Driver Performance Ranking via Sensor Metric Aggregation

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Solution Overview

Problem

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

Innovation Solution

A method to automatically collect and combine various metrics related to driver performance, such as idle time, acceleration, deceleration, route deviation, and speed limits, to produce a numerical ranking, which can be normalized and used to provide feedback and incentives to drivers, improving their performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If multiple metrics are collected and processed to create a comprehensive performance ranking, then the objectivity and comprehensiveness of driver assessment is improved, but the system complexity and data processing requirements increase

Engineering Contradiction:

Improvedriver performance assessment accuracyVSAvoiddata collection and processing system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The driver performance assessment system is segmented into multiple independent metrics (idle time, acceleration events, deceleration events, route deviation, speed limit violations) that can be collected and processed separately. Each metric is evaluated independently and then combined to form the overall performance ranking, making the complex assessment manageable and systematic.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system uses a universal data collection framework that can accommodate multiple different metrics and evaluation criteria. The same basic infrastructure (sensors, data processors, ranking algorithm) handles diverse types of driving behavior data, making the system versatile and adaptable to different assessment requirements without requiring separate systems for each metric.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Productivity

If real-time feedback and performance rankings are provided to drivers, then driver motivation and performance improvement is enhanced, but the cost of sensors, communications and processing systems increases

Engineering Contradiction:

Improvedriver performance improvementVSAvoidcost of sensors and communications systems

Core Design Contradiction:

ProductivityVSQuantity of substance

Solution Approach 1:

The system implements feedback by providing drivers with their performance rankings and comparisons to peers. This feedback loop motivates drivers to improve their driving habits, leading to measurable performance improvements and cost savings that justify the investment in the monitoring system.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system enables drivers to self-monitor and self-improve their performance by providing them with their own performance data and rankings. Drivers can independently assess their driving habits and make adjustments without requiring constant intervention or additional expensive monitoring infrastructure.

Inventive Principle:

Principle #25Self-service

3Reliability

If comprehensive driver behavior data is collected and analyzed, then objective performance criteria and incentives can be developed, but the difficulty of detecting and measuring driver performance increases

Engineering Contradiction:

Improveobjectivity of performance criteriaVSAvoiddriver performance measurement complexity

Core Design Contradiction:

ReliabilityVSDifficulty of detecting and measuring

Solution Approach 1:

The system replaces subjective human judgment with automated electronic sensing and processing. Sensors objectively measure driving parameters (idle time, acceleration, deceleration, route deviation, speed) and algorithms automatically calculate performance rankings, eliminating bias and subjectivity from the assessment process.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system transforms complex driver behavior into quantifiable parameters that can be objectively measured and compared. By converting qualitative driving performance into quantitative metrics (time, distance, frequency of events), the system enables reliable objective assessment and straightforward incentive development.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS7769499B2Generating a numerical ranking of driver performance based on a plurality of metrics

Publication Date: 2010.08.03 ZONAR SYSTEMS INC

AI summary

Sensors on a vehicle are used to sense different data corresponding to a plurality of metrics, which are related to a performance of driver while operating the vehicle. Values are determined for the metrics that are thus collected. These values are added together and the resulting total is normalized to produce a driver performance value or performance ranking. The metrics that are collected can include, for example, idle time data, acceleration and deceleration data, times that a speed limit is exceeded, and other metrics of interest to an owner of the vehicle for evaluating driver performance. A weighting factor can be applied to any metric considered of greater importance. The driver performance value can be displayed in real-time to the driver to provide an immediate feedback of performance, or the collected metrics can be transmitted to a remote location for determination of driver performance rankings at a later time.