Optimal Program for Autonomous Driving under Bentham- and Nash-type Social Welfare Functions
Optimal Program for Autonomous Driving under Bentham- and Nash-type Social Welfare Functions
复制标题
边沁型和纳什型社会福利函数下的自动驾驶最优方案
DOI：
10.1016/j.procs.2017.08.024
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Takeshi Ebina
中科院分区：
文献类型：
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作者：
Keita Kinjo;Takeshi Ebina
本文的目的是正式定义和解决当 AV 中有乘客且街道上有行人时，AV 如何决定其驾驶行为的伦理问题。我们构建了一个主要引入边沁型和纳什型两种社会福利函数的数学模型，并得出最优解。我们表明，根据函数及其参数的不同，最佳解决方案是完全不同的。我们的贡献是，自动驾驶汽车的政策制定者或管理者可以讨论问题，并通过形式化情况并提供最佳解决方案来确定自动驾驶算法。
The purpose of this paper is to formally define and solve ethical problems of how an artificial vehicle (AV) determines its driving behavior when there are some passengers in the AV and some pedestrians on a street. We construct a mathematical model introducing mainly two Bentham- and Nash-types social welfare functions, and derive optimal solutions. We show the optimal solutions are completely different depending on the functions and their parameters. Our contribution is that policymakers or managers of AVs can discuss the problem and determine an algorithm for autonomous driving by formalizing the situation and offering the optimal solutions.