Vehicle Subscription Control Using Travel-State Topic Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Vehicles face latency issues and resource constraints due to receiving large amounts of information through V2X and MQTT systems, which interfere with time-sensitive functions.
Innovation Solution
A method and system that dynamically updates vehicle subscriptions based on travel state data, selecting relevant topics from a database and modifying subscriptions to reduce unnecessary information receipt, using a publish/subscribe messaging protocol with a remote server.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If vehicles receive large amounts of information using V2X or MQTT systems, then information completeness is improved, but latency increases and computing resources are consumed
Solution Approach 1:
The system extracts and receives only the necessary information topics based on current travel state, rather than receiving all available information. The subscription manager selectively subscribes to relevant topics (e.g., traffic information, safety information, point-of-interest information) filtered by the travel state determination module, which identifies the vehicle's current state (moving, parked, sensor malfunction, etc.). This extraction approach maintains information completeness for relevant data while eliminating unnecessary information that causes latency.
Solution Approach 2:
The system dynamically adjusts information subscriptions based on changing travel states. As the vehicle transitions between different states (e.g., from moving to parked, or from normal operation to sensor malfunction), the subscription manager updates the set of subscribed topics accordingly. This dynamic adaptation ensures the vehicle receives appropriate information for its current state without the latency of processing all possible information types continuously.
2Loss of information
If vehicles receive large amounts of information using V2X or MQTT systems, then information completeness is improved, but computing resource consumption increases
Solution Approach 1:
The system extracts only the necessary information topics based on current travel state, reducing the volume of data that requires processing. By filtering subscriptions to match actual vehicle needs (e.g., a parked vehicle subscribes to different topics than a moving vehicle), the system minimizes computing resource consumption while maintaining completeness of relevant information.
Solution Approach 2:
The system applies different information subscription qualities to different travel states. Each travel state has a customized set of relevant topics, ensuring that computing resources are allocated efficiently according to the specific needs of the current state. For example, when a sensor malfunctions, the system selectively subscribes to topics related to that sensor's alternative data sources, optimizing resource usage for the specific local condition.
3Loss of information
If vehicles subscribe to all available topics, then information completeness is improved, but device complexity increases
Solution Approach 1:
The travel state determination module serves multiple functions: it determines the vehicle's current state, identifies relevant information needs, and drives subscription decisions. This multi-functional approach consolidates what would otherwise require separate complex systems for state monitoring and information management, reducing overall device complexity while maintaining information completeness.
Solution Approach 2:
The system uses feedback from the travel state determination module to continuously adjust subscriptions. The determination of current travel state feeds into the subscription manager, which updates subscriptions based on this feedback. This closed-loop approach simplifies management by automatically adapting subscriptions to current needs rather than requiring manual configuration or complex predictive algorithms.
Data Source
AI summary
A method includes determining a travel state of a subject vehicle based on vehicle data and selecting one or more desired topics from a set of subscriptions based on the travel state. The set of subscriptions include one or more topics stored in a database, and the one or more desired topics are selected from among the one or more topics. The method further includes subscribing to the one or more desired topics provided by a remote server.