size and average speed. A report may be presented based on the congestion probability.

Abstract: Described herein is a framework to monitor traffic congestion. In accordance with one aspect of the framework, the framework receives vehicle data from vehicle data sources located in a region of interest. The framework may determine a sample size and an average speed for an edge of the region of interest based on the vehicle data. Congestion probability may then be determined based on the sample size and average speed. A report may be presented based on the congestion probability.

Abstract: Described herein is a descriptive framework to facilitate error detection in recognition data. In accordance with one aspect of the framework, at least one erroneous record is detected in a first set of recognition data. The framework may determine a correction of a first recognized identifier in the erroneous record by searching a second set of recognition data for a matching record with a second recognized identifier substantially similar to the first recognized identifier. A report may then be generated to present the detected erroneous record and the determined correction.

Abstract: A framework for identifying parking areas from vehicle trajectory data is described herein. Vehicle trajectory data collected from a sensor network having a plurality of sensor stations for detecting vehicles is provided. The vehicle trajectory data is pre-processed to generate a tracking table of vehicles and analyzed to determine an interstation parking area between first and second sensor stations of interest based on input parameters from a user.

Abstract: A framework for identifying parking areas from vehicle trajectory data is described herein. Vehicle trajectory data collected from a sensor network having a plurality of sensor stations for detecting vehicles is provided. The vehicle trajectory data is pre-processed to generate a tracking table of vehicles and analysed to determine an interstation parking area between first and second sensor stations of interest based on input parameters from a user.

Abstract: A method and system to obtain taxi location data for a plurality of taxis located in a geographic region; obtain street data for a plurality of streets operating in the geographic region, the street data defining a location of the plurality of streets; store the taxi location data and the street data in an in-memory database management system; generate a rating for the plurality of streets associated with at least one currently active taxi, the rating providing an indication of a likelihood the at least one currently active taxi is available for a fare; and provide an output of the rating.

Abstract: A method and system to obtain taxi location data for a plurality of taxis located in a geographic region; obtain street data for a plurality of streets operating in the geographic region, the street data defining a location of the plurality of streets; store the taxi location data and the street data in an in-memory database management system; generate a rating for the plurality of streets associated with at least one currently active taxi, the rating providing an indication of a likelihood the at least one currently active taxi is available for a fare; and provide an output of the rating.

Abstract: Techniques for providing software as a service for enterprise entities are described herein. In one embodiment, a first interface is provided to allow a client to browse over a network a plurality of standard content to be selected to use in one or more software applications used by the client, where the standard content is listed in one or more catalog and each catalog corresponding to a particular industrial usage. A second interface is provided to allow the client to subscribe a service of one or more specific categories selected from the standard content available via the first interface for a predetermined period of time, wherein during the predetermined period of time, the client can select one or more standard content from the subscribed categories and deploy the selected standard content in a system of the client without additional cost. Other methods and apparatuses are also described.

Abstract: Techniques for providing an integrated content marketplace for software content services are described herein. According to one embodiment, multiple categories of application content are displayed, each category including content items to be browsed and each of the content items selectable to be deployed in an enterprise application. In response to a search request for searching a content item, the categories are searched based on one or more keywords and a search result is displayed. In response to a demand from a user, a request form is presented to allow a user to specify one or more requirements of a specific content item not available from the categories, where the specific content item is to be developed specifically tailored to a specific need of the user. Other methods and apparatuses are also described.

Abstract: Techniques for providing software as a service for enterprise entities are described herein. In one embodiment, a first interface is provided to allow a client to browse over a network a plurality of standard content to be selected to use in one or more software applications used by the client, where the standard content is listed in one or more catalog and each catalog corresponding to a particular industrial usage. A second interface is provided to allow the client to subscribe a service of one or more specific categories selected from the standard content available via the first interface for a predetermined period of time, wherein during the predetermined period of time, the client can select one or more standard content from the subscribed categories and deploy the selected standard content in a system of the client without additional cost. Other methods and apparatuses are also described.