Abstract: An approach is provided in which the approach generates a parallel chart based on multiple records that includes a set of variable values corresponding to a set of variables. To generate the parallel chart, the approach arranges the set of variables on the parallel chart in a variable order based on at least one variable arrangement rule. The approach arranges an initial variable value order for each one of the set of variables, and computes a lucidity score based on the variable order and the initial variable value order of each of the set of variables. The lucidity score is a measurement of the clarity of the parallel chart. The approach adjusts the variable value order of at least one of the set of variables to increase the lucidity score and optimizes the clarity of the parallel chart based on the adjusted variable value order.

Abstract: A computer-implemented method, system and computer program product for automatically drawing infographics. Variables of a dataset are received from a computing device that were selected by the user of the computing device. For those selected variables that are associated with a data model, a procedure to draw infographics for variables assigned or not assigned the role of a target using the data model associated with each of the variables assigned or not assigned the role of target, respectively, is implemented. Alternatively, if the selected variables are not associated with a data model, then such variables are assigned a level of measurement as well as assigned the role of input. Such assignments become the data model which, along with the metadata (e.g., values of the variable) obtained by parsing the original data, are used to implement the procedure to draw infographics for variables not assigned the role of a target.

Abstract: A computer-implemented method, system and computer program product for generating visualizations for semi-structured data. Visualization data is extracted from infographics depicting semi-structured data. The visualization data that is extracted includes the traits or characteristics of the semi-structured data depicted in the infographics (e.g., dimension), the characteristics of the infographics (e.g., location of the depicted data), and the constraints or display requirements (e.g., display target value in a particular axis). A trait and constraint rule set is then generated based on the extracted visualization data. The trait and constraint rule set includes a set of rules that maps the display requirements to the particular set of traits or characteristics exhibited by the semi-structured data displayed in the infographics.

Abstract: A method, system and computer program product are provided for detecting vehicle queue events and managing traffic flow. A computing system recognizes whether a queue event occurred for each vehicle located in an area of interest based on collected vehicle data. The area of interest includes an intersection, and the vehicle data for the each vehicle includes location information and speed information. The location information further includes a distance to an intersection. The computing system identifies differences in queue length among queues in the area of interest based on the vehicle data and determines queue indicators for each of the queues in the area of interest. Based on queue indicators for each of the queues in in the area of interest generated over multiple sampling periods, traffic signal lights at the intersection in the area of interest are managed.

Abstract: A method, system and computer program product are provided for detecting vehicle queue events and managing traffic flow. A computing system recognizes whether a queue event occurred for each vehicle located in an area of interest based on collected vehicle data. The area of interest includes an intersection, and the vehicle data for the each vehicle includes location information and speed information. The location information further includes a distance to an intersection. The computing system identifies differences in queue length among queues in the area of interest based on the vehicle data and determines queue indicators for each of the queues in the area of interest. Based on queue indicators for each of the queues in in the area of interest generated over multiple sampling periods, traffic signal lights at the intersection in the area of interest are managed.

Abstract: A method, system and computer program product are provided for detecting vehicle queue events and managing traffic flow. A computing system recognizes whether a queue event occurred for each vehicle located in an area of interest based on collected vehicle data. The area of interest includes an intersection, and the vehicle data for the each vehicle includes location information and speed information. The location information further includes a distance to an intersection. The computing system identifies differences in queue length among queues in the area of interest based on the vehicle data and determines queue indicators for each of the queues in the area of interest. Based on queue indicators for each of the queues in in the area of interest generated over multiple sampling periods, traffic signal lights at the intersection in the area of interest are managed.

Abstract: A method, system and computer program product are provided for detecting vehicle queue events and managing traffic flow. A computing system recognizes whether a queue event occurred for each vehicle located in an area of interest based on collected vehicle data. The area of interest includes an intersection, and the vehicle data for the each vehicle includes location information and speed information. The location information further includes a distance to an intersection. The computing system identifies differences in queue length among queues in the area of interest based on the vehicle data and determines queue indicators for each of the queues in the area of interest. Based on queue indicators for each of the queues in in the area of interest generated over multiple sampling periods, traffic signal lights at the intersection in the area of interest are managed.