Driving Rating System for Vehicle Selection

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Solution Overview

Problem

Current vehicle systems lack the ability to provide informed decisions to drivers regarding the selection of leading or following vehicles based on driving performance, which can impact safety and efficiency.

Innovation Solution

A method and system that utilize sensors and processors to detect nearby vehicles, receive and analyze driving rating information, and present it to the vehicle occupant, allowing for informed decisions on vehicle selection through a user-friendly interface.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If the vehicle computing system autonomously navigates and maneuvers through the environment using sensor data, then the vehicle can operate with minimal or no human input, but the system lacks information about the driving behavior and performance of surrounding vehicles, limiting its ability to make informed decisions about which vehicles to follow or avoid

Engineering Contradiction:
Improveautonomous navigation capabilityVSAvoiddriving performance information of surrounding vehicles
Core Design Contradiction:
Extent of automationVSLoss of information

Solution Approach 1:

The patent introduces driving rating information as an intermediary data element that mediates between the autonomous vehicle's navigation system and the surrounding traffic environment. This rating information, obtained from external sources, serves as a mediator that provides insights into the driving behavior of other vehicles, enabling the autonomous system to make informed decisions without direct human input while compensating for the information gap about surrounding vehicles' performance characteristics

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If the vehicle system selects leading or following vehicles based solely on sensor detection of presence, then the system can identify surrounding vehicles, but it cannot differentiate between safe and unsafe driving behaviors of those vehicles

Engineering Contradiction:
Improvevehicle detection capabilityVSAvoiddriving behavior quality information
Core Design Contradiction:
Measurement precisionVSLoss of information

Solution Approach 1:

The patent implements a feedback mechanism where driving rating information about surrounding vehicles is fed back to the autonomous navigation system. This feedback loop allows the system to not only detect the presence of other vehicles through sensors but also to receive information about their driving performance, enabling differentiation between safe and unsafe drivers and informing vehicle selection decisions

Inventive Principle:
Principle #23Feedback

3Productivity

If the autonomous system makes vehicle selection decisions without driving rating information, then the system can operate autonomously, but the safety and efficiency of navigation may be compromised due to lack of informed decision-making

Engineering Contradiction:
Improvenavigation efficiencyVSAvoidnavigation safety
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent applies preliminary action by obtaining driving rating information about surrounding vehicles before the autonomous vehicle makes navigation decisions. This advance information gathering allows the system to pre-assess the safety and reliability of potential leading or following vehicles, enabling more informed and safer autonomous navigation decisions while maintaining operational efficiency

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS10239527B2Driving ratings for leading or following vehicle selection
Publication Date: 2019.03.26 TOYOTA JIDOSHA KK
  • US10239527B2 patent drawing
  • US10239527B2 patent drawing
  • US10239527B2 patent drawing

AI summary

Driving rating information for other vehicles in an external environment of a vehicle can be provided. The external environment of the vehicle can be sensed to detect the other vehicles. Driving rating information for the other vehicles can be received, such as directly from the other vehicles or from a remote driving ratings source. The driving rating information for the other vehicles can be presented within the vehicle. Based on such driving rating information, a vehicle occupant can decide whether or not to lead or follow a particular vehicle in the external environment. If a selection of one of the identified one or more vehicles is received from a vehicle occupant, the vehicle can be caused to implement one or more driving maneuvers relative to the selected vehicle.