Autonomous Vehicle Task Bidding for Collaborative Fleet Execution

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Solution Overview

Problem

Current autonomous vehicle management systems lack an efficient mechanism for task assignment and collaboration among autonomous vehicles, leading to suboptimal task completion due to individual vehicle limitations and lack of resource sharing.

Innovation Solution

A fleet management system that enables autonomous vehicles to bid on tasks and collaborate with each other to fulfill task requirements by sharing capabilities and resources, allowing for dynamic task assignment and value exchange.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If autonomous vehicles operate independently without collaboration mechanisms, then individual vehicle autonomy is maintained, but task completion efficiency deteriorates due to individual vehicle limitations

Engineering Contradiction:
Improvetask completion efficiencyVSAvoidcollaboration mechanism complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent introduces a fleet management system as an intermediary that coordinates task assignments and vehicle collaborations. This mediator handles the complexity of matching vehicles with tasks and coordinating multi-vehicle operations, thereby improving task completion efficiency without requiring direct complex interactions between individual vehicles.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

Autonomous vehicles independently evaluate their own capabilities against task requirements and self-select for tasks they can perform or identify when collaboration is needed. This self-service approach maintains individual autonomy while enabling efficient collaboration through the fleet management system's coordination mechanisms.

Inventive Principle:
Principle #25Self-service

2Reliability

If a single autonomous vehicle attempts to fulfill all task requirements independently, then vehicle autonomy is maximized, but task completion reliability deteriorates when individual capabilities are insufficient

Engineering Contradiction:
Improvetask completion reliabilityVSAvoidindividual vehicle capability flexibility
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent enables multiple autonomous vehicles to merge their capabilities by forming collaborative teams for task execution. When a task requires capabilities beyond what a single vehicle possesses, the fleet management system coordinates multiple vehicles to work together, combining their strengths to achieve reliable task completion.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The fleet management system creates a universal platform that can dynamically allocate and coordinate various vehicle types with different capabilities. This multi-functional system allows any vehicle to contribute to any task based on its specific capabilities, thereby improving overall task completion reliability across diverse task requirements.

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

3Productivity

If autonomous vehicles share capabilities and resources through collaboration, then resource utilization is optimized, but system complexity increases due to coordination requirements

Engineering Contradiction:
Improveresource utilization efficiencyVSAvoidcoordination system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The fleet management system serves as an intermediary that manages resource sharing and coordination between vehicles. It handles the complexity of matching vehicle capabilities with task requirements, scheduling collaborations, and coordinating resource allocation, thereby optimizing resource utilization without requiring direct complex coordination between individual vehicles.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system implements feedback mechanisms where vehicles report their capability status, availability, and task completion status to the fleet management system. This feedback enables the system to dynamically optimize resource allocation and collaboration assignments, improving resource utilization efficiency while managing coordination complexity through information-based control.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20240028028A1Competitive and collaborative autonomous vehicle task performance
Publication Date: 2024.01.25 AT&T INTELLECTUAL PROPERTY I L P
  • US20240028028A1 patent drawing
  • US20240028028A1 patent drawing
  • US20240028028A1 patent drawing

AI summary

A processing system including at least one processor may obtain a request for a performance of a task, where the task is to be performed by at least one autonomous vehicle, broadcast an offer for performing the task to a plurality of autonomous vehicles, obtain from a first autonomous vehicle of the plurality of autonomous vehicles, a bid to perform the task by the first autonomous vehicle and at least a second autonomous vehicle, and assign the task to the first autonomous vehicle and the at least the second autonomous vehicle in response to the bid.