Vehicular Micro Cloud Resource Pooling for Queue Analysis

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Solution Overview

Problem

Vehicles frequently get stuck in queues, and existing solutions do not effectively utilize the collective computing resources of connected vehicles to improve queue management and response.

Innovation Solution

A system that determines the presence of a queue and forms a vehicular micro cloud by sharing unused computing resources among connected vehicles to enhance processing power, memory, and bandwidth, allowing for better decision-making and task allocation based on safety and resource availability.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Power

If vehicles operate independently with their own computing resources, then each vehicle maintains operational independence and simplicity, but the total computing power and resource availability remain limited

Engineering Contradiction:
Improvecomputing powerVSAvoidsystem complexity
Core Design Contradiction:
PowerVSDevice complexity

Solution Approach 1:

The patent merges computing resources from multiple independent vehicles into a unified vehicular micro cloud, allowing vehicles to share processing power, memory, and bandwidth. This combination resolves the contradiction by achieving greater total computing power while maintaining operational independence through voluntary resource sharing agreements and standardized communication protocols.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The vehicular micro cloud creates a universal resource pool that can serve multiple functions and multiple vehicles simultaneously. The shared computing resources provide multi-functionality by enabling various tasks such as queue analysis, collision avoidance, and route optimization across different member vehicles, thus improving power availability without proportionally increasing individual vehicle complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Productivity

If vehicles form a vehicular micro cloud to share resources, then computing resources and processing capability increase, but coordination overhead and communication requirements increase

Engineering Contradiction:
Improvequeue response efficiencyVSAvoidcoordination time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-establishing resource sharing agreements and communication protocols before queue situations arise. Vehicles proactively announce their available resources and join the micro cloud in advance, so when a queue is detected, the coordinated response can immediately utilize pre-synchronized resources without negotiation delays.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The vehicular micro cloud implements continuous feedback mechanisms where vehicles report their status, resource availability, and queue conditions in real-time. This feedback loop enables dynamic resource allocation and coordination optimization, improving queue response efficiency while minimizing coordination time through adaptive adjustment based on current system state.

Inventive Principle:
Principle #23Feedback

3Reliability

If all vehicles in a queue form a micro cloud, then resource pooling increases computing capability, but the complexity of managing membership and resource allocation increases

Engineering Contradiction:
Improvequeue management reliabilityVSAvoidresource management complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The vehicular micro cloud enables self-service operation where vehicles autonomously manage their own resource contributions and withdrawals. Each vehicle independently monitors its own resource status, automatically joins or leaves the micro cloud based on predefined criteria, and participates in distributed resource allocation without requiring centralized management, thus improving reliability while reducing management complexity.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system segments resource management into independent modular units, where each vehicle manages its own computing resources, memory, and bandwidth separately. This segmentation allows for granular control and independent optimization of different resource types, making the overall resource management system more reliable and easier to manage through standardized interfaces and protocols.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS11489792B2Vehicular micro clouds for on-demand vehicle queue analysis
Publication Date: 2022.11.01 TOYOTA JIDOSHA KK
  • US11489792B2 patent drawing
  • US11489792B2 patent drawing
  • US11489792B2 patent drawing

AI summary

The disclosure includes embodiments for a connected vehicle to form a vehicular micro cloud. In some embodiments, a method includes determining, by an onboard vehicle computer, that a queue is present in a roadway environment and that a vehicle that includes the onboard vehicle computer is present in the queue. The method includes causing a set of member vehicles to form a vehicular micro cloud in the roadway environment responsive to determining that the queue is present in the roadway environment so that determining that the queue is present triggers a formation of the vehicular micro cloud, where the vehicular micro cloud includes a set of vehicles which each share all of their unused vehicular computing resources with one another to generate a pool of vehicular computing resources that exceeds a total vehicular computing resources of any single member vehicle and is used to benefit the set of member vehicles.