|Table of Contents|

[1] Guo Tangyi, Pan Shu, Shao Fei, Xu Qian, et al. Drivers’ fixation transfer characteristics in urban tunnels [J]. Journal of Southeast University (English Edition), 2021, 37 (3): 325-331. [doi:10.3969/j.issn.1003-7985.2021.03.013]
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Drivers’ fixation transfer characteristics in urban tunnels()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
37
Issue:
2021 3
Page:
325-331
Research Field:
Traffic and Transportation Engineering
Publishing date:
2021-09-20

Info

Title:
Drivers’ fixation transfer characteristics in urban tunnels
Author(s):
Guo Tangyi1 Pan Shu2 Shao Fei3 Xu Qian3
1School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
2China Design Group, Nanjing 210014, China
3College of Field Engineering, Army Engineering University of PLA, Nanjing 210007, China
Keywords:
traffic safety urban tunnel eye movement fixation transfer Markov theory
PACS:
U49
DOI:
10.3969/j.issn.1003-7985.2021.03.013
Abstract:
To improve the safety performance of urban tunnels, the fixation transfer characteristics of drivers with different driving experience levels in urban tunnels were investigated. First, a real vehicle test was performed in an urban tunnel, and the eye movement data of 10 drivers with different driving experience levels were collected using a Dikablis eye-tracking system. Second, the driver fixation range was divided into eight areas of visual interest by using the K-means clustering method, and the fixations in different sections of the tunnel were comparatively analyzed. Finally, on the basis of the divided areas of visual interest, fixation transfer rules and the stationary distribution characteristics of drivers with different driving experience levels on different sections of the tunnel were discussed using Markov theory. Results indicate that drivers’ probability of repeated fixation is greater and that the efficiency of visual search is lower at internal sections of tunnels than in external sections. Drivers obtain information mainly from the straight upper front and straight lower front areas, and the probabilities of fixation points in these two areas at the threshold and exit sections are significantly higher than those in other sections. Relative to experienced drivers, novice drivers allocate little attention to the straight upper front area and rear-view mirrors. Hence, they have weak fixation when looking forward, and they lack experience in obtaining information on rear-approaching vehicles and controlling speed.

References:

[1] Hung Y N. “What are you looking at?”An eye movement exploration in science text reading[J]. International Journal of Science and Mathematics Education, 2014, 12(2): 241-260. DOI:10.1007/s10763-013-9406-z.
[2] Shi L N, Tu Y, Wang X J. Research of energy-saving design for tunnel lighting based on earlier and new specifications[J]. China Illuminating Engineering Journal, 2015, 26(1): 50-54.(in Chinese)
[3] Polus A, Mattar-Habib C. New consistency model for rural highways and its relationship to safety[J]. Journal of Transportation Engineering, 2004, 130(3): 286-293. DOI:10.1061/(asce)0733-947x(2004)130: 3(286).
[4] Ryu D, Cooke A, Bellomo E, et al. Watch out for the hazard! Blurring peripheral vision facilitates hazard perception in driving[J]. Accident Analysis & Prevention, 2020, 146: 105755. DOI:10.1016/j.aap.2020.105755.
[5] Ma Y L, Hu B Y, Chan C Y, et al. Distractions intervention strategies for in-vehicle secondary tasks: An on-road test assessment of driving task demand based on real-time traffic environment[J].Transportation Research Part D: Transport and Environment, 2018, 63: 747-754. DOI:10.1016/j.trd.2018.07.005.
[6] Vlakveld W, Romoser M R, Mehranian H, et al. Do crashes and near crashes in simulator-based training enhance novice drivers’ visual search for latent hazards?[J]. Transportation Research Record, 2011, 2265: 153-160. DOI:10.3141/2265-17.
[7] Meng Y, Wang J, Xia Y, et al. Effects of music’s emotional styles and tempo on driving behavior and eye movement: A driving simulation study[J]. Advances in Intelligent Systems and Computing, 2014, 215: 565-576.
[8] Hariyama T, Kato T. Rally driver’s eye movements when driving the corner on gravel road—differences between world rally championship and national championship drivers[M]//Advances in Intelligent Systems and Computing. Cham: Springer International Publishing, 2018: 174-178. DOI:10.1007/978-3-319-96074-6_18.
[9] Sun Q C, Xia J C, He J B, et al. Towards unpacking older drivers’ visual-motor coordination: A gaze-based integrated driving assessment[J].Accident Analysis & Prevention, 2018, 113: 85-96. DOI:10.1016/j.aap.2018.01.019.
[10] Ren H R, Ye Z X, Li Z W. Anomaly detection based on a dynamic Markov model[J]. Information Sciences, 2017, 411: 52-65. DOI:10.1016/j.ins.2017.05.021.

Memo

Memo:
Biographies: Guo Tangyi(1982—), male, doctor, associate professor, transtor@njust.edu.cn; Shao Fei(corresponding author), male, doctor, professor, shaofeiriver@foxmail.com.
Foundation items: The National Key Research and Development Program of China(No. 2019YFE0123800), the Fundamental Research Funds for the Central Universities(No.30919011290, 30920010010).
Citation: Guo Tangyi, Pan Shu, Shao Fei, et al. Drivers’ fixation transfer characteristics in urban tunnels[J].Journal of Southeast University(English Edition), 2021, 37(3):325-331.DOI:10.3969/j.issn.1003-7985.2021.03.013.
Last Update: 2021-09-20