Route Data Generation Using Vehicle Signal Quality
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Solution Overview
Problem
Existing route planning methods do not effectively utilize connectivity data from vehicles to improve route accuracy, particularly in terms of signal quality, leading to suboptimal navigation and network coverage.
Innovation Solution
A method that collects and processes vehicle data, including signal strength and frequency data, to generate route data that considers real-time connectivity conditions, enabling more accurate navigation and network optimization by using a combination of vehicle and cloud-based computing units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional route planning methods are used that only consider route length and travel time, then the routing system remains simple and fast, but the route accuracy and network coverage optimization are suboptimal
Solution Approach 1:
The system performs preliminary actions by collecting and storing signal strength data from multiple vehicles in advance, creating a database of geographical regions with varying signal qualities before route planning is needed. This pre-collected data is then quickly retrieved during route planning, improving accuracy without adding significant computational complexity during the routing decision process
Solution Approach 2:
The patent introduces an intermediary database that stores signal quality data collected from vehicles. This database acts as a mediator between the complex data collection process and the simple route planning algorithm, allowing traditional routing methods to be enhanced with connectivity information without directly increasing the complexity of the routing system itself
2Reliability
If real-time signal strength data from multiple vehicles is collected and processed, then the route planning accuracy and network coverage are improved, but the data processing complexity and computational requirements increase
Solution Approach 1:
Signal strength data from multiple vehicles is collected and stored in a database in advance, before route planning is performed. This pre-processing of connectivity data eliminates the need for complex real-time calculations during routing, as the system only needs to query pre-analyzed signal quality information for different geographical regions
Solution Approach 2:
The system uses data that is already available from vehicles through their existing connectivity infrastructure. Vehicles naturally generate and transmit signal strength data as part of their normal operation, and the route planning system leverages this self-generated data without requiring additional specialized sensors or complex data collection mechanisms
3Loss of information
If vehicle data is logged and transmitted to cloud computing units, then valuable statistics for network enhancement are obtained, but the data transmission and processing overhead increases
Solution Approach 1:
The system extracts only the essential signal strength and positional data from vehicle telemetry streams, separating this critical connectivity information from other vehicle data. By extracting only the necessary parameters for route planning, the system minimizes data transmission overhead while retaining the most valuable information for improving route accuracy and network coverage analysis
Data Source
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AI summary
A computer-implemented method (100) for providing route data for a vehicle (50), comprising the step of providing (110) signal quality data related to a wireless network for a geographical region (60) comprising vehicle data of a plurality of vehicles, whereby the vehicle data comprise vehicle position data associated with signal strength data and signal frequency data, another step of providing (120) destination data for the vehicle (50) and a step of generating (130), by the vehicle (50) and/or a separate computing unit, the route data for the vehicle (50) based on the signal quality data and the destination data for the vehicle (50).