Longitudinal motion cueing effects on driver behaviour: A driving simulator study

被引:0
作者
Ghasemi N. [1 ,2 ]
Imine H. [2 ]
Simone A. [1 ]
Lantieri C. [1 ]
Vignali V. [1 ]
Finamore K. [1 ]
机构
[1] Department of Civil, Chemical, Environmental and Materials Engineering -DICAM, University of Bologna
[2] Laboratory for Road Operations, Perception, Simulators and Simulations - LEPSIS, French Institute of Science and Technology for Transport (IFSTTAR)
来源
Advances in Transportation Studies | 2019年 / 49卷
关键词
Braking behaviour; Driving simulator; Motion Cueing Algorithm; Reaction time; Surge motion perception; Time to collision;
D O I
10.4399/97888255280917
中图分类号
学科分类号
摘要
Driving simulator provides a safe environment to measure driving behaviour by using several sensory cueing systems that enhance the driver’s immersion in the virtual environment. The motion cueing system in driving simulator provides information on the vehicle movements with the use of motion cueing algorithms. The present study aims to investigate the effect of different motion cueing algorithms in a car following and braking task. The algorithms were developed in MATLAB-Simulink and were tested by 20 participants in a driving simulator. The simulator sickness questionnaire and session evaluation questionnaire were used to evaluate the simulator experience. The participants were able to rate the driving simulation experience based on the perceived motion. By investigating driver behaviour, Inter-vehicular distance has changed with motion scenarios. Indicators such as time to reaction, time to collision and effective braking time were examined with statistical test, but no difference was observed with different motion feedback. The study illustrated that different motion cues in driving simulator did not affect the cognitive and motor skills of the participants; however, it influenced the driver perception ofthe relative distance in the braking scenario. © 2019, Gioacchino Onorati Editore. All rights reserved.
引用
收藏
页码:91 / 102
页数:11
相关论文
共 28 条
  • [1] Fisher D.L., Rizzo M., Caird J.K., Lee J.D., Handbook of Driving Simulation for Engineering, Medicine, (2011)
  • [2] Villa C., Bremond R., Girard J., High Dynamic Range Displays improve the realism of motion cues in night driving simulators, Displays, 52, pp. 30-39, (2018)
  • [3] Caro S., Cavallo V., Marendaz C., Boer E.R., Vienne F., Can headway reduction in fog be explained by impaired perception ofrelative motion?, Human Factors, 51, pp. 378-392, (2009)
  • [4] Lackner J.R., DiZio P., Space Motion Sickness, Experimental Brain Research, 175, pp. 377-399, (2006)
  • [5] Wertheim A.H., Human performance in a moving environment, Ergonomics, 41, 12, pp. 1845-1858, (1997)
  • [6] Reason J.T., Motion sickness adaptation: A neural mismatch model, Journal of the Royal Society ofMedicine, 71, pp. 819-829, (1978)
  • [7] Bles W., Bos J.E., Graaf B., De Groen E., Wertheim A.H., Motion sickness Only one provocative conflict, 47, pp. 481-487, (1999)
  • [8] Lobjois R., Siegler I.A., Mars F., Effects of visual roll on steering control and gaze behavior in a motorcycle simulator, Transportation Research Part F: Traffic Psychology and Behaviour, 38, pp. 55-66, (2016)
  • [9] Hogema J., Wentink M., Bertollini G., Effects of Yaw Motion on Driving Behaviour, Comfort and Realism, Driving Simulation Conference, pp. 1-8, (2012)
  • [10] Lakerveld P.R., Damveld H.J., Pool D.M., van der El K., van Paassen M.M., Mulder M., The Effects of Yaw and Sway Motion Cues in Curve Driving Simulation, IFAC-PapersOnLine, 49, pp. 500-505, (2016)