Vehicle Route Assessment Using Predicted Bandwidth Coverage
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Solution Overview
Problem
Existing vehicle navigation systems do not effectively prioritize routes based on cellular and non-cellular communication bandwidth, leading to unsatisfactory user experiences due to insufficient signal strength and coverage, which can result in poor performance of internet-dependent applications.
Innovation Solution
A vehicle route assessing system that determines potential navigation routes and predicts bandwidth capacity along these routes using statistical data from a remote vehicles management system, allowing for the selection of routes with optimal bandwidth and improved user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional navigation systems select routes based only on distance and time, then route calculation is simple and fast, but user experience deteriorates due to poor bandwidth and insufficient signal coverage
Solution Approach 1:
The system performs preliminary actions by collecting bandwidth and signal strength data from multiple vehicles along potential routes before the user travels. This historical data is stored and processed in advance, allowing the route assessment system to predict communication quality without requiring complex real-time measurements during travel.
Solution Approach 2:
A remote server acts as an intermediary between vehicles and the route assessment system. The server collects communication data from multiple vehicles, processes it to create bandwidth predictions, and provides this processed information to the route assessment system, simplifying the overall architecture.
2Measurement precision
If the system collects real-time communication data from multiple vehicles to assess routes, then bandwidth prediction accuracy improves, but data collection complexity and processing time increase
Solution Approach 1:
Communication data from multiple vehicles is collected and processed in advance before route assessment is needed. The system pre-calculates bandwidth predictions for various route sections and stores this information for quick retrieval during route planning.
Solution Approach 2:
The remote server performs multiple functions: collecting data from numerous vehicles, processing this data into meaningful bandwidth predictions, storing the processed information, and serving multiple route assessment requests. This multi-functionality consolidates complex operations into a single system.
3Adaptability or versatility
If the system assesses multiple potential routes with detailed bandwidth analysis, then route selection quality improves, but system complexity and computational load increase
Solution Approach 1:
The system divides the route assessment process into separate functional modules: a route determination unit that identifies potential routes, a bandwidth prediction unit that assesses communication quality, and a route suggestion unit that recommends optimal paths. This segmentation allows each module to specialize in one task.
Solution Approach 2:
The remote server acts as an intermediary that handles the complex computational tasks of data collection and bandwidth prediction, allowing the vehicle's onboard route assessment system to remain relatively simple while still accessing sophisticated analysis results.
Data Source
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AI summary
The present disclosure relates to a method performed by a vehicle route assessing system (1) for assessing one or more navigation routes of a vehicle (2) in consideration of cellular and/or non-cellular communication of an Internet connection system (21) of the vehicle. The vehicle route assessing system determines (1001) - with support from a navigation system (22) of the vehicle - one or more potential vehicle navigation routes (3, 4) from a start position (31) to a target position (32). The vehicle route assessing system further determines (1002) - with support from a remote vehicles management system (5) supporting communication with one or more vehicles (6) - respective predicted bandwidth capacity available to the Internet connection system along one or more route sections (35) of the one or more potential routes (3, 4). The respective predicted bandwidth capacity is based on statistical bandwidth data derived from previous data (7) gathered by the remote vehicles management system, which previous data indicates previous bandwidth capacities experienced by Internet connection systems of vehicles having previously been positioned along, and/or in vicinity of, the one or more route sections. The disclosure also relates to a vehicle route assessing system in accordance with the foregoing, and a vehicle comprising such a vehicle route assessing system.