Comparative analysis of the driver's psychological perception of information and the use of road sign recognition systems
Khrystyna Barvinska, Олег HrytsunThis article analyzes drivers' psychophysiological perception of information on the road and the advantages of using means of automatic use of signs (TSR). A survey of drivers was conducted on the road section where traffic organization changed. The drivers were chosen with different driving experiences, age categories, and needs for using the car, but they used the road section under investigation even before its reconstruction. Drivers of vehicles by age category were divided into three categories: under 25 years of age (category 1), 42% of drivers aged 26 to 50 years (category 2), and 19% of drivers aged 50 and older (category 3). It was established that 47% of the first drivers' category use automatic road sign recognition tools, 31% of the second category use the TSR system, and only 22% of the third category use the road sign recognition system. Four new road signs were installed during the development of the design schemes for organizing traffic in the middle section at a distance of 50 m. Based on this, an additional survey was conducted on drivers' memorization of specific new signs installed on the investigated section of the road. The results of the survey of drivers of different age categories were taken into account. It was studied that the most perceived number of road signs for the third category of drivers are observed at a distance of 50 to 150 m. At a distance of 50 to 150 m, they concentrate their attention, and after 150 m, they forget about the changed scheme in the traffic organization. In conclusion, drivers, getting used to traffic routes, lose vigilance, and pay less attention to existing information signals, which causes them to make wrong decisions when changing traffic organization on certain road sections. It is proposed to use automatic road sign recognition tools that are not affected by external and internal factors to increase the reliability of drivers and ensure road safety.
References
[1] Babić, D., Babić, D., & Ščukanec, A. (2017). The impact of road familiarity on the perception of traffic signs – eye tracking case study. In Environmental engineering: Proceedings of the International conference on environmental engineering (Vol. 10). Vilnius: ICEE. doi: 10.3846/enviro.2017.131.
[2] Pašagić, S., Pašagić, J., & Ščukanec, A. (2000). Influence of driver's experience on textual traffic sign efficiency depending on visibility. Promet-Traffic&Transportation, 12(3), 109-114. doi: 10.3846/enviro.2017.131.
[3] Kaber, D., Pankok, C., Corbett, B., Ma, W., Hummer, J., & Rasdorf, W. (2015). Driver behavior in use of guide and logo signs under distraction and complex roadway conditions. Applied Ergonomics, 47, 99-106. doi: 10.1016/j.apergo.2014.09.005.
[4] Sun, L., Yao, L., Rong, J., Lu, J., Liu, B., & Wang, S. (2011). Simulation analysis on driving behavior during traffic sign recognition. International Journal of Computational Intelligence Systems, 4(3), 353-360. doi: 10.1080/18756891.2011.9727793.
[5] Charlton, S.G., & Starkey, N.J. (2011). Driving without awareness: The effects of practice and automaticity on attention and driving. Transportation Research Part F: Traffic Psychology and Behaviour, 14(6), 456-471. doi: 10.1016/j.trf.2011.04.010.
[6] Iden, R., & Shappell, S.A. (2006). A human error analysis of US fatal highway crashes 1990-2004. Human Factors and Ergonomics Society Annual Meeting, 50(17), 2000-2003. doi: 10.1177/154193120605001761.
[7] Hinton, J., Watson, B., & Oviedo-Trespalacios, O. (2022). A novel conceptual framework investigating the relationship between roadside advertising and road safety: The driver behaviour and roadside advertising conceptual framework. Transportation Research Part F: Traffic Psychology and Behaviour, 85, 221-235. doi: 10.1016/j.trf.2021.12.002.
[8] Martens, M.H. (2000). Assessing road sign perception: A methodological review. Transportation Human Factors, 2(4), 347-357.
[9] Pipkorn, L., Tivesten, E., & Dozza, M. (2022). It’s about time! Earlier take-over requests in automated driving enable safer responses to conflicts. Transportation Research Part F: Traffic Psychology and Behaviour, 86, 196-209. doi: 10.1016/j.trf.2022.02.014.
[10] Traffic-sign recognition (n.d.) Retrieved from https://en.wikipedia.org/wiki/Traffic-sign_recognition.
[11] Wang, Z., Wang, J., Li, Y., & Wang, S. (2022). Traffic sign recognition with lightweight two-stage model in complex scenes. IEEE Transactions on Intelligent Transportation Systems, 23(2), 1121-1131. doi: 10.1109/TITS.2020.3020556.
[12] Kiyashko, I.V., & Zolotukhin, R.O. (2019). Justification of the distances of information support facilities. Bulletin of the Kharkiv National Automobile and Road University, 86, 167-172.
[13] Kiyashko, I.V. (2014). Taking into account the psychophysiological features of drivers regarding their perception of means of information support. Modern Technologies in Mechanical Engineering and Transport, 1, 57-61.
[14] Gulev, N.U., Zozulevskyi, V.S., & Klymenko, S.O. (2016). The influence of the driver's age on the dynamics of changing his condition in a traffic jam. Communal Management of Cities. Series: Technical Sciences and Architecture, 132, 104-109.
[15] Shvets, V.V., Veremiy, O.H., Masniuk, K.S. (2012). The influence of the urban development situation on the psychological state of drivers. Modern Technologies, Materials and Structures in Construction, 1(12), 109-112.