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Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
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A toolbox for automated driving on the STISIM driving simulator
Alexander Eriksson1,2, Joost de Winter3, Neville A Stanton1
1Transportation Research Group, Faculty of Engineering and Environment, University of Southampton, Boldrewood Campus, Southampton SO16 7QF, UK.
Methodsx
|September 28, 2018
Summary
A new toolbox for STISIM driving simulators enhances automated driving research. This open-source tool enables flexible control and advanced data logging for improved driver behavior assessment.
Area of Science:
- Engineering
- Human-Computer Interaction
- Transportation Science
Background:
- Driving simulators are crucial for driver behavior research, offering a safe environment for studies.
- The STISIM platform is widely used but requires enhancements for advanced automated driving research.
Purpose of the Study:
- To develop and validate an open-source toolbox for the STISIM driving simulator.
- To facilitate flexible research into automated driving systems, including longitudinal and lateral control.
- To enable dynamic parameter adjustment and logging of key driving variables.
Main Methods:
- Implementation of a software toolbox for the STISIM driving simulator platform.
- Integration of independent longitudinal control and combined longitudinal/lateral control functionalities.
- Development of dynamic parameter adjustment for speed, time-headway, and automation modes.
- Logging of additional variables such as time-headway and time to collision.
Main Results:
- The developed toolbox successfully enables automated driving research on STISIM.
- Validation trials confirmed accurate tracking of speed, time-headway, and lane.
- The system demonstrated reliable transitions between manual and automated driving control.
- Enhanced data logging capabilities were achieved for critical driving metrics.
Conclusions:
- The open-source STISIM toolbox significantly advances automated driving research capabilities.
- The tool provides researchers with greater flexibility and data richness for driver behavior studies.
- This development supports safer and more efficient testing of automated driving technologies.
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