Vehicle-Tuned Road Evaluation and Recommendation System
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Solution Overview
Problem
Current road planning often fails to accommodate future traffic needs and vehicle types, leading to sub-optimal road construction and safety issues, as existing navigation systems lack self-awareness of vehicle size constraints, making it difficult for drivers to avoid unsuitable routes.
Innovation Solution
A vehicle-based computing system that processes data on vehicle traits and environmental conditions to identify potentially problematic locations and recommends alternative routes, using a processor to analyze vehicle and environmental data from a network of vehicles to detect common issues and provide real-time navigation alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If road networks are built according to original plans to accommodate future traffic, then infrastructure stability is improved, but adaptability to changing vehicle types and traffic patterns deteriorates
Solution Approach 1:
The system dynamically adapts navigation recommendations based on real-time vehicle trait data and reported events. The navigation system transitions from static, pre-planned routes to dynamic, vehicle-specific route recommendations that adapt to changing traffic patterns and vehicle types, resolving the contradiction between road network stability and adaptability to vehicle types.
2Loss of information
If navigation systems provide comprehensive route information, then information completeness is improved, but system complexity deteriorates
Solution Approach 1:
The system pre-processes and stores vehicle trait data and road event data in databases before navigation queries. When a navigation request is made, the system quickly retrieves pre-analyzed information matching the vehicle's traits with suitable routes, providing comprehensive route information without requiring complex real-time analysis, thus reducing system complexity while maintaining information completeness.
3Reliability
If all roads are evaluated and improved, then overall road quality is improved, but resource efficiency deteriorates
Solution Approach 1:
The system identifies specific problem locations by analyzing reported events at particular geographic coordinates and matches them with vehicle traits. Instead of evaluating all roads uniformly, the system focuses resources on specific high-priority locations where events are frequently reported for particular vehicle types, improving road quality locally while maintaining resource efficiency.
Data Source
AI summary
A system includes a processor configured to receive data indicating a detected vehicle-event, event location, and vehicle traits. The processor is also configured to add the data to a combined set of events occurring within a predefined proximity of the location. The processor is further configured to determine, from the set, a common vehicle trait, responsive to occurrence of the events in the set exceeding a threshold, for the location and designate the location as likely to cause the event for vehicles having the trait.