Tiered Threshold Driver Coaching System
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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 cost-saving driving habits.
Innovation Solution
A method that uses a processor to analyze sensor and data inputs, providing visual and/or audible alerts to drivers when predetermined threshold values are reached, with a tiered threshold approach to warn drivers before recording and reporting their behavior, allowing them to correct issues before notification to supervisors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data collection from vehicle operations is implemented, then the ability to analyze driver behavior is improved, but the complexity of the system increases
Solution Approach 1:
The patent introduces a telematics device as an intermediary component that collects vehicle operation data and a display device as a mediator that presents processed information to the driver. These intermediary elements bridge the gap between raw data collection and actionable feedback, enabling driver behavior analysis without requiring direct complex integration between sensors and driver interfaces.
2Productivity
If real-time feedback to drivers is provided, then driver behavior improvement is enhanced, but the loss of time for processing and transmitting data increases
Solution Approach 1:
The system performs preliminary actions by pre-defining threshold values for various driving parameters (speed, acceleration, braking, idle time) and pre-processing data collection routines. When a threshold is breached, the feedback is immediately triggered without requiring complex real-time analysis, thus reducing processing time while maintaining effective driver behavior intervention.
3Ease of operation
If tiered threshold approach with multiple alert levels is implemented, then driver coaching effectiveness is improved, but the device complexity increases
Solution Approach 1:
The patent segments the feedback system into distinct alert levels (first threshold and second threshold) with different consequences. The first threshold provides a warning to the driver without supervisor notification, while the second threshold triggers supervisor alert. This segmentation creates a graduated coaching approach that is more effective than binary feedback while managing complexity through clear hierarchical structure.
4Loss of substance
If supervisor notification is triggered only after threshold breach, then unnecessary reporting is reduced, but the loss of information about early warning signs increases
Solution Approach 1:
The patent applies local quality by providing different types of feedback for different threshold levels. The first threshold generates a local warning feedback to the driver only, while the second threshold triggers supervisor notification. This localized feedback approach ensures that supervisors are not overwhelmed with unnecessary reports while still maintaining awareness of significant behavior patterns through the tiered system.
Data Source
AI summary
A method of providing visual feedback to a driver based on data collected during vehicle operation. A processor at the vehicle analyzes vehicle data and determines when predetermined threshold values have been reached for particular parameters. Whenever such a threshold is reached, an audible indication is provided to the driver, indicating that the baseline has been exceeded. Certain parameters have at least two threshold values. When a first threshold value is reached, an alert is presented to the driver, but no data is recorded or reported. When a second threshold value is reached, another alert is presented to the driver, and data is recorded for reporting to a driver manager or supervisor. This approach provides a driver warning, that if they correct the triggering behavior, their supervisor is never notified of that behavior. However, if the behavior escalates, and the second threshold is breached, the behavior is recorded.