Georeferenced Predictive Information Distribution for Motor Vehicles
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Solution Overview
Problem
Current methods for distributing georeferenced predictive information to motor vehicles require high communication bandwidth and transmit irrelevant information, leading to high transmission costs and inefficiency.
Innovation Solution
A system where backend servers receive vehicle route information, reconstruct the route on a server-side digital map, identify relevant predictive information, convert it to a vehicle-specific format, and transmit only the relevant data, allowing vehicles to construct their digital maps efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If georeferenced predictive information is distributed to a fleet of vehicles over a wireless communication system, then vehicles can access relevant location-specific data, but communication bandwidth requirements increase and transmission costs rise
Solution Approach 1:
The patent extracts and transmits only the specific portion of georeferenced predictive information that is relevant to each vehicle's current location and route, rather than distributing the entire dataset to all vehicles. This selective extraction reduces communication bandwidth requirements while ensuring each vehicle receives the location-specific data it needs.
Solution Approach 2:
The patent segments the fleet of vehicles into different geographic zones or regions, and distributes information tailored to each segment. By dividing the vehicle fleet and corresponding information distribution into location-based segments, the system reduces overall transmission volume while maintaining reliable access to relevant data for each segment.
2Reliability
If comprehensive georeferenced predictive information is transmitted to all vehicles, then complete data coverage is achieved, but irrelevant information increases transmission overhead
Solution Approach 1:
The patent applies local quality by providing different information content to different vehicles based on their specific locations and routes. Each vehicle receives information with quality and relevance tailored to its local context, ensuring complete coverage of relevant data while avoiding transmission of irrelevant information that would reduce transmission efficiency.
3Quantity of substance
If location-specific predictive information is provided to each vehicle, then transmission costs are reduced, but system complexity increases due to personalized data processing
Solution Approach 1:
The patent introduces a backend server system as an intermediary that performs the complex task of identifying and selecting relevant predictive information for each vehicle based on location and route data. This intermediary handles the personalized data processing complexity centrally, reducing the burden on individual vehicles while maintaining reduced transmission data volumes.
Data Source
AI summary
Georeferenced predictive information is provided by a backend server system to vehicles. Such provided predictive information may be specifically relevant to a provided planned or estimated route of the particular vehicle, and may be used by the vehicle to reconstruct a digital map specific to such planned or estimated route.