V2V Reward Allocation for Drafting and Autonomous Droning
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Solution Overview
Problem
Existing vehicle-to-vehicle (V2V) communication systems do not effectively incentivize beneficial social interactions between vehicles and drivers, such as drafting and autonomous droning, which can lead to fuel efficiency gains and safer driving practices.
Innovation Solution
A system that analyzes vehicle driving data to determine if a drafting or autonomous droning relationship exists between vehicles, and allocates rewards based on the characteristics of these relationships, such as fuel savings and driving efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If V2V communication systems are implemented to enable drafting and autonomous droning, then fuel efficiency is improved, but the system complexity increases
Solution Approach 1:
The patent segments the V2V communication system into distinct functional modules: drafting detection module, autonomous droning detection module, and reward allocation module. Each module independently processes specific aspects of vehicle interaction, reducing overall system complexity while enabling sophisticated fuel efficiency optimizations through coordinated operation of these segmented components
Solution Approach 2:
The patent creates a multi-functional V2V communication system that simultaneously performs drafting detection, autonomous droning detection, and reward allocation. This universal system handles multiple vehicle interaction scenarios through a single integrated platform, improving fuel efficiency across different driving conditions without proportionally increasing system complexity
2Adaptability or versatility
If reward allocation systems are implemented to incentivize drafting and autonomous droning, then beneficial social interactions increase, but the device complexity increases
Solution Approach 1:
The patent implements a feedback-based reward allocation system where vehicles receive incentives based on their participation in drafting and autonomous droning. The system continuously monitors vehicle interactions, calculates appropriate rewards based on predefined criteria, and allocates them accordingly. This feedback loop encourages beneficial social interactions while automating the complexity of reward management
Solution Approach 2:
The V2V communication system automatically detects drafting and autonomous droning relationships, calculates reward amounts, and allocates incentives without requiring manual intervention. The system serves itself by autonomously managing the entire reward allocation process, increasing adaptability to various driving scenarios while minimizing the operational complexity for users
Data Source
AI summary
System and methods are disclosed for determining, through vehicle-to-vehicle communication, whether vehicles are involved in autonomous droning. Vehicle driving data and other information may be used to calculate an autonomous droning reward amount. In addition, vehicle involved in a drafting relationship in addition to, or apart from, an autonomous droning relationship may be financially rewarded. Moreover, aspects of the disclosure related to determining ruminative rewards and/or aspects of vehicle insurance procurement/underwriting.