Navigation Server Route Cost Correction for Driving Facility
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Solution Overview
Problem
Existing navigation systems fail to comprehensively consider various factors influencing traffic difficulty levels, leading to unstable driving experiences, especially in unfamiliar areas, as they only account for moving costs and not other influencing factors.
Innovation Solution
A navigation server that corrects moving costs based on static and dynamic factors such as road types, weather, and user-specific driving histories, transmitting updated cost information to clients for more accurate route planning, thereby enhancing user convenience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If navigation systems only consider moving costs for route planning, then calculation simplicity is maintained, but driving facility and user convenience deteriorate due to unstable driving experiences in unfamiliar areas
Solution Approach 1:
The patent transforms the route planning problem by changing the cost parameter from simple moving cost to a composite evaluation value that incorporates multiple factors including moving cost, static factors (road type, terrain, traffic rules), and dynamic factors (weather, time, traffic conditions). This parameter transformation allows the system to consider comprehensive driving conditions while maintaining the existing route calculation framework.
2Reliability
If navigation systems consider multiple factors influencing traffic difficulty levels, then driving facility is improved, but calculation complexity increases
Solution Approach 1:
The patent segments the route evaluation into distinct components: moving cost (basic transportation cost), static factors (road characteristics that remain constant), and dynamic factors (conditions that change over time). Each segment is evaluated separately and then integrated through a synthesis unit to produce the comprehensive evaluation value, allowing complex multi-factor analysis without overwhelming system complexity.
Solution Approach 2:
The patent introduces an evaluation value synthesis unit that acts as an intermediary between the various factor assessments and the final route determination. This synthesis unit integrates the moving cost, static factors, and dynamic factors through weighted combination or other aggregation methods, producing a unified evaluation value that guides route selection without requiring direct complex interaction between all factors.
3Ease of operation
If navigation systems use comprehensive factor analysis for route planning, then user convenience is enhanced, but information processing requirements increase
Solution Approach 1:
The patent performs preliminary classification and organization of factors into static and dynamic categories before the route calculation process. Static factors are pre-assessed based on road characteristics, while dynamic factors are updated based on current conditions. This preliminary action reduces the processing burden during actual route planning by having data ready in structured formats.
Solution Approach 2:
The patent implements a flexible factor inclusion strategy where not all factors need to be considered for every route calculation. The system can selectively apply factors based on the specific routing scenario, user preferences, and data availability. This partial action approach reduces data processing volume while still capturing the essential elements needed for effective route planning in given contexts.
Data Source
AI summary
Provided is a navigation server or the like capable of promoting enhancement of convenience in traffic of moving bodies with a comprehensive consideration of various factors of each link. There is found a server route R configured by link groups that connect a starting point p1 and a destination point p2 of a navigation client 2 of interest, the server route R having a minimum total value ΣC2 of second moving costs C2 in the link groups. The second costs C2 result from first moving costs C1 corrected based on various factors, such as combinations of “static factors” and “dynamic factors”.