Literature DB >> 33799961

Study on the Relationship between Drivers' Personal Characters and Non-Standard Traffic Signs Comprehensibility.

Antoni Wontorczyk1, Stanislaw Gaca2.   

Abstract

Drivers' incorrect perception and interpretation of the road space are among reasons for human errors. Proper road markings are elements improving perception of road space. Their effectiveness relies on traffic participants receiving the provided information correctly. The range of signs used is constantly expanding and unusual situations in traffic require use of non-standard signs or an unusual combination of existing standard signs. The aim of this study was to explore the level of comprehensibility of four different types of non-standard signs. The relationship between the level of comprehensibility of these signs and personality traits of the drivers was also studied. A total of 369 drivers were tested using a questionnaire to analyze the traffic signs comprehensibility and Five Factor Inventory (NEO-FFI). The obtained results indicate that symbolic signs, unlike symbolic and text ones, are much better comprehended by drivers. Men comprehend the significance of non-standard symbolic regulatory signs better than women. Higher level of comprehensibility of symbolic and text regulatory signs is shown by older, better educated drivers and professional drivers. The study found there is a link between personality traits of the driver and the comprehensibility of symbolic regulatory signs.

Entities:  

Keywords:  comprehensibility traffic signs; driver personality traits; non-standard signs; symbolic and text signs; warning and regulatory signs

Mesh:

Year:  2021        PMID: 33799961      PMCID: PMC7967337          DOI: 10.3390/ijerph18052678

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  33 in total

1.  Drivers' comprehension of traffic information on graphical route information panels.

Authors:  Chien-Jung Lai
Journal:  Accid Anal Prev       Date:  2011-10-01

2.  Cognitive processing of traffic signs in immersive virtual reality environment: An ERP study.

Authors:  Baolin Liu; Zhongning Wang; Guanjun Song; Guangning Wu
Journal:  Neurosci Lett       Date:  2010-08-27       Impact factor: 3.046

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Journal:  Accid Anal Prev       Date:  1997-09

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Journal:  Hum Factors       Date:  2001       Impact factor: 2.888

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Journal:  J Psychol       Date:  1973-01

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Journal:  Br J Psychol       Date:  1970-08

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Authors:  D J Begg; J D Langley; S M Williams
Journal:  Accid Anal Prev       Date:  1999 Jan-Mar

8.  Ergonomic guidelines for traffic sign design increase sign comprehension.

Authors:  Tamar Ben-Bassat; David Shinar
Journal:  Hum Factors       Date:  2006       Impact factor: 2.888

9.  Structural model for estimating the influence of cognitive reserve on cognitive performance in adults with subjective memory complaints.

Authors:  Cristina Lojo-Seoane; David Facal; Joan Guàrdia-Olmos; Onésimo Juncos-Rabadán
Journal:  Arch Clin Neuropsychol       Date:  2014-03-23       Impact factor: 2.813

10.  Predicting Crashes Using Traffic Offences. A Meta-Analysis that Examines Potential Bias between Self-Report and Archival Data.

Authors:  Peter Barraclough; Anders Af Wåhlberg; James Freeman; Barry Watson; Angela Watson
Journal:  PLoS One       Date:  2016-04-29       Impact factor: 3.240

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