Literature DB >> 12452276

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

John D Lee1, Daniel V McGehee, Timothy L Brown, Michelle L Reyes.   

Abstract

Rear-end collisions account for almost 30% of automotive crashes. Rear-end collision avoidance systems (RECASs) may offer a promising approach to help drivers avoid these crashes. Two experiments performed using a high-fidelity motion-based driving simulator examined driver responses to evaluate the efficacy of a RECAS. The first experiment showed that early warnings helped distracted drivers react more quickly--and thereby avoid more collisions--than did late warnings or no warnings. Compared with the no-warning condition, an early RECAS warning reduced the number of collisions by 80.7%. Assuming collision severity is proportional to kinetic energy, the early warning reduced collision severity by 96.5%. In contrast, the late warning reduced collisions by 50.0% and the corresponding severity by 87.5%. The second experiment showed that RECAS benefits even undistracted drivers. Analysis of the braking process showed that warnings provide a potential safety benefit by reducing the time required for drivers to release the accelerator. Warnings do not, however, speed application of the brake, increase maximum deceleration, or affect mean deceleration. These results provide the basis for a computational model of driver performance that was used to extrapolate the findings and identify the most promising parameter settings. Potential applications of these results include methods for evaluating collision warning systems, algorithm design guidance, and driver performance model input.

Mesh:

Year:  2002        PMID: 12452276     DOI: 10.1518/0018720024497844

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  21 in total

1.  Perception and biodynamics in unalerted precrash response.

Authors:  Daniel V McGehee; Oliver M J Carsten
Journal:  Ann Adv Automot Med       Date:  2010

2.  A randomized, crossover, placebo-controlled clinical trial to assess the sensitivity of the CRCDS Mini-Sim to the next-day residual effects of zopiclone.

Authors:  Arthur A Simen; Cynthia Gargano; Jang-Ho Cha; Melissa Drexel; An Bautmans; Ingeborg Heirman; Tine Laethem; Thomas Hochadel; Lien Gheyle; Kim Bleys; Chan Beals; Aubrey Stoch; Gary G Kay; Arie Struyk
Journal:  Ther Adv Drug Saf       Date:  2015-06

3.  Augmented reality cues to assist older drivers with gap estimation for left-turns.

Authors:  Michelle L Rusch; Mark C Schall; John D Lee; Jeffrey D Dawson; Matthew Rizzo
Journal:  Accid Anal Prev       Date:  2014-06-18

4.  Fine-tuning ADAS algorithm parameters for optimizing traffic safety and mobility in connected vehicle environment.

Authors:  Hao Liu; Heng Wei; Ting Zuo; Zhixia Li; Y Jeffrey Yang
Journal:  Transp Res Part C Emerg Technol       Date:  2017-03       Impact factor: 8.089

5.  Dynamics of Driver Distraction: The process of engaging and disengaging.

Authors:  John D Lee
Journal:  Ann Adv Automot Med       Date:  2014

6.  Estimates of prevalence and risk associated with inattention and distraction based upon in situ naturalistic data.

Authors:  Thomas A Dingus
Journal:  Ann Adv Automot Med       Date:  2014

7.  Cross-modal warnings for orienting attention in older drivers with and without attention impairments.

Authors:  Monica N Lees; Joshua Cosman; John D Lee; Shaun P Vecera; Jeffrey D Dawson; Matthew Rizzo
Journal:  Appl Ergon       Date:  2011-12-26       Impact factor: 3.661

8.  Directing driver attention with augmented reality cues.

Authors:  Michelle L Rusch; Mark C Schall; Patrick Gavin; John D Lee; Jeffrey D Dawson; Shaun Vecera; Matthew Rizzo
Journal:  Transp Res Part F Traffic Psychol Behav       Date:  2013-01

Review 9.  Modeling simple driving tasks with a one-boundary diffusion model.

Authors:  Roger Ratcliff; David Strayer
Journal:  Psychon Bull Rev       Date:  2014-06

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

Authors:  Benjamin D Lester; Lauren N Sager; Jeffrey Dawson; Sarah D Hacker; Nazan Aksan; Matthew Rizzo; Satoshi Kitazaki
Journal:  Proc Int Driv Symp Hum Factors Driv Assess Train Veh Des       Date:  2015-06
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