Modeling individual differences in risk feeling of autonomous driving behavior with a prediction error

Author:

HASHIMOTO Takashi1,YANAGISAWA Hideyoshi1

Affiliation:

1. The University of Tokyo, Department of Mechanical Engineering, Design Engineering Lab.

Publisher

Japan Society of Mechanical Engineers

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Reference12 articles.

1. Daniel, K. and Amos, T., Prospect Theory: An Analysis of Decision under Risk, Econometrica, Vol. 47, No. 2 (1979), pp. 263-292.

2. Ishibashi, M., Okuwa, M., Doi, S. I. and Akamatsu, M., Indices for characterizing driving style and their relevance to car following behavior, in SICE Annual Conference 2007, IEEE, pp. 1132–1137.

3. Kondoh, T., Hirose, T. and Furuyama, N., A proposal of tailor-made risk feeling formula when closing on the lead vehicle, Japan Ergonomics Society, Vol. 50, No. 6 (2004), pp. 350–358 (in Japanese).

4. Kondoh, T., Yamamura, T., Kitazaki, S., Kuge, N. and Boer, E. R., Identification of visual cues and quantification of drivers' perception of proximity risk to the lead vehicle in car-following situations, Journal of Mechanical Systems for Transportation and Logistics, Vol. 1, No. 2 (2008), pp. 170–180.

5. McAllister, R., Gal, Y., Kendall, A., Van Der Wilk, M., Shah, A., Cipolla, R. and Weller, A., Concrete problems for autonomous vehicle safety: Advantages of Bayesian deep learning, International Joint Conferences on Artificial Intelligence, Inc., (2017), pp. 4745-4753.

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