Publication Type

Conference Paper

Book Title/Conference/Journal

International Workshop on AI Compliance Mechanism WAICOM 2022

Year

12-2022

Abstract

Making a driving decision according to traffic rules is a challenging task for improving the safety of Autonomous Vehicles (AVs). Traffic rules often contain open texture expressions and exceptions, which makes it hard for AVs to follow them. This paper introduces a Defeasible Deontic Logic (DDL) baseddriving decision-making methodology for AVs. We use DDL to formalize traffic rules and facilitate automated reasoning. DDL is used to effectively handle rule exceptions and resolve open texture expressions in rules. Furthermore, we supplement the information provided by the traffic rules by an ontology for AV driving behaviour and environment information. This methodology performs automated reasoning on formalized traffic rules and ontology-based AV driving information to make the driving decision by following the traffic rule. The over-taking traffic rule is our case study to illustrate the usefulness of our methodology. The case study evaluation showed the effectiveness of this proposed driving decision-making methodology.

Keywords

Autonomous Vehicle, Driving-Decision, Overtaking, Defeasible Deontic Logic.

Disciplines

Legal Writing and Research | Transportation Law

Subject(s)

Applied or Integration/Application Scholarship

Publisher

Elsevier

Version

acceptedVersion

Language

eng

Copyright Holder

Authors

Format

application/PDF

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