Adaptive Vehicle Data Collection via Dynamic Grouping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle data collection systems face network overload and increased costs due to increased bandwidth and storage requirements, with existing methods not considering network load and driving environment when collecting data, which can affect vehicle control and safety.
Innovation Solution
A method and apparatus that adaptively select data collection vehicles for each data item using a real-time grouping algorithm, dynamically allocating data collection targets based on vehicle location, road, model, and driving conditions to distribute network load and prevent repeated data collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If vehicle data is collected from all vehicles for all data items, then data completeness is improved, but network load and bandwidth requirements increase
Solution Approach 1:
The patent segments the data collection task by dividing vehicles into groups based on driving environments and data item types. Instead of collecting all data items from all vehicles, the system selectively assigns specific data items to specific vehicles within groups, reducing overall network bandwidth requirements while maintaining data completeness through strategic selection.
Solution Approach 2:
The patent implements dynamic data collection by continuously monitoring driving environments and adjusting data collection targets in real-time. The system adaptively selects which vehicles should collect which data items based on current conditions, allowing the network load distribution to dynamically change rather than remaining static.
2Loss of information
If vehicle data is collected from all vehicles for all data items, then data coverage is improved, but storage capacity requirements increase
Solution Approach 1:
The patent segments both the vehicle population and data item types, creating a matrix of data collection assignments. By dividing the data collection task into discrete segments (specific data items from specific vehicles), the system reduces redundant data storage while ensuring comprehensive data coverage through strategic selection of diverse data sources.
Solution Approach 2:
The patent changes the parameters of data collection by introducing group-based selection criteria and data item-specific targeting. This transforms the collection strategy from universal (all vehicles, all data) to selective (grouped vehicles, specific data items), reducing storage requirements while maintaining information completeness through parameter-driven selection.
3Ease of operation
If data collection is performed without considering driving environment, then collection simplicity is improved, but data relevance and collection efficiency deteriorate
Solution Approach 1:
The patent enables vehicles to self-determine their data collection roles based on their driving environment characteristics. Each vehicle assesses its own group membership and data item assignments autonomously, eliminating the need for complex centralized coordination while improving collection efficiency through environment-aware selection.
Solution Approach 2:
The patent introduces driving environment parameters as key factors in data collection decision-making. By changing the collection strategy from environment-agnostic to environment-dependent, the system improves data relevance and collection efficiency while maintaining operational simplicity through automated parameter-based assignment.
4Loss of information
If in-vehicle network continuously transmits vehicle data through wireless network, then data availability for external systems is improved, but in-vehicle network load increases affecting control and safety
Solution Approach 1:
The patent applies partial action by selecting only the necessary subset of data items to be collected and transmitted from each vehicle, rather than continuously transmitting all available data. This reduces in-vehicle network load and minimizes interference with control and safety systems while maintaining sufficient data availability for external applications.
Solution Approach 2:
The patent segments the data transmission process by dividing data items into groups assigned to different vehicles based on driving environments. This segmentation reduces the volume of data each vehicle must handle and transmit, lowering in-vehicle network load while ensuring data availability through distributed collection across multiple vehicles.
Data Source
AI summary
A method and apparatus for collecting vehicle data is provided. The method for collecting vehicle data in a vehicle data collection server communicating with a vehicle through a wireless network includes receiving vehicle data corresponding to first to Nth data items from a first vehicle. When alternative data collection vehicles are needed, the method searches for the alternative data collection vehicles in a group of vehicles, for each of the first to Nth data items, receives vehicle data corresponding to at least one of the first to Nth data items through the searched alternative data collection vehicles, and stores the vehicle data received from the first vehicle and the vehicle data received from the alternative data collection vehicles.