Pilot Results on Forward Collision Warning System Effectiveness in Older Drivers
Author(s) -
Benjamin D. Lester,
Lauren Sager,
Jeffrey D. Dawson,
Sarah Hacker,
Nazan Aksan,
Matthew Rizzo,
Satoshi Kitazaki
Publication year - 2015
Publication title -
proceedings of the ... international driving symposium on human factors in driver assessment, training, and vehicle design
Language(s) - English
Resource type - Conference proceedings
DOI - 10.17077/drivingassessment.1593
Subject(s) - collision , warning system , brake , advanced driver assistance systems , perception , cognition , affect (linguistics) , computer science , simulation , psychology , engineering , computer security , artificial intelligence , automotive engineering , communication , telecommunications , neuroscience
Advanced Driver Assistance Systems (ADAS) have largely been developed with a "one-size-fits-all" approach. This approach neglects the large inter-individual variability in perceptual and cognitive abilities that affect aging ADAS users. We investigated the effectiveness of a forward collision warning (FCW) with fixed response parameters in young and older drivers with differing levels of cognitive functioning. Drivers responded to a pedestrian stepping into the driver's path on a simulated urban road. Behavioral metrics included response times (RT) for pedal controls and two indices of risk penetration (e.g., maximum deceleration and minimum time-to-collision (TTC)). Older drivers showed significantly slower responses at several time points compared to younger drivers. The FCW facilitated response times (RTs) for older and younger drivers. However, older drivers still showed smaller safety gains compared to younger drivers at accelerator pedal release and initial brake application when the FCW was active. No significant differences in risk metrics were observed within the condition studied. The results demonstrate older drivers likely differ from younger drivers using a FCW with a fixed parameter set. Finally, we briefly discuss how future research should examine predictive relationships between domains of cognitive functioning and ADAS responses to develop parameter sets to fit the individual.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom