Literature DB >> 9302889

Human factors field evaluation of automotive headway maintenance/collision warning devices.

T A Dingus1, D V McGehee, N Manakkal, S K Jahns, C Carney, J M Hankey.   

Abstract

Three on-road studies were conducted to determine how headway maintenance and collision warning displays influence driver behavior. Visual perspective, visual perspective with a pointer, visual perspective combined with an auditory warning, discrete visual warning, and discrete auditory warning were assessed during both coupled headway and deceleration events. Results indicate that when drivers are provided with salient visual information regarding safe headways, they utilize the information and increase their headway when appropriate. Auditory warnings were less effective than visual warnings for increasing headways but may be helpful for improving reaction time during events that require deceleration. Drivers were somewhat insensitive to false alarm rates, at least during short-term use. Finally, and most important, driver headway maintenance increased by as much as 0.5 s when the appropriate visual display was used. However, a study to investigate the longterm effects of such displays on behavior is strongly recommended prior to mass marketing of headway maintenance/collision warning devices.

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Year:  1997        PMID: 9302889     DOI: 10.1518/001872097778543930

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


  5 in total

1.  DIFFERENCES IN SIMULATED CAR FOLLOWING BEHAVIOR OF YOUNGER AND OLDER DRIVERS.

Authors:  Elizabeth Dastrup; Monica N Lees; Jeffrey D Dawson; John D Lee; Matthew Rizzo
Journal:  Proc Int Driv Symp Hum Factors Driv Assess Train Veh Des       Date:  2009

2.  Assessing the residual teen crash risk factors after graduated drivers license implementation.

Authors:  Craig P Thor; Hampton C Gabler
Journal:  Ann Adv Automot Med       Date:  2010

3.  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

4.  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

5.  Developing an EEG-based on-line closed-loop lapse detection and mitigation system.

Authors:  Yu-Te Wang; Kuan-Chih Huang; Chun-Shu Wei; Teng-Yi Huang; Li-Wei Ko; Chin-Teng Lin; Chung-Kuan Cheng; Tzyy-Ping Jung
Journal:  Front Neurosci       Date:  2014-10-13       Impact factor: 4.677

  5 in total

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