Autonomous Vehicle Gateway State Control for Priority Network Traffic
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current autonomous vehicle technologies lack efficient solutions to improve Quality of Service (QoS) for network traffic, reduce network congestion, and prioritize time-sensitive data communications, leading to potential delays in decision-making and navigation.
Innovation Solution
The implementation of an Autonomous Vehicle Communication Gateway (AVCG) manager that uses finite state machine (FSM) states and trigger events to manage network traffic, prioritizing high-priority data flows and ensuring continuous communication even when the vehicle's engine is off, by transitioning through states such as initiation, active, timed-active, and shutdown.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network traffic is managed without priority-based QoS allocation, then network resource allocation is simple, but network congestion increases and latency rises for time-sensitive data
Solution Approach 1:
The patent segments network traffic into different priority levels (high, medium, low) and allocates QoS resources accordingly. The gateway manager divides traffic flows based on time-sensitivity and criticality, applying different QoS policies to each segment, which resolves the contradiction by providing reliable QoS for critical traffic while maintaining manageable complexity through structured segmentation.
Solution Approach 2:
The system dynamically changes QoS parameters (bandwidth allocation, latency thresholds, priority levels) based on traffic characteristics and vehicle operational states. By adjusting these parameters in real-time according to FSM states and traffic priority, the system achieves reliable QoS for time-sensitive data while adapting complexity to actual network conditions.
2Speed
If all network communications are treated equally, then network management is straightforward, but time-sensitive data experiences delays and network congestion occurs
Solution Approach 1:
The patent implements dynamic QoS allocation where bandwidth and priority are adjusted in real-time based on traffic type and vehicle state. High-priority time-sensitive traffic receives increased bandwidth and lower latency treatment dynamically, while less critical traffic receives reduced resources. This dynamic approach increases transmission speed for critical data while managing overall communication complexity through adaptive control.
Solution Approach 2:
The system changes network parameters (bandwidth allocation, priority queues, transmission timing) based on traffic characteristics and FSM transitions. Time-sensitive data triggers parameter changes that prioritize its transmission, achieving high speed for critical communications while maintaining manageable complexity through rule-based parameter adjustment.
3Use of energy by moving object
If the vehicle communication system shuts down completely when the engine is off, then energy consumption is minimized, but communication continuity is lost in critical situations
Solution Approach 1:
The gateway manager dynamically adjusts its operational state based on vehicle engine status and detected anomaly types. For normal engine-off situations, the system shuts down completely to minimize energy consumption. However, when anomalies are detected, the system dynamically transitions to a timed-active state that maintains communication capabilities for a specified duration, resolving the contradiction by adapting energy usage and communication continuity to actual operational needs.
Solution Approach 2:
The system performs preliminary actions by detecting engine-off conditions and anomaly states in advance, then proactively maintaining communication in timed-active mode when needed. This preliminary detection and preparation allows the system to ensure communication continuity for post-accident reporting while minimizing energy consumption during normal engine-off periods, achieving both energy efficiency and reliability.
4Loss of time
If network resources are allocated uniformly to all data flows, then resource allocation is simple, but high-priority data experiences latency and network congestion
Solution Approach 1:
The patent applies local quality by allocating different QoS characteristics to different data flows based on their priority and time-sensitivity. High-priority time-critical traffic receives localized quality improvements including lower latency queues and higher bandwidth allocation, while non-critical traffic receives standard resource allocation. This localized differentiation reduces latency for critical data while managing resource allocation complexity through targeted quality adjustments.
Data Source
AI summary
A system determines that an engine of an autonomous vehicle is ignited. In response, the system transitions the autonomous vehicle into an initiation state, during which Autonomous Vehicle Communication Gateway (AVCG) configuration data is received by the autonomous vehicle. When a particular time period passes after the ignition of the engine, the system transitions the autonomous vehicle into an active state, during which instructions provided by the AVCG configuration data are executed. If the engine of the autonomous vehicle is turned off, the system transitions the autonomous vehicle into a timed-active state, during which the system sends a rescue message to an oversight server. After a timeout parameter associated with the timed-active state is reached, the system transitions the autonomous vehicle into a shutdown state, during which results of the executed instructions are stored in a local memory.