Liability design for autonomous vehicles and human-driven vehicles: A hierarchical game-theoretic approach
Autonomous vehicles (AVs) are inevitably entering our lives with potential benefits for
improved traffic safety, mobility, and accessibility. However, AVs' benefits also introduce a …
improved traffic safety, mobility, and accessibility. However, AVs' benefits also introduce a …
Evaluation of responsibility-sensitive safety (rss) model based on human-in-the-loop driving simulation
Safety is an important challenge in the development of automated vehicles (AVs). To help
with the challenge of achieving higher safety in the decision making of AVs, Intel and …
with the challenge of achieving higher safety in the decision making of AVs, Intel and …
Modelling ethical algorithms in autonomous vehicles using crash data
P Robinson, L Sun, H Furey, R Jenkins… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
In this paper we provide a proof of principle of a new method for addressing the ethics of
autonomous vehicles (AVs), the Data-Theories Method, in which vehicle crash data is …
autonomous vehicles (AVs), the Data-Theories Method, in which vehicle crash data is …
Ontology-based driving scene modeling, situation assessment and decision making for autonomous vehicles
L Huang, H Liang, B Yu, B Li… - 2019 4th Asia-Pacific …, 2019 - ieeexplore.ieee.org
In this paper, an ontology-based driving scene modeling, situation assessment and decision
making method for autonomous vehicles in urban environment is proposed. Firstly, an …
making method for autonomous vehicles in urban environment is proposed. Firstly, an …
Applying ethical theories to the decision-making of self-driving vehicles: A systematic review and integration of the literature
Self-driving vehicles (SDVs)–above the SAE automation level 4–are designed to operate
without human intervention [1]. Due to the expected advantages attributed to SDVs, such as …
without human intervention [1]. Due to the expected advantages attributed to SDVs, such as …
Comprehensive evaluation of freeway driving risks based on fuzzy logic
L Xie, J Zhang, R Cheng - Sustainability, 2023 - mdpi.com
The quantitative evaluation of driving risk is a crucial prerequisite for intelligent vehicle
accident warning, and it is necessary to predict it comprehensively and accurately …
accident warning, and it is necessary to predict it comprehensively and accurately …
Human-like lane-change decision making for automated driving with a game theoretic approach
With the consideration of personalized driving for automated vehicles (AVs), this paper
presents a human-like decision making framework for AVs. In the modelling process, the …
presents a human-like decision making framework for AVs. In the modelling process, the …
Driver's intention identification and risk evaluation at intersections in the Internet of vehicles
In recent years, the rapid improvement of sensor and wireless communication technologies
powerfully impels the development of advanced cooperative driving systems, generating the …
powerfully impels the development of advanced cooperative driving systems, generating the …
Investigating safety and liability of autonomous vehicles: Bayesian random parameter ordered probit model analysis
Purpose-This study aims to investigate the safety and liability of autonomous vehicles (AVs),
and identify the contributing factors quantitatively so as to provide potential insights on safety …
and identify the contributing factors quantitatively so as to provide potential insights on safety …
A review on key challenges in intelligent vehicles: Safety and driver‐oriented features
The huge advantages of intelligent vehicles (IVs) in improving road safety and operating
efficiency have become a research focus in the industry. IVs have made significant progress …
efficiency have become a research focus in the industry. IVs have made significant progress …