A Field Study of the Impact of Human Characteristics on the Use of Signs

Document Type : Original Article

Authors

1 Department of Civil Engineering, Islamic Azad University, North Tehran Branch, Tehran, Iran

2 Assistant Professor, Department of Civil Engineering, Islamic Azad University, Parand Branch, Iran

Abstract

Traffic signs are one of the essentials of roads around the world. While drivers are using them appropriately and take carefully concentrate on them, it’s reduces significant road accidents, which it's would depend on human characters. Therefore, in this research, a statistical population of 768 drivers in various categories had been investigated. All kinds of traffic signs such as informative, disciplinary, & route guidance signs were discussed in their corresponding categories. Questions about understanding, recognition and familiarity with signs were asked from 768 participants. The current problems with traffic signs were identified according to answered questions. This procedure was helpful for understanding and getting more familiar with different groups of traffic signs, so the most understandable type of traffic signs was identified. We evaluated drivers’ ability to recognize traffic signs by means of a special questionnaire, so different types of traffic signs were investigated according to their understandability. In order to perform our analysis, various groups of drivers were classified based on their age, education level, driving experience, gender. The collected answers were analyzed by statistical methods in SPSS software. According to the acquired results, it was proved that there is a direct relationship between education level and the ability to recognize traffic signs. On the other hand, there is an inverse relationship between driving experience and recognition of various traffic signs. The estimated Pearson correlation coefficient for respondents’ right-wrong answers with respect to education level is 0.56. It means that the higher the education level, the higher the percentage of right answers.

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References

[1]      Borowsky A, Shinar D, Parmet Y. Sign location, sign recognition, and driver expectancies. Transp Res Part F Traffic Psychol Behav 2008;11:459–65. doi:10.1016/j.trf.2008.06.003.
[2]      Vignali V, Bichicchi A, Simone A, Lantieri C, Dondi G, Costa M. Road sign vision and driver behaviour in work zones. Transp Res Part F Traffic Psychol Behav 2019;60:474–84. doi:10.1016/j.trf.2018.11.005.
[3]      Carlson PJ, Pike AM, Miles JD, Ullman BR, Stevens R, Borchardt DW. Evaluation Of Traffic Control Devices. Type of Report and Period Covered Unclassified 2010.
[4]      Oviedo-Trespalacios O, Truelove V, Watson B, Hinton JA. The impact of road advertising signs on driver behaviour and implications for road safety: A critical systematic review. Transp Res Part A Policy Pract 2019;122:85–98. doi:10.1016/j.tra.2019.01.012.
[5]      Kang M-W, Momtaz SU. Assessment of driver compliance on roadside safety signs with auditory warning sounds generated from pavement surface–a driving simulator study. J Traffic Transp Eng (English Ed 2018;5:1–13. doi:10.1016/j.jtte.2017.09.001.
[6]      Tabrizi A. Rule of Installation of Vertical Traffic Signs (General). Erf Publications of Iran. Tehran( in edition Persian). 2003.
[7]      Forbes TW, Holmes RS. Legibility distances of highway destination signs in relation to letter height, letter width, and reflectorization. Highw. Res. Board Proc., vol. 19, 1940.
[8]      Al-Madani H, Al-Janahi A-R. Assessment of drivers’ comprehension of traffic signs based on their traffic, personal and social characteristics. Transp Res Part F Traffic Psychol Behav 2002;5:63–76. doi:10.1016/S1369-8478(02)00006-2.
[9]      HESAMI S, ATGHAEI M. Model to Assess Legibility of Guide Signs Based on Driver Expectations 2016.
[10]    Wang F. Study on signs comprehension and driving safety based on drivers’ psychology perception. ICTCT Extra Work., 2007.
[11]     Zahabi M, Machado P, Pankok C, Lau MY, Liao Y-F, Hummer J, et al. The role of driver age in performance and attention allocation effects of roadway sign count, format and familiarity. Appl Ergon 2017;63:17–30. doi:10.1016/j.apergo.2017.04.001.
[12]    Gholam-ali B, Ahmadiyan S. Optimal traffic signage can be accessed quickly by using a demonstration service for drivers. 13th Int Conf Transp Traffic Eng Tehran, Vice-President Transp Traffic Organ 2014.
[13]    Taamneh M, Alkheder S. Traffic sign perception among Jordanian drivers: An evaluation study. Transp Policy 2018;66:17–29. doi:10.1016/j.tranpol.2018.02.017.
[14]    Shinar D, Vogelzang M. Comprehension of traffic signs with symbolic versus text displays. Transp Res Part F Traffic Psychol Behav 2013;18:72–82. doi:10.1016/j.trf.2012.12.012.
[15]    Ou Y-K, Liu Y-C. Effects of sign design features and training on comprehension of traffic signs in Taiwanese and Vietnamese user groups. Int J Ind Ergon 2012;42:1–7. doi:10.1016/j.ergon.2011.08.009.
[16]    SADAT HSM, SOLEYMANI M. The Study of Fatal Highway Accidents’ Causes (A Case Study of Esfahan) 2009.
[17]    Poulopoulou M, Spyropoulou I. Active traffic management in urban areas: Is it effective for professional drivers? The case of variable message signs. Transp Res Part A Policy Pract 2019;130:412–23. doi:10.1016/j.tra.2019.09.060.
[18]    Razzak A, Hasan T. Motorist understanding of traffic signs: a study in Dhaka city. J Civ Eng 2010;38:17–29.
[19]    BAYAM E, LIEBOWITZ J, AGRESTI W. Older drivers and accidents: A meta analysis and data mining application on traffic accident data. Expert Syst Appl 2005;29:598–629. doi:10.1016/j.eswa.2005.04.025.
[20]    Viseh A, Roozbeh M, Chachi J. Research method and statistical tests. Master thesis, Semnan University. 2018.
[21]    Seyed-moradi A, Rabani-khorasghani R, Yazd-khasti B, Adibi-sadeh M. Investigating the Socio-Cultural Factors Affecting People’s Participation in the Parliamentary Elections (1979-2003), (a Survey Survey in Dare Shahr City). Master thesis, Esfahan University. 2008.

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History

  • Receive Date: 23 January 2020
  • Revise Date: 30 March 2020
  • Accept Date: 09 April 2020

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