• Yunwei Meng Chongqing Jiaotong University
  • Shibao Li
  • Kang Chen
  • Binbin Li
  • Guangyan Qing



Mountainous road, Landscape, Shift of gaze while driving, Vision interesting area, Analysis of pavement mechanics, Markov chain


Mountainous road landscape is the main source of driving information. The characteristics of two-lane mountainous road result in real-time dynamic changes in the driver's vision interesting areas. In order to explore the dynamic gaze characteristics, a driving experiment is conducted, and the gaze data of 10 drivers are collected. Markov chain is used to analyze the change process of gaze. The results show that: (1) when the current gaze point is in the straight front area, different road landscape has no significant impact on the gaze shift probability; (2) when the current gaze point is in the near left area, next gaze will expand the search scope to obtain much more driving information; (3) when the current gaze point is in the near right area, there is a high probability that the driver's next gaze will return to the front area; (4) when the current gaze point is in the far right area, the gaze will move back and forth between the near right and the far right areas; (5) when the current gaze point is in the far left area, there is a high probability that the gaze will remain in current area; (6) the main source of traffic information obtained by the driver in mountainous road landscape is the straight front area in the vision field, and the gaze point constantly shifts between the far ahead and the near ahead. The research results can provide technical reference for the construction of landscape in mountainous two-lane road.


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Yang L.H, Zhu X.G, 2020 , Driving safety and structural characteristics of driving visual space in the viaduct section of an urban expressway. [J] . Journal of Harbin Institute of Technology,52(05):186-193.

Pan X.D, Fang Q , Jiang H. 2010 , Driving Visual Demand- based Safety Evaluation of Mountainous Highway Horizontal Curve. [J]. Journal of Tongji University(Natural Science). 38(12):1763-1766.

Meng Y.W, Cai H.Q, Chen L, et al. 2022, Research on driving visual comfort of two-lane mountainous road based on traffic safety evaluation[J]. Engineering Reports,e12561.

Qin Y.Q, Zhao P.Y, Xie J.M, et al.2022, A Review of Research on Driver's Visual Load.[J]. Journal of Kunming University of Science and Technology(Natural Science) ,47(06):137-153.

Jeong-Hun M, Landphair H C, Naderi J R. 2006, Landscape improvement impacts on roadside safety in Texas. [J]. Landscape and Urban Planning, 78( 3):263-274.

Shan Bao, Linda Ng Boyle. 2009, Age-related differences in visual scanning at median-divided highway intersections in rural areas[J]. Accident Analysis and Prevention, 41(1): 146-152.

Ma Y, Fu R, Meng N,et al. 2015 , Impact of Road Conditions on Car Drivers Fixation Behavior with On-road Vehicle Tests[J]. Journal of Transportation Systems Engineering and Information Technology, 15(3): 82-88.

Yang Y.X, 2014, The Driver's Viewpoint Distribution Characteristics and Landscape Construction Countermeasures in Mountainous Freeway[D].Chongqing Jiaotong University.

Yuan W, Fu R, Guo Y.S,et al.2012. Driver's visual transition characteristics based on the Markov chain [J]. Journal of Chang'an University(Natural Science Edition) . vol. 32(6):88-93.

Yuan W, Guo Y.S, Fu R, et al.2014. Influence of urban road section types on drivers' workload[J]. Journal of Chang'an University(Natural Science Edition). Vol. 34(5): 95-100.

Ji B. K, 2014 . Research on Driving Behavior Prediction Method based on Driver's Visual Characteristics[D]. Jilin University.

Xu Q, Guo T, Shao F, et al. 2017, Division of area of fixation interest for real vehicle driving tests[J]. Mathematical Problems in Engineering, 2017.

Meng YW, Cai HQ. 2021, Preliminary quantitative research on characteristics of driving visual sensitive region in mountainous highway environment[J]. Int J Intell Inf Manag Sci, vol.10(6): 184-188.

Shu P , Guo P Y, Fei S, et al. 2018, Research on fixation transfer characteristics of drivers driving through urban tunnel[J]. China Safety Science Journal, vol.28(8): 19.

Meng Y.W, Chen L. 2020 ,Research on the calculation method of driving visual information on mountain roads [J]. Transportation System Engineering and Information, vol.20 (05): 45-50+63.

He S.M, Du Z.G, Han L, et al,2022, Research on driver's gaze behavior characteristics in urban tunnel diversion area [J]. Journal of Wuhan University of Technology (Traffic Science and Engineering Edition), vol.46 (02): 230-234+241

Qi W, Wen H, Wu Y. 2015, Evolution Trend of Driver’s Visual Characteristics under Traffic Congestion[M], //CICTP, 2015: 2785-2791.

Qi C.H, Wang X.N , Zhu S.L,2021, Research on information threshold of traffic engineering facilities based on driver's visual interest area [J]. Journal of Chongqing Jiaotong University (Natural Science Edition),vol.40 (07): 53-60

Guo W,2014, Research on lighting environment at tunnel entrance based on driving visual safety [D] Shanghai: Tongji University.

Lee Y C, Lee J D, Ng Boyle L. 2007, Visual attention in driving: The effects of cognitive load and visual disruption[J]. Human Factors, vol.49(4): 721-733.

Shih Hsuan Huang, Jinn Tsai Wong.2015, A multinomial choice model approach for dynamic driver vision transitions [J]. Accident Analysis and Prevention,vol. 74: 107-117.

Meng Y W, Wen L, Liu T, et al. 2023, Research on catastrophe progression of driving load in mountainous road based on visual and environmental characteristics[J]. Engineering Reports,vol. 5(1): e12554.