Geodata Correction via Mobile User Feedback
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Solution Overview
Problem
Geodata stored in GIS systems often contains inaccuracies, which can be due to outdated GPS data and lack of efficient methods for users to correct location markers on maps, requiring manual human intervention for updates.
Innovation Solution
A method using mobile communication devices to allow users to input corrections directly to a map management resource, which assesses the credibility of the user and updates geodata based on feedback from multiple users, incorporating location information and metadata for accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If GPS data is collected before May 2000, then location information is available, but accuracy deteriorates due to selective availability
Solution Approach 1:
The system performs preliminary actions by collecting location information through multiple conventional methods (GPS, mobile network triangulation, WiFi access point data) before final map data generation, and maintains multiple data sources ready for substitution when accuracy issues arise
Solution Approach 2:
The system changes parameters by switching between different location detection methods based on accuracy requirements, using modern high-accuracy GPS receivers with WAAS and GLONASS integration, and adjusting data collection strategies based on temporal parameters (avoiding pre-May 2000 data)
2Measurement precision
If manual correction of geodata is performed, then accuracy of map markers is improved, but productivity deteriorates due to manual human intervention
Solution Approach 1:
The system implements feedback mechanisms where users can report inaccurate map markers through the mobile device interface, and the system processes these corrections automatically by comparing multiple data sources and updating the database without requiring manual human intervention for each correction
Solution Approach 2:
The system performs self-service by automatically detecting inaccuracies through multiple conventional location methods, comparing them against stored map data, and autonomously correcting discrepancies without requiring manual human review or intervention
3Reliability
If multiple conventional location methods are used, then reliability of position detection is improved, but device complexity increases
Solution Approach 1:
The mobile device leverages universal multi-functionality by utilizing existing conventional location detection capabilities already present in smartphones (GPS receiver, mobile network triangulation, WiFi positioning) without adding specialized dedicated hardware, thereby improving reliability through method diversity while avoiding increased device complexity
Data Source
AI summary
A mobile communication device initiates display of a point of interest as being located at particular coordinates on a map. In response to receiving an input command from a user of the mobile communication device indicating that the particular location of the point of interest as specified by the map is incorrect, the mobile communication device forwards a communication (specifying a location of the mobile communication device and an identity of the point of interest) over a network to a map management resource. Based on feedback from the mobile communication device, the map management resource updates map data an actual location of the point of interest as opposed to an incorrect location as specified by the particular coordinates on the map. Subsequent distribution of the updated map information from the map management resource specifies the proper coordinates of the point of interest in the geographical region.