Principal Investigator
- Nichole Morris, Director, Human Factors Safety Lab, Mechanical Engineering
Summary
The difficult task of operating a snowplow under dangerous weather conditions can be supported by automated monitoring systems that notify drivers. Such systems typically rely on alarm sounds to notify and direct driver attention to snowplow functions or hazardous conditions that require operator intervention. However, each alarm system may not have been developed with a human-centered focus nor considered what happens when multiple alarms are active at the same time. Poor design of the alarm sounds within auditory alarm systems can result in annoyance, distrust, and disuse, which may lead to high-risk and costly accidents. As new systems are added to Minnesota Department of Transportation (MnDOT) snowplows, it is critical to review the driver experience of existing systems, determine how well they meet human factors standards, and establish guidelines for new systems. This study reviews and documents best practices for alarm design, examines current alarm systems in MnDOT plows, and provides guidance for existing and future ADAS auditory alerts to support snowplow operators.
Project Details
- Project number: 2025034
- Start date: 12/2024
- Project status: Active
- Research area: Safety and Mobility
- Topics:
Safety, Snow and ice control