Driver Performance Ranking via GPS Data Segmentation

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Solution Overview

Problem

Fleet operators face challenges in deriving cost savings from the vast amount of data collected from commercial vehicles, as simply collecting data does not automatically translate into cost savings, and there is a need for tools to encourage better driving habits among drivers.

Innovation Solution

A method is introduced to provide a numerical ranking of driver performance based on various metrics, which are then shared on a hosted website, allowing drivers to compare their performance with peers, and linking pay with performance, with specific campaigns focusing on improving metrics such as brake temperature or fuel efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If GPS data is collected continuously to monitor driver performance metrics, then measurement precision of driver behavior is improved, but use of energy by the vehicle increases

Engineering Contradiction:
Improvedriver performance measurementVSAvoidvehicle energy consumption
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system collects GPS data at periodic intervals (e.g., every few seconds or minutes) rather than continuously, which maintains adequate measurement precision for driver performance evaluation while significantly reducing energy consumption and computational burden

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

The patent extracts and analyzes only specific relevant metrics from GPS data (such as acceleration patterns, braking behavior, route deviation) rather than processing all raw GPS coordinates, reducing computational energy while maintaining measurement precision for key performance indicators

Inventive Principle:
Principle #2Taking out (Extraction)

2Measurement precision

If multiple performance metrics are collected and analyzed, then driver performance evaluation accuracy is improved, but device complexity increases

Engineering Contradiction:
Improveperformance evaluation accuracyVSAvoiddata collection system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments driver performance evaluation into distinct metrics (acceleration, braking, routing, speed compliance) that can be measured and analyzed independently, then combined to form an overall performance assessment, reducing system complexity while maintaining evaluation accuracy

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The GPS system performs multiple functions: location tracking, performance metric collection, route monitoring, and data transmission, consolidating what would otherwise require separate systems into a single multi-functional device, reducing overall system complexity

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

3Productivity

If real-time feedback is provided to drivers through hosted website, then driver behavior improvement is accelerated, but loss of time for data transmission occurs

Engineering Contradiction:
Improvedriver performance improvement rateVSAvoiddata transmission time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

Performance metrics are calculated and prepared in advance based on collected GPS data, so that when feedback needs to be transmitted to the hosted website, the processing is already complete or near-complete, minimizing transmission time while maintaining real-time feedback capability

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system transmits summarized performance metrics and rankings to the hosted website rather than continuous raw data streams, creating a simplified copy of the essential information that can be transmitted quickly while still providing meaningful real-time feedback to drivers

Inventive Principle:
Principle #26Copying

Data Source

PatentUS10102096B2Method and apparatus for GPS based Z-axis difference parameter computation
Publication Date: 2018.10.16 ZONAR SYSTEMS INC
  • US10102096B2 patent drawing
  • US10102096B2 patent drawing
  • US10102096B2 patent drawing

AI summary

Data is collected during the operation of a vehicle and used to produce a ranking of a driver's efficiency performance, and that ranking is shared on a hosted website, such that the drivers can compare their performance metrics to their peers. Fleet operators can use these performance metrics as incentives, by linking driver pay with efficiency performance. Individual fleet operators can host their own website, where driver rankings in that fleet can be compared, or the website can be hosted by a third party, and multiple fleet operators participate. The third party can offset their costs for operating the website by charging participating fleet operators a fee, and/or by advertising revenue. In some embodiments, all driver efficiency performance data is displayed in an anonymous format, so that individual drivers cannot be identified unless the driver shares their user ID.