Development of Evaluating Methods for Passenger’s Motion Sickness in Real Driving Environment

Author:

Bando Shizuka1,Shiogai Yuri1,Hirao Akinari1

Affiliation:

1. Nissan Motor

Publisher

Society of Automotive Engineers of Japan, Inc.

Subject

Fluid Flow and Transfer Processes,Safety, Risk, Reliability and Quality,Automotive Engineering,Human Factors and Ergonomics

Reference26 articles.

1. (1) Strategic Conference for the Advancement of Utilizing Public and Private Sector Data, Strategic Headquarters for the Advanced Information and Telecommunications Network Society: Public-Private ITS Initiative/Roadmap 2019 (2019) (In Japanese).

2. (2) A. Malokin, G. Circella, P. L. Mokhtarian: How do activities conducted while commuting influence mode choice? Using revealed preference models to inform public transportation advantage and autonomous vehicle scenarios, Transportation Research Part A: Policy and Practice, Vol. 124, pp. 82-114 (2019).

3. (3) M. Sivak and B. Schoettle: Motion sickness in self-driving vehicles, University of Michigan, Ann Arbor, Transportation Research Institute (2015).

4. (4) C. Diels and J. E. Bos: Self-driving carsickness, Applied ergonomics, Vol. 53, pp. 374-382 (2016).

5. (5) S. Joseph, P. Jennings, A. Mouzakitis, and S. Birrell: Too sick to drive: How motion sickness severity impacts human performance. In 2018 21st International Conference on Intelligent Transportation Systems (ITSC), IEEE, pp. 1787- 1793 (2018).

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