Vehicle Routing Using Wireless Performance Scoring for ADAS Continuity
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Solution Overview
Problem
The increasing adoption of advanced wireless network technologies, such as 5G, leads to reduced network performance for individual devices due to limited resources, causing gaps in coverage and hindering sophisticated driving assistance features in vehicles, which may result in unsafe transitions between different levels of assistance or trip aborts.
Innovation Solution
A system that utilizes wireless network performance data to score path segments based on their ability to support specific driving assistance features, enabling dynamic route planning to maintain consistent high-level assistance capabilities by switching to alternative features when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If advanced wireless network technology is adopted to increase speed and connect more devices, then network speed and connectivity are improved, but network range is reduced and individual device performance deteriorates
Solution Approach 1:
The routing system dynamically adjusts vehicle paths based on real-time network performance data. Instead of using static routes, the system continuously monitors network conditions and recalculates optimal paths to maintain consistent network performance levels, allowing vehicles to transition between different network conditions while preserving driving assistance capabilities.
Solution Approach 2:
The system changes the parameter being optimized for routing from traditional factors (distance, time) to network performance parameters. By scoring path segments based on network performance metrics and using these scores to determine optimal routes, the system ensures vehicles maintain access to required network performance levels for driving assistance features.
2Adaptability or versatility
If more mobile devices connect to a single wireless access point, then network capacity and connectivity are improved, but bandwidth per device is reduced
Solution Approach 1:
The system performs preliminary routing calculations based on predicted network performance conditions. By pre-scoring path segments with network performance data and planning routes in advance that account for anticipated bandwidth limitations, the system prevents vehicles from entering situations where network performance would degrade below required thresholds.
Solution Approach 2:
The system implements continuous feedback loops where network performance data is collected, analyzed, and used to adjust routing decisions in real-time. This feedback mechanism allows the system to respond to changing network conditions and maintain optimal bandwidth utilization for driving assistance features.
3Area of stationary object
If network performance varies along different path segments, then network coverage is improved, but consistency of driving assistance capability is reduced
Solution Approach 1:
The system divides the routing problem into discrete path segments, each scored based on its network performance characteristics. By evaluating and scoring individual segments rather than treating routes as continuous paths, the system can identify and avoid segments with insufficient network performance, ensuring consistent driving assistance capability throughout the journey.
Solution Approach 2:
The routing system serves multiple functions simultaneously: it provides traditional navigation while also ensuring network performance requirements are met for driving assistance features. This multi-functionality allows the same routing infrastructure to support both general navigation and specialized performance-based routing needs.
4Ease of operation
If traditional routing methods are used without network performance consideration, then routing simplicity is maintained, but driving assistance capability consistency is compromised
Solution Approach 1:
The system automatically collects network performance data, scores path segments, and generates optimized routes without requiring manual intervention. The routing process self-adjusts based on network conditions, maintaining simplicity for users while internally handling the complexity of performance-based route optimization.
Data Source
AI summary
Systems and methods for vehicle routing may be based on wireless network performance data. A vehicle route includes one or more path segments included in the route based on the wireless performance data. The vehicle route may be updated based on updated wireless performance data. Driving assistance features of a vehicle may be enabled by the wireless performance data, and different driving assistance features may be enabled or disabled on the vehicle route according to changes in wireless performance data. As the vehicle traverses the route, the driving assistance features may be enabled or disabled based on the wireless performance data for the path segment. The vehicle route may be updated to continue to enable a set of the driving assistance features.