V2X Route Selection Using ADAS Support Availability
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Solution Overview
Problem
Current Advanced Driver Assistance Systems (ADAS) rely on supplemental information from Vehicle-to-Everything (V2X) communication to enhance navigation and scheduling, but require a critical mass of V2X-capable entities, limiting their effectiveness without widespread deployment.
Innovation Solution
A crowdsourcing approach is implemented to provide information on the availability of V2X-capable entities along routes, allowing vehicles to choose routes with high ADAS support or prioritize autonomous driving based on the density of V2X-capable vehicles and infrastructure, using a central network to aggregate and update location and capability data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ADAS relies on supplemental information from V2X communication, then navigation and scheduling are enhanced, but a critical mass of V2X-capable entities is required which limits effectiveness without widespread deployment
Solution Approach 1:
The patent applies partial action by allowing ADAS to function with available V2X information even when complete coverage is not achieved. The system processes and utilizes supplemental information from whatever V2X-capable entities are present, rather than requiring a threshold density before providing any enhancement. This enables progressive improvement as deployment expands, rather than binary functionality.
2Productivity
If crowdsourcing approach is used to aggregate V2X capability data, then route selection can be optimized for ADAS availability, but system complexity increases due to central network aggregation requirements
Solution Approach 1:
The patent implements self-service by enabling individual vehicles to independently query and process V2X capability information from the central network, rather than requiring the central system to perform complex route optimization calculations. Each vehicle's onboard system autonomously evaluates route options based on aggregated data, distributing the computational burden and reducing central network complexity.
3Reliability
If real-time data on traffic densities and ADAS capabilities is provided, then driving safety and efficiency are improved, but data processing and communication requirements increase
Solution Approach 1:
The patent extracts only the essential V2X capability indicators needed for route selection and safety decisions, rather than processing complete real-time data streams from all sources. By selectively extracting relevant information elements (such as presence/absence of V2X entities, basic capability flags), the system achieves safety enhancement while minimizing data processing overhead and energy consumption.
Data Source
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AI summary
Embodiments of the disclosure are directed to the use of supplemental information received from Vehicle-to-Everything (V2X) capable entities in order to enhance navigation and route selection based on available advanced driver assistance systems (ADAS) functionality. A number of potential routes are evaluated by retrieving the V2X capabilities and locations from V2X capable entities along those routes. That information is used to assess traffic density and availability of supplemental information used by ADAS along each route, allowing for an evaluation of each route on travel time and ADAS support. The driver can then select the best route that supports their needs.