A Field Study about the Effects of Asymmetric Visual Perception on Lateral Driving Behaviors on Curves
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 150, Issue 11
Abstract
The hypothesis that drivers are balancing perceptual speed on both sides of the visual field is proposed through the analysis of the driver’s decision on lateral positioning. Moreover, the temporal frequency of the occurrence of visual stimuli may have an impact on perceptual speed. This research conducts a series of experiments on right-turn and left-turn freeway curves to investigate the driver’s lateral driving behavior. A series of edge lines are installed on the road surface to act as visual stimuli, with temporal frequency ratios of and on both sides. Three observation sections, namely, the spiral-circle point, midpoint, and circle-spiral point of the curves, are selected to gather the driver’s lateral driving behaviors. The results revealed that drivers deviate from the side with a higher temporal frequency compared with that with a lower temporal frequency on both right-turn and left-turn curves. The average deviation distance with a temporal frequency ratio of is significantly greater than that with a ratio of . Additionally, there exists a positive correlation between the deviation distance and the disparity in temporal frequency between both sides. Furthermore, the disparity in temporal frequency and the rate of expansion of the visual angle produce interactive impacts on the lateral position of vehicles. Moreover, the original lateral positions of vehicles affect this interaction. The findings of this study suggest a novel approach to enhance lateral driving maneuvers and provide a constructive countermeasure to prevent accidents on freeway curves.
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Data Availability Statement
All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This work is supported by the National Natural Science Foundation of China (Nos. 71801176 and 52302416), the Knowledge Innovation Program of Wuhan-Shugung Project (2023010201020305), and the Scientific and Technological Project of the Ministry of Transport of the People’s Republic of China (No. 2010353342240). The authors are grateful for the assistance of the experiment participants.
References
AASHTO. 2011. A policy on geometric design of highways and streets. Washington, DC: AASHTO.
Awan, H. H., A. Pirdavani, A. Houben, S. Westhof, M. Adnan, and T. Brijs. 2019. “Impact of perceptual countermeasures on driving behavior at curves using driving simulator.” Traffic Inj. Prev. 20 (1): 93–99. https://doi.org/10.1080/15389588.2018.1532568.
Baird, E., M. V. Srinivasan, S. Zhang, and A. Cowling. 2005. “Visual control of flight speed in honeybees.” J. Exp. Biol. 208 (20): 3895–3905. https://doi.org/10.1242/jeb.01818.
Bhagavatula, P. S., C. Claudianos, M. R. Ibbotson, and M. V. Srinivasan. 2011. “Optic flow cues guide flight in birds.” Curr. Biol. 21 (21): 1794–1799. https://doi.org/10.1016/j.cub.2011.09.009.
Chatziastros, A., G. M. Wallis, and H. H. Bülthoff. 1999. The use of optical flow and splay angle in steering a central path. Tübingen, Germany: Max Planck Institute for Biological Cybernetics.
Chou, Y.-H., R. C. Wagenaar, E. Saltzman, J. E. Giphart, D. Young, R. Davidsdottir, and A. Cronin-Golomb. 2009. “Effects of optic flow speed and lateral flow asymmetry on locomotion in younger and older adults: A virtual reality study.” J. Gerontol. B Psychol. Sci. Soc. Sci. 64B (2): 222–231. https://doi.org/10.1093/geronb/gbp003.
Denton, G. G. 1980. “The influence of visual pattern on perceived speed.” Perception 9 (4): 393–402. https://doi.org/10.1068/p090393.
Duchon, A. P., and W. H. J. Warren. 2002. “A visual equalization strategy for locomotor control: Of honeybees, robots, and humans.” Psychol. Sci. 13 (3): 272–278. https://doi.org/10.1111/1467-9280.00450.
Dyhr, J. P., and C. M. Higgins. 2010. “The spatial frequency tuning of optic-flow-dependent behaviors in the bumblebee Bombus impatiens.” J. Exp. Biol. 213 (10): 1643–1650. https://doi.org/10.1242/jeb.041426.
