Route Finding System Avoiding Hazardous Turning Maneuvers
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Solution Overview
Problem
Conventional route-finding systems do not adequately account for the varying driving skills of users when determining the difficulty of routes, leading to potential safety issues for inexperienced drivers.
Innovation Solution
A route-finding system that assesses route difficulty based on user skill levels and incorporates both static and dynamic parameters, such as road geometry and traffic conditions, to provide safer route options for users, integrating a map database and route search system to determine optimal routes considering user abilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional route-finding systems use only standard route parameters (time, distance) without considering user skill levels, then route calculation is simple and fast, but road safety deteriorates for inexperienced drivers
Solution Approach 1:
The patent introduces new parameters (user skill level, route difficulty, maneuver difficulty) to the traditional route calculation system. By changing the parameter set from simple time/distance metrics to include qualitative assessments of driving difficulty and user capability, the system can provide safer routes for inexperienced drivers while maintaining computational feasibility through structured parameter integration.
Solution Approach 2:
The system dynamically adapts route recommendations based on the user's skill level. Instead of a static route calculation, the system adjusts route difficulty thresholds and maneuver selections according to the individual user's capabilities, making the routing behavior dynamic and personalized while managing complexity through modular adaptation logic.
2Adaptability or versatility
If route difficulty assessment is applied uniformly for all users regardless of skill, then calculation is simple, but route suitability deteriorates for individual users
Solution Approach 1:
The patent applies local quality by customizing route assessment to each user's specific skill level. Instead of a uniform assessment for all users, the system evaluates route difficulty and maneuver complexity relative to individual user capabilities, ensuring each user receives appropriately tailored route recommendations while managing complexity through localized adaptation to user profiles.
Solution Approach 2:
The system performs preliminary assessment of user skill levels and route characteristics before final route determination. By pre-evaluating user capabilities and route difficulty parameters in advance, the system prepares personalized routing criteria that simplify the final route selection process while improving individual suitability.
3Reliability
If the system considers multiple maneuver types and traffic situations to assess route difficulty, then route safety improves, but calculation time increases
Solution Approach 1:
The patent segments the route assessment into discrete maneuver types (turns, intersections, priority road crossings) and evaluates each segment independently based on its specific difficulty characteristics. This segmentation allows the system to consider multiple traffic situations and maneuver complexities without overwhelming computational burden, as each segment can be assessed using standardized difficulty criteria.
Solution Approach 2:
The system applies partial action by focusing assessment on critical maneuver segments rather than evaluating every road section in detail. By concentrating difficulty assessment on key decision points and hazardous maneuvers while using simplified evaluation for routine segments, the system achieves comprehensive safety assessment without excessive calculation time.
Data Source
AI summary
A route finding system has a map database containing node data and edge data, wherein nodes represent points on a route and edges represent the connections between the nodes. A route search system determining an optimal route according to prescribed route parameters, wherein a route comprises at least one partial route, and a partial route comprises at least one edge, considers the difficulty of the partial routes during route finding. The abilities of the user (101, 102, 103) and/or a user selection (105, 106, 107, 108) determine the influence of the difficulty of the partial routes on the route obtained during route search. Difficult partial routes are characterized by the necessity of carrying out difficult maneuvers, particularly turning maneuvers and/or crossing maneuvers, to complete the partial route.