National Advanced Driving Simulator Measures Driver Interactions with Automated Driving System

One of the largest simulators in the world, the National Advanced Driving Simulator (NADS) at the University of Iowa, was recently used to conduct a study of automated driving as part of a SAFER-SIM University Transportation Center research project. The Center is dedicated to promoting interdisciplinary research using simulation techniques to address safety issues prioritized by the U.S. Department of Transportation

Safer-Sim Projects Improving Pedestrian and Bicycle Safety

The Safer-Sim University Transportation Center (UTC) recently awarded its initial research projects, including three that focus on pedestrian and bicycle safety. Safer-Sim uses simulators to improve roadway safety for all users. The projects highlighted here embody the interdisciplinary and collaborative spirit of Safer-Sim

Change in Mental Models of ADAS in Relation to Quantity and Quality of Exposure

69A3551747131Given the importance of mental models towards safe interaction with Advanced Driver Assistance Systems (ADAS) and the various human factors challenges regarding ADAS such as miscalibrated trust and the effect on workload, it is important to understand how different types of driving experiences and exposures affect drivers\u2019 mental models about ADAS. The objective of this study was to examine how the frequency and quality of exposure (exposure defined as driving through events or situations that have some bearing on the functions of the Adaptive Cruise Control (ACC)) affect drivers\u2019 mental models about ACC, their trust, workload, and their use of the systems as measured by their behaviors around disengaging ACC

Change in Mental Models of ADAS in Relation to Quantity and Quality of Exposure [Fact Sheet]

Advanced Driver Assistance Systems (ADAS) support drivers with some driving tasks. However, drivers may lack appropriate knowledge about ADAS (referred to as their mental model), which can translate to drivers misusing or mistrusting the technologies, especially in situations beyond the capability of the system (i.e., edge cases). Past research suggests that mental models may be improved through exposure to ADAS-related driving situations, especially those related to the system capabilities as well as limitations