Brake Power Required to Avoid Vehicular Obstruction with a Steadfast Obstacle

A Probabilistic Approach

Authors

  • Ephraim Suhir Portland State University, Portland, OR, USA

DOI:

https://doi.org/10.15377/2409-5761.2021.08.2

Keywords:

Brake power, Traffic safety, Steadfast obstacle, Vehicular obstruction, Probabilistic approach

Abstract

A probabilistic approach is applied to assess the level of the available brake power needed to avoid obstruction with a steadfast obstacle suddenly detected in front of a moving vehicle. The obtained results can be used to establish, on the design stage, the level of this power for an extraordinary situation of the type in question and for an acceptable (in effect, never-zero) probability of an accident.

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References

G.T.Taoka, “Brake Reaction Times of Unalerted Drivers”, ITE Journal, 59 (3), March 1989

O. Saraiev and Y. Gorb, "A Mathematical Model of the Braking Dynamics of a Car," SAE Technical Paper 2018-01-1893, 2018 DOI: https://doi.org/10.4271/2018-01-1893

E.Suhir and G. Paul, “Avoiding Collision in an Automated Driving Situation”, Theoretical Issues in Ergonomics Science, March 23, 2020 DOI: https://doi.org/10.1080/1463922X.2020.1729895

E. Suhir, G. Paul, H. Kaindl, “Towards Probabilistic Analysis of Human-System Integration in Automated Driving”, In: Ahram T., Karwowski W., Vergnano A., Leali F., Taiar R. (eds) “Intelligent Human Systems Integration”, 2020. IHSI 2020. Advances in Intelligent Systems and Computing, vol 1131. Springer, Cham, 2020 DOI: https://doi.org/10.1007/978-3-030-39512-4_2

E.Suhir, “Braking Power Required for Safe Landing: Probabilistic Approach”, Acta Astronautica, 2021, in print DOI: https://doi.org/10.1016/j.actaastro.2021.06.035

E. Suhir, Applied Probability for Engineers and Scientists, McGraw Hill, New York, 1997. DOI: https://doi.org/10.1115/1.2792237

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Published

2022-03-01

Issue

Section

Articles

How to Cite

Brake Power Required to Avoid Vehicular Obstruction with a Steadfast Obstacle: A Probabilistic Approach. (2022). Journal of Advances in Applied & Computational Mathematics, 8, 16-20. https://doi.org/10.15377/2409-5761.2021.08.2

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