Scenic Rating Generation for Electronic Map Segments
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Solution Overview
Problem
Conventional navigation systems focus on efficient route planning based on objective criteria like time and distance but fail to account for user preferences for enjoyable routes, lacking methods to generate routes that are scenic or pleasurable.
Innovation Solution
A method to determine a scenic rating for segments of an electronic map by analyzing positional data from devices, filtering data based on mode of transport and time of traversal to identify recreational travel patterns, and using these parameters to calculate a scenicity rating for each segment, which is then associated with the segment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional navigation systems use objective criteria like time and distance for route planning, then route efficiency is improved, but user preference for enjoyable routes cannot be satisfied
Solution Approach 1:
The patent transforms the abstract concept of 'scenic quality' into measurable parameters by analyzing positional data patterns. It changes the parameter set used in route planning from purely efficiency-based (time, distance) to include scenic ratings derived from aggregated user movement data, enabling the system to accommodate diverse user preferences while maintaining objective measurement standards.
Solution Approach 2:
The patent introduces an intermediary layer between raw positional data and route planning decisions. This intermediary processes anonymized positional data to generate scenic ratings for road segments, which then serve as additional parameters for route planning algorithms. This mediator enables the system to incorporate subjective user experiences into objective routing decisions without compromising efficiency metrics.
2Measurement precision
If subjective assessments are used to determine scenic quality, then user preference accuracy is improved, but objectivity and consistency deteriorate
Solution Approach 1:
The patent implements a self-service mechanism where the system automatically collects, processes, and analyzes positional data from users to generate scenic ratings without requiring manual input or subjective assessment. Users implicitly contribute to the scenic quality measurement through their natural travel behavior patterns, and the system autonomously processes this data to produce consistent, objective scenic ratings that reflect collective user preferences.
Solution Approach 2:
The patent establishes a feedback loop where aggregated positional data from multiple users continuously refines the scenic ratings. The system collects positional information, processes it to determine scenic qualities, applies these ratings to route planning, and uses subsequent user behavior patterns to further refine the ratings. This iterative feedback mechanism ensures both accuracy in capturing user preferences and consistency in application across different routes and time periods.
3Quantity of substance
If positional data from all devices is analyzed without filtering, then data completeness is improved, but computational complexity and processing time increase
Solution Approach 1:
The patent extracts only the essential elements needed for scenic rating determination from the complete positional data set. It filters out redundant information by focusing specifically on movement patterns along road segments rather than processing all positional data points. This extraction approach maintains data completeness for scenic assessment purposes while significantly reducing computational complexity by eliminating unnecessary data processing.
Solution Approach 2:
The patent segments the analysis process into distinct stages: data collection, filtering by relevance, aggregation by road segment, and rating calculation. By dividing the comprehensive data analysis into these manageable segments, the system can process complete positional data through a structured approach that reduces overall computational complexity at each stage while maintaining the completeness of the final scenic quality assessment.
Data Source
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AI summary
A method of generating a scenic rating for segments of an electronic map involves obtaining probe data relating to the movement of a plurality of devices with respect to time in the area, and, for each one of a plurality of segments of the electronic map; identifying a set of positional data relating to the movement of devices along the navigable element represented by the segment, filtering the identified set of positional data relating to the movement of devices along the navigable element represented by the segment based on mode of transport to obtain one or more subset of the identified positional data relating to the movement of devices along the element represented by the segment which may be expected to relate to traversals of the navigable element for recreational purposes, using the or each obtained subset of the positional data to obtain one or more scenicity parameter which may be used in determining a scenic rating for the segment indicative of a scenicity of the navigable element represented by the segment, and using the one or more obtained scenicity parameter to determine a scenic rating for the segment.