Hussain, Q., W. K. M. Alhajyaseen, N. Reinolsmann, K. Brijs, A. Pirdavani, G. Wets, and T. Brijs. 2021. “Optical pavement treatments and their impact on speed and lateral position at transition zones: A driving simulator study.” Accid. Anal. Prev. 150 (Feb): 105916. https://doi.org/10.1016/j.aap.2020.105916.
Jiao, F., Z. Du, Y. D. Wong, J. Mei, and F. Sun. 2023. “Design and evaluation of visual guiding facilities along urban road tunnel horizontal curves based on vision and speed perception.” Tunnelling Underground Space Technol. 133 (Mar): 104937. https://doi.org/10.1016/j.tust.2022.104937.
Kountouriotis, G. K., K. A. Shire, C. D. Mole, P. H. Gardner, N. Merat, and R. M. Wilkie. 2013. “Optic flow asymmetries bias high-speed steering along roads.” J. Vis. 13 (10): 23. https://doi.org/10.1167/13.10.23.
Li, L., and J. Chen. 2010. “Relative contributions of optic flow, bearing, and splay angle information to lane keeping.” J. Vis. 10 (11): 16. https://doi.org/10.1167/10.11.16.
Lucaites, K. M., R. Venkatakrishnan, R. Venkatakrishnan, and C. C. Pagano. 2023. “Generalizing the optic flow equalization control law to an asymmetrical person-plus-object system.” Attent. Percept. Psychophys. 85 (7): 2337–2355. https://doi.org/10.3758/s13414-023-02777-3.
MOT (Ministry of Transport of the People’s Republic of China). 2014. Technical standard of highway engineering. JTG BOl-2014. Beijing: China Communication Press.
MOT (Ministry of Transport of the People’s Republic of China). 2021. “Statistical bulletin on the development of the transportation industry in 2020.” Accessed May 19, 2021. https://xxgk.mot.gov.cn/2020/jigou/zhghs/202105/t20210517_3593412.html.
Robertshaw, K. D., and R. M. Wilkie. 2008. “Does gaze influence steering around a bend?” J. Vis. 8 (4): 18. https://doi.org/10.1167/8.4.18.
Shen, H., Y. Shimodaira, and G. Ohashi. 2005. “Speed-tuned mechanism and speed perception in human vision.” Syst. Comput. Jpn. 36 (13): 1–12. https://doi.org/10.1002/scj.20369.
Srinivasan, M. V., M. Lehrer, W. H. Kirchner, and S. W. Zhang. 1991. “Range perception through apparent image speed in freely flying honeybees.” Vis. Neurosci. 6 (5): 519–535. https://doi.org/10.1017/S095252380000136X.
Thompson, P. 1982. “Perceived rate of movement depends on contrast.” Vis. Res. 22 (3): 377–380. https://doi.org/10.1016/0042-6989(82)90153-5.
Wan, H., Z. Du, Q. Yan, and X. Chen. 2018. “Evaluating the effectiveness of speed reduction markings in highway tunnels.” Transport 33 (3): 647–656. https://doi.org/10.3846/transport.2018.1574.
Warren, R. 1982. Optical transformation during movement: Review of the optical concomitants of egomotion. Columbus, OH: Ohio State Univ. Research Foundation.
WHO (World Health Organization). 2023. “Road traffic injuries.” Accessed December 13, 2023. https://www.who.int/news-room/fact-sheets/detail/road-traffic-injuries.
Wilkie, R., and J. Wann. 2003. “Controlling steering and judging heading: Retinal flow, visual direction, and extraretinal information.” J. Exp. Psychol. Human Percept. Perform. 29 (2): 363–378. https://doi.org/10.1037/0096-1523.29.2.363.
Zhang, D., F. Chen, J. Zhu, C. Wang, J. Cheng, Y. Zhang, W. Bo, and P. Zhang. 2022. “Research on drivers’ hazard perception in plateau environment based on visual characteristics.” Accid. Anal. Prev. 166 (Mar): 106540. https://doi.org/10.1016/j.aap.2021.106540.
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© 2024 American Society of Civil Engineers.
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Received: Dec 7, 2023
Accepted: May 31, 2024
Published online: Aug 21, 2024
Published in print: Nov 1, 2024
Discussion open until: Jan 21, 2025
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