Fleet Vehicle Communication Prioritization for Low-Latency Data Sharing
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Solution Overview
Problem
Self-driving vehicles face challenges in managing data communication due to infrastructure limitations, communication overhead, and latency, making it difficult for them to share updated information effectively with each other and a central authority, especially in dynamic environments.
Innovation Solution
A communication system that includes a fleet management system, self-driving vehicles, and a communication network, where the fleet management system determines communication conditions based on vehicle characteristics such as position, velocity, and functionality to selectively transmit and receive data portions, optimizing data transfer and minimizing resource strain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If self-driving vehicles constantly transfer all their data to other vehicles and central authority, then information freshness and completeness is improved, but communication overhead and network resource consumption worsen
Solution Approach 1:
The patent segments communication data into priority levels (safety-critical, operational, non-critical) and transmits only necessary portions based on current driving conditions and vehicle characteristics. This selective data transmission reduces communication overhead while maintaining information freshness for critical parameters.
Solution Approach 2:
The patent implements quality-of-service (QoS) parameters that assign different transmission qualities to different data types based on their importance. Safety-critical data receives high-priority transmission with guaranteed bandwidth, while non-critical data uses lower-priority channels, optimizing resource allocation.
2Loss of information
If data transmission occurs without restrictions, then data completeness is improved, but communication latency and infrastructure strain worsen
Solution Approach 1:
The patent pre-establishes communication protocols and data prioritization rules before transmission needs occur. Vehicles continuously assess their own characteristics (speed, acceleration, sensor status) and pre-determine which data portions require immediate transmission, reducing decision latency during critical events.
Solution Approach 2:
The patent implements periodic transmission intervals for non-critical data while maintaining event-triggered transmission for safety-critical information. This hybrid approach balances data completeness with latency reduction by transmitting operational data periodically rather than continuously.
3Loss of information
If all vehicles transmit data at full capacity, then information availability for fleet management is improved, but network bandwidth consumption and energy usage worsen
Solution Approach 1:
The patent applies partial action by transmitting only the necessary portion of vehicle data based on current operational context. Vehicles adjust their transmission rate and data granularity according to fleet management needs, road conditions, and their own operational state, reducing energy consumption while maintaining sufficient information availability.
Solution Approach 2:
The patent dynamically changes transmission parameters (data rate, resolution, frequency) based on vehicle characteristics such as speed, sensor performance, and operational mode. This adaptive approach optimizes the balance between information quality and energy consumption by transmitting higher-resolution data only when necessary.
Data Source
AI summary
Systems and methods for providing inter-vehicle communication are disclosed. The method includes receiving, at a fleet management system, operating data from one or more self-driving vehicles via a communication network, and operating the fleet management system to determine a characteristic of a set of vehicles of one or more self-driving vehicles satisfies at least one communication condition. In response to determining the set of vehicles satisfies the at least one communication condition, the fleet management system can operate to select a stored data portion from a manager storage unit based at least on the characteristic of the set of vehicles; and transmit the data portion to the set of vehicles via the communication network. A method of providing inter-vehicle communication between one or more self-driving vehicles is also disclosed.


