Driving-decision making of autonomous vehicle according to Queensland overtaking traffic rules

• Main Authors: BHUIYAN, Hanif, GOVERNATORI, Guido, MAHAJAN, Avishkar, RAKOTONIRAINY, Andry, WONG, Meng Weng (HUANG Mingrong)
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Autonomous Vehicle; Driving-Decision; Overtaking; Defeasible Deontic Logic.; Legal Writing and Research; Transportation Law
• Online Access: https://ink.library.smu.edu.sg/cclaw/4; https://ink.library.smu.edu.sg/context/cclaw/article/1003/viewcontent/6._Driving_Decision_Making_of_Autonomous_Vehicle_according_to_Queensland_Overtaking_Traffic_Rules.pdf
• Institution: Singapore Management University

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.