Vehicle Communication Configuration for Mode-Adaptive Data Streaming
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle communication systems lack the ability to dynamically adjust data transmission based on changes in vehicle mode, state, or context, leading to inefficient resource allocation and suboptimal communication.
Innovation Solution
A computer-implemented method and system that enables onboard computing devices in vehicles to communicate various types of information to a remotely located computing system, modifying data stream parameters such as information types and transmission rates in response to changes in vehicle mode, state, or context, optimizing communication usage and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data transmission continues at a constant rate regardless of vehicle mode changes, then communication simplicity is maintained, but communication efficiency and resource allocation deteriorate
Solution Approach 1:
The patent implements dynamic adjustment of data transmission parameters based on vehicle mode changes. The system monitors vehicle mode state and automatically modifies data stream characteristics (such as transmission rate, data types, or communication frequency) to match the current operational context, thereby improving communication efficiency without requiring complex manual configuration
Solution Approach 2:
The system changes communication parameters dynamically in response to vehicle mode transitions. When the vehicle mode changes (e.g., from autonomous to manual operation), the system adjusts relevant communication parameters such as data transmission rate, selected data types, or communication intervals to optimize resource allocation for the current operational state
2Loss of information
If all types of information are transmitted continuously, then information completeness is maintained, but resource consumption increases
Solution Approach 1:
The patent applies different transmission strategies to different types of information based on their importance and relevance to the current vehicle mode. Critical safety-related data is transmitted continuously at high priority, while non-critical information is transmitted selectively or at lower rates, optimizing the balance between information completeness and resource consumption
Solution Approach 2:
The system transmits only the necessary subset of information required for the current vehicle mode rather than all available data. By identifying and transmitting only the relevant information types needed for the present operational context, the system maintains sufficient information completeness while significantly reducing overall resource consumption
3Reliability
If data transmission rate is increased to ensure information availability, then information reliability improves, but resource allocation efficiency deteriorates
Solution Approach 1:
The system dynamically adjusts the data transmission rate based on the current vehicle mode and information criticality. For high-priority information during critical modes, the transmission rate is increased to ensure reliability, while for non-critical information during stable modes, the rate is reduced to conserve energy, achieving adaptive optimization of both reliability and energy efficiency
Data Source
AI summary
The present disclosure is directed to configuring vehicle communications. In particular, a computing system comprising one or more computing devices physically located onboard a vehicle can communicate a plurality of different and distinct types of information associated with the vehicle to a remotely located computing system via a data stream transmitted from the vehicle to the remotely located computing system. The computing system can determine one or more changes in at least one of a mode, state, or context of the vehicle, and responsive to determining the change(s), the computing system can modify one or more parameters of the data stream transmitted from the vehicle to the remotely located computing system.


