Navigation Route Selection Using Road Condition Values
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Solution Overview
Problem
Existing navigation systems for road traffic do not effectively account for the quality and nature of road conditions, which affects driver comfort and vehicle stress, when determining vehicle routes.
Innovation Solution
A method and device that consider a condition value representing road conditions and a default value representing preferred road quality, independent of road category, to select route segments that minimize vehicle excitations, using sensor data and digital maps, ensuring optimal route selection based on comfort criteria while avoiding unacceptable increases in driving time or distance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If navigation systems select routes based on traditional criteria (distance, time, road category), then routing efficiency is maintained, but driver comfort and vehicle stress are not optimized due to ignoring road condition quality
Solution Approach 1:
The system performs preliminary actions by pre-calculating condition values for all route segments and storing them in advance. When a route needs to be determined, the pre-computed condition values are readily available for comparison, eliminating the need for real-time complex analysis of road conditions during route selection
Solution Approach 2:
The route is divided into discrete route segments, each with its own condition value. This segmentation allows the system to evaluate and compare individual segment conditions independently, making the overall route selection process more manageable and systematic rather than analyzing entire routes as single entities
2Ease of operation
If the system evaluates multiple route segments with condition values to find optimal routes, then driver comfort is improved, but calculation time and processing requirements increase
Solution Approach 1:
Condition values for all route segments are calculated and stored in advance before actual route determination is needed. This preliminary computation eliminates the need for time-consuming real-time analysis when a route must be selected, as the evaluation data is already prepared and available
Solution Approach 2:
The system transforms complex road condition assessments into simplified numerical condition values that can be easily compared and processed. By converting qualitative road conditions into quantitative parameters, the system enables rapid comparison and selection without requiring complex real-time analysis
3Object-affected harmful factors
If route segments are selected based on condition values representing road quality, then vehicle stress and excitations are reduced, but the system requires additional data processing and storage capabilities
Solution Approach 1:
The system extracts only the essential condition value parameter from complex road condition data, separating this key information from other unnecessary details. This extraction approach allows the system to focus on the most relevant factor (road quality) while ignoring extraneous information, simplifying data processing and storage requirements
Solution Approach 2:
Complex road condition characteristics are transformed into simplified numerical condition values that directly represent road quality. This parameter transformation converts multifaceted road condition assessments into single comparable metrics, reducing data complexity while preserving the essential information needed for route selection
Data Source
AI summary
A method for determining a route (100) for a vehicle. When selecting a route segment (110, 112) of the route (100), a condition value assigned to the route segment (110, 112) and a default value associated with the route (100) are taken into account. The condition value represents a road condition of the route segment (110, 112) and the default value represents a road quality that is preferred for the route (100) and is independent of a road category.