Civic Address Confidence Engine Morphology Verification
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Solution Overview
Problem
Current systems face challenges in accurately determining the confidence level of civic addresses during enhanced 911 calls, leading to potential misdispatch of emergency services due to inaccuracies in geodetic location mapping.
Innovation Solution
The system retrieves morphology information from a database based on the geodetic location of user equipment (UE) to determine the confidence level of the civic address, using a civic address confidence engine that considers parcel and morphology data to assess the accuracy and provide the civic address to the public safety answer point (PSAP) only when the confidence level meets a configurable threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If geodetic location mapping is used to determine civic address, then emergency services can be dispatched automatically, but accuracy of civic address determination deteriorates leading to potential misdispatch
Solution Approach 1:
The patent introduces morphology information as an intermediary verification layer between geodetic location and civic address determination. The system retrieves morphology data (building footprints, parcel boundaries, structure locations) and uses it to validate whether the geodetic location correctly maps to the reported civic address, thereby improving accuracy without eliminating automatic dispatch
Solution Approach 2:
The system implements a feedback mechanism where the determined confidence level is used to control the dispatch decision. When confidence exceeds the threshold, automatic dispatch proceeds; when it falls below, the system flags the address for manual verification. This feedback loop ensures high-accuracy dispatches while maintaining productivity
2Reliability
If confidence level threshold filtering is applied, then dispatch accuracy is improved, but response time may increase due to additional verification steps
Solution Approach 1:
The patent applies partial verification by selectively retrieving morphology information only when needed to resolve ambiguous cases. The system performs quick initial assessment using available data, and only invokes full morphology-based verification when confidence is borderline or conflicting information exists, thereby minimizing additional processing time while maintaining high accuracy
Data Source
AI summary
Systems and methods are provided for using morphology to determine a confidence level of a civic address associated with an enhanced 911 call. After a request by a public safety answer point (PSAP) for a civic address corresponding to user equipment (UE) initiating a call for emergency services is received at a node, the node receives from the UE a geodetic location corresponding to the UE. The geodetic location corresponding to the UE is utilized to retrieve morphology information from a database. Based at least in part on the morphology information, a confidence level of the civic address can be determined. Upon the confidence level of the civic address satisfying a configurable threshold, the civic address is provided to the PSAP.


