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
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Format
application/PDF
Citation
BHUIYAN, Hanif; GOVERNATORI, Guido; MAHAJAN, Avishkar; RAKOTONIRAINY, Andry; and WONG, Meng Weng (HUANG Mingrong).
Driving-decision making of autonomous vehicle according to Queensland overtaking traffic rules. (2022). International Workshop on AI Compliance Mechanism WAICOM 2022.
Available at: https://ink.library.smu.edu.sg/cclaw/4