Measurement data obtained by an instrumented steering wheel for driver model development

Area of Science:

• Automotive Engineering
• Human-Machine Interaction
• Biomechanics

Background:

• Understanding driver control dynamics is crucial for vehicle safety systems.
• Quantifying driver forces on the steering wheel during critical events is essential for developing advanced driver-assistance systems (ADAS).

Purpose of the Study:

• To present a dataset of driver hand forces and moments measured by an Instrumented Steering Wheel (ISW).
• To analyze driver responses to simulated emergency maneuvers, specifically recovery from a lateral disturbance using a kick plate.

Main Methods:

• Utilized an Instrumented Steering Wheel (ISW) to measure six components of force and moment from each driver hand.
• Synchronized ISW data with an inertial measuring unit (IMU) for comprehensive vehicle dynamics analysis.
• Compensated for the mass properties of the ISW to isolate driver-induced loads.

Main Results:

• Collected detailed data on driver hand forces and grip forces during simulated emergency maneuvers.
• The dataset includes synchronized measurements from the ISW and IMU for a specific test vehicle.
• Data are provided in Matlab format, accompanied by videos illustrating the maneuvers.

Conclusions:

• The presented dataset offers valuable insights into driver behavior and control strategies during vehicle instability.
• This data can be used for validating vehicle dynamics models and improving steering control algorithms.