Systems and methods for context-aware and personalized access to visualizations of road events
Abstract:
The present disclosure is directed to systems and methods for context-aware and personalized access to data corresponding to an event. The data is related to multiple predefined parameters including a location, date, time, and a classifier representing a status or an impact intensity for the event. The method includes receiving the data and an event type for the data. The event type is selected from multiple predefined event types. The method also includes creating a hierarchical data structure configured to spatially index the data based on the selected event type. The hierarchical data structure includes a node representing the selected event type. The node is augmented using a linked list for referring to the data to be stored in a database. The node is associated with a frequency of occurrence of the selected event type.
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