Literature DB >> 12452277

Effects of an in-vehicle collision avoidance warning system on short- and long-term driving performance.

Avner Ben-Yaacov1, Masha Maltz, David Shinar.   

Abstract

Many new in-vehicle systems focus on accident prevention by facilitating the driving task. One such driving aid is an in-vehicle collision avoidance warning system (IVCAWS), used to alert the driver to an impending collision. Our study evaluated the effects of an imperfect IVCAWS both on driver headway maintenance and on driver behavior in response to warning system errors. Our results showed that drivers tend to overestimate their headway and consequently drive with short and potentially dangerous headways, and that IVCAWSs are a useful tool for educating drivers to estimate headway more accurately. Moreover, our study showed that after a relatively short exposure to the system, drivers were able to maintain longer and safer headways for at least six months. The practical implications of these results are that the use of an IVCAWS should be considered for inclusion in driver education and training programs.

Mesh:

Year:  2002        PMID: 12452277     DOI: 10.1518/0018720024497925

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


  5 in total

1.  Aging: Older Adults' Driving Behavior Using Longitudinal and Lateral Warning Systems.

Authors:  Dustin J Souders; Neil Charness; Nelson A Roque; Hellen Pham
Journal:  Hum Factors       Date:  2019-07-30       Impact factor: 2.888

2.  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

3.  The Relationship between in-Vehicle Technologies and Self-Regulation among Older Drivers.

Authors:  Austin M Svancara; Leon Villavicencio; Tara Kelley-Baker; William J Horrey; Lisa J Molnar; David W Eby; Thelma J Mielenz; Linda Hill; Carolyn DiGuiseppi; David Strogatz; Guohua Li
Journal:  Geriatrics (Basel)       Date:  2020-04-16

4.  Is a flick-through enough? A content analysis of Advanced Driver Assistance Systems (ADAS) user manuals.

Authors:  Oscar Oviedo-Trespalacios; Jennifer Tichon; Oliver Briant
Journal:  PLoS One       Date:  2021-06-17       Impact factor: 3.240

5.  Driving Performance and Technology Acceptance Evaluation in Real Traffic of a Smartphone-Based Driver Assistance System.

Authors:  Gheorghe-Daniel Voinea; Cristian Cezar Postelnicu; Mihai Duguleana; Gheorghe-Leonte Mogan; Radu Socianu
Journal:  Int J Environ Res Public Health       Date:  2020-09-28       Impact factor: 3.390

  5 in total

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