Driver Behavior Analysis via Cross-Vehicle Mobile Device Tracking

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Solution Overview

Problem

Existing vehicle operation analysis methods are limited in tracking a driver's behavior across different vehicles, making it difficult to assess driving behavior and calculate insurance premiums accurately, especially in scenarios like car-sharing or professional driving where multiple vehicles are used.

Innovation Solution

A method that involves retrieving data from various sources using a mobile device or a vehicle-installed computing unit, adding a driver-specific identifier, and performing analysis on the device or remotely to generate a comprehensive driver profile, which includes extracting patterns and calculating a driver-specific safety/risk factor, regardless of the vehicle used.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a mobile device is related to a specific vehicle, then the vehicle operation analysis can be performed for that vehicle, but the driver cannot be analyzed across different vehicles

Engineering Contradiction:
Improvedriver behavior analysis accuracyVSAvoidcross-vehicle driver tracking
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The mobile device is designed to serve multiple vehicles and drivers universally. By adding a driver-specific identifier to the data retrieved from different vehicles, the system enables the same mobile device to track and analyze multiple drivers across different vehicles, transforming a vehicle-specific analysis tool into a universal driver behavior analysis platform

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

2Adaptability or versatility

If driver-specific identifier is added to the data, then the driver can be identified across different vehicles, but the data complexity increases

Engineering Contradiction:
Improvecross-vehicle driver trackingVSAvoiddata processing complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The driver-specific identifier is nested within the existing vehicle operation data structure. Rather than creating a separate complex identification system, the driver ID is embedded as an additional field within the data retrieved from the mobile device, allowing driver identification while maintaining a relatively simple data structure that builds upon the existing vehicle data framework

Inventive Principle:
Principle #7Nested doll (Nesting)

Data Source

PatentUS11593687B2Vehicle operation analysis of a driver
Publication Date: 2023.02.28 HITACHI LTD
  • US11593687B2 patent drawing
  • US11593687B2 patent drawing
  • US11593687B2 patent drawing

AI summary

It is described at least a method for performing vehicle operation analysis of a driver, comprising retrieving data related to the operation of the vehicle via a mobile device, wherein the mobile device is placed inside the vehicle and the retrieved data is data that is at least provided by data providing units included in the mobile device; adding a driver-specific identifier to the retrieved data which identifies the driver of the vehicle irrespective of the vehicle that is used; performing analysis of the retrieved data in the mobile device, and/or sending the retrieved data to a remote computer and performing analysis of said data in the remote computer, wherein the analysis includes extracting driver-specific vehicle operation schemes and/or calculating a driver-specific safety factor.