Advertisement

Influence of Different Types of Auxiliary Sensors on the Behaviors of Right Turn and Right Changes of Lane

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10911)

Abstract

There is a visual blind spot when a driver tries to change his direction to right. If the driver ignores the blind spot, the vehicle accident may be occurred. Therefore, many drivers install sensor devices which can help them to know the blind spots on the right of the road. The paper conducted the online questionnaire to acquire the degree of driver’s subjective acceptance of for different external tips. And later a simulation experiment was conducted to compare the performances of three different modes of human-computer interaction for the auxiliary devices during the turning right and changes of lane process, including the sound tips, flash tips and vibration tips. Nine non-professional drivers aged between 21 and 24 with one to five years of driving age conducted the experiments. The times of action and response time were recorded and analyzed. The result shows that in the three kinds of tips in the sound tips is more effective.

Keywords

Auxiliary sensors turn right Sound tips Flash tips Vibration tips 

Notes

Acknowledgement

The research project presented in this paper is a part of the Project “Research on the Technology and Standard of Ergonomics Design for Information Display Interface”, which was supported by the Beijing Natural Fund. The authors would like to acknowledge the support of the Beijing Natural Fund for this project (9172008).

References

  1. 1.
    Chen, Y., Zhang, H., Qu, Z., Cao, N.: Signal intersection ahead of right turn vehicles and pedestrian conflict characteristics. J. Southwest Jiaotong Univ. 49(5), 897–903 (2014)Google Scholar
  2. 2.
    Xian, H.: Sub-task driving safety evaluation index and evaluation model research. Jilin University, Ph.D. thesis, August 2014Google Scholar
  3. 3.
    Pei, W.: The impact of information and communication on unsafe driving behavior. Tsinghua University, Ph.D. thesis, April 2011Google Scholar
  4. 4.
    Guan, W.: Experimental study on visual process of traffic signs by drivers. Beijing University of Technology, Ph.D. thesis, June 2014Google Scholar
  5. 5.
    Xia, X.: Study on the impact of overconfidence on risk driving behavior. Southwest Traffic University, Master thesis, November 2015Google Scholar
  6. 6.
    Bao, Y.: Signal intersection right turn motor vehicle and pedestrian movement process modeling and simulation. Nanjing University of Science and Technology, Master thesis, January 2017Google Scholar
  7. 7.
    Chen, Y.-H., Mingli, W.E.I., Qu, Z.-W., Zhang, H., Cao, N.: Parking characteristics of pedestrian crossing with left-hand car jamming at signalized intersection. J. Jilin Univ. 2015(1), 62–67 (2015)Google Scholar
  8. 8.
    Yang, X.: Study on decision-making model of turn-by-turn vehicles at signalized intersection. Beijing Traffic University, Master thesis (2012)Google Scholar
  9. 9.
    Wang, Q., Zhu, T., Zhu, K.N., Wu, L.: Visual and auditory sub-tasks on the driver’s visual impact and differences. Saf. Environ. 14(4), 49–51 (2014)Google Scholar
  10. 10.
    Chen, H.-H., Chen, S.-C.: The empirical study of automotive telematics acceptance in Taiwan: comparing three technology acceptance models. Int. J. Mobile Commun. 1(7), 53–56 (2009)Google Scholar
  11. 11.
    Yuan, W.: Experimental study on dynamic visual characteristics of car drivers in urban road environment. Chang’an University, Xi’an, China, Ph.D. thesis, June 2008Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Beijing University of Civil Engineering and ArchitectureBeijingChina
  2. 2.AQSIQ Key Laboratory of Human Factors and ErgonomicsChina National Institute of Standardization(CNIS)BeijingChina

Personalised recommendations