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Evaluation of a Commercial Tractor Safety Monitoring System Using a Reverse Engineering Procedure.

Camilla Casazza¹, Roberta Martelli¹, Valda Rondelli¹

¹University of Bologna.

Journal of Agricultural Safety and Health

|November 16, 2017

Summary

Tractor stability assistance devices can help prevent agricultural accidents. This study validated a device, finding its risk index effectively separates field work from road travel, suggesting tailored calculations for each phase.

Keywords:

Overturn recognition Rollover Stability index Tractor safety

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Area of Science:

Agricultural Safety
Tractor Dynamics
Machine Stability

Background:

High rates of fatal work-related deaths in agriculture, particularly from tractor overturns in Italy.
Despite mandatory Roll-Over Protective Structures (ROPS), tractor accidents remain a significant concern.
Driver assistance systems are developed to predict critical stability conditions and prevent accidents.

Purpose of the Study:

To field-validate a commercial driver assistance device's tractor stability index.
To assess the device's ability to identify critical stability conditions during agricultural operations.
To determine if the stability index requires different calculation approaches for field work versus road travel.

Main Methods:

Utilized a commercial driver assistance device to monitor five tractors on an experimental farm.
Determined the center of gravity for each tractor and its mounted implement.
Analyzed the stability index, focusing on high-risk events during field work and road travel scenarios.

Main Results:

The stability index effectively separated events into two distinct groups: field work (high roll/pitch, low speed) and road travel (low roll/pitch, high speed, high steering angle).
The critical speed equation for turning was more applicable to road travel events than field work.
A clear distinction in stability behavior was observed between different operational phases.

Conclusions:

The studied tractor stability index shows promise in differentiating between field work and road travel conditions.
A diversified calculation approach for the stability index, tailored to specific work phases (field vs. road), may enhance accident prevention.
Further research into phase-specific algorithms could improve the reliability of tractor stability warning systems.