Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)

An Actuarial Model of Autonomous Vehicles

Authors
Heyan Wang, Jun Xie, Chi Mo
Corresponding Author
Heyan Wang
Available Online May 2017.
DOI
10.2991/ammsa-17.2017.89How to use a DOI?
Keywords
autonomous vehicles; actuarial model; manual vehicles; poisson distribution
Abstract

The technology of autonomous vehicles is growing fast in current time. On one hand, the popularization of autonomous vehicles is expected to greatly reduce the occurrence of traffic accidents, meanwhile lowers the income of premium for insurance companies; on the other hand, the decrease of traffic accidents also reduces the amount of claim for these companies. Based on the actuarial model of manual vehicles and the data of current autonomous vehicles, this paper proposes an actuarial model for autonomous vehicles, and then computes the corresponding premium. Through comparison between the premiums of autonomous vehicles and manual vehicles, we find that autonomous vehicles reduce not only the financial burden on their owners, but also the burden and cost of health on the entire society.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
May 2017
ISBN
10.2991/ammsa-17.2017.89
ISSN
1951-6851
DOI
10.2991/ammsa-17.2017.89How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Heyan Wang
AU  - Jun Xie
AU  - Chi Mo
PY  - 2017/05
DA  - 2017/05
TI  - An Actuarial Model of Autonomous Vehicles
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
PB  - Atlantis Press
SP  - 396
EP  - 398
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-17.2017.89
DO  - 10.2991/ammsa-17.2017.89
ID  - Wang2017/05
ER  -