Literature DB >> 27135061

PILOT RESULTS ON FORWARD COLLISION WARNING SYSTEM EFFECTIVENESS IN OLDER DRIVERS.

Benjamin D Lester1, Lauren N Sager2, Jeffrey Dawson2, Sarah D Hacker1, Nazan Aksan1, Matthew Rizzo3, Satoshi Kitazaki1.   

Abstract

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.

Entities:  

Year:  2015        PMID: 27135061      PMCID: PMC4850497          DOI: 10.17077/drivingassessment.1593

Source DB:  PubMed          Journal:  Proc Int Driv Symp Hum Factors Driv Assess Train Veh Des


  5 in total

1.  Collision warning timing, driver distraction, and driver response to imminent rear-end collisions in a high-fidelity driving simulator.

Authors:  John D Lee; Daniel V McGehee; Timothy L Brown; Michelle L Reyes
Journal:  Hum Factors       Date:  2002       Impact factor: 2.888

Review 2.  Cognitive, sensory and physical factors enabling driving safety in older adults.

Authors:  Kaarin J Anstey; Joanne Wood; Stephen Lord; Janine G Walker
Journal:  Clin Psychol Rev       Date:  2005-01

3.  Impaired driving from medical conditions: a 70-year-old man trying to decide if he should continue driving.

Authors:  Matthew Rizzo
Journal:  JAMA       Date:  2011-03-01       Impact factor: 56.272

Review 4.  Driving and neurodegenerative diseases.

Authors:  Ergun Y Uc; Matthew Rizzo
Journal:  Curr Neurol Neurosci Rep       Date:  2008-09       Impact factor: 5.081

5.  Neuropsychological assessment of driving safety risk in older adults with and without neurologic disease.

Authors:  Steven W Anderson; Nazan Aksan; Jeffrey D Dawson; Ergun Y Uc; Amy M Johnson; Matthew Rizzo
Journal:  J Clin Exp Neuropsychol       Date:  2012-09-03       Impact factor: 2.475

  5 in total

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