Three Principles to Determine the Right-of-Way for AVs: Safe Interaction With Humans | |
Li, Li1; Zhao, Can1; Wang, Xiao2,3![]() ![]() ![]() | |
Source Publication | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
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ISSN | 1524-9050 |
2021-05-13 | |
Volume | 23Issue:7Pages:16 |
Corresponding Author | Wang, Fei-Yue(feiyue.wang@ia.ac.cn) |
Abstract | Autonomous vehicles (AVs) are widely believed to be good for improving transportation safety and efficiency. However, recent fatal accidents by some of their prototypes remind us that there are no operationalizable and quantitative safe driving strategies available for an AV in a wide range of situations to avoid collisions. In contrast with many recent studies that focused on ethical considerations when AVs are facing unavoidable harms, we study how to proactively prevent collisions by setting up a set of decision rules for AVs to determine the right-of-way efficiently. Notably, we summarize three essential principles for AVs designing to increase driving safety, and establish a rule-based nine-step communication-decision model to implement them. Our method is constructed by analyzing how human drivers solve potential conflicts. The decision rules are designed to be ambiguity-free and readily computable with the least communication so that human drivers and AVs could easily understand each other in terms of their behaviors and intentions of. We have demonstrated the effectiveness of our method by comparing it with some alternative approaches. |
Keyword | Vehicles Safety Accidents Sensors Prototypes Autonomous vehicles Automation Autonomous vehicles driving safety social interaction |
DOI | 10.1109/TITS.2021.3072774 |
WOS Keyword | COLLISION-AVOIDANCE ; AUTONOMOUS VEHICLES ; DECISION-MAKING ; MITIGATION ; WOULD |
Indexed By | SCI |
Language | 英语 |
Funding Project | National Key Research and Development Program of China[2018AAA0101402] ; Intel Collaborative Research Institute for Intelligent and Automated Connected Vehicles (ICRI-IACV) ; Young Elite Scientists Sponsorship Program of China Association of Science and Technology[2017QNRC001] |
Funding Organization | National Key Research and Development Program of China ; Intel Collaborative Research Institute for Intelligent and Automated Connected Vehicles (ICRI-IACV) ; Young Elite Scientists Sponsorship Program of China Association of Science and Technology |
WOS Research Area | Engineering ; Transportation |
WOS Subject | Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology |
WOS ID | WOS:000732348500001 |
Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
Sub direction classification | 人工智能+交通 |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.ia.ac.cn/handle/173211/46846 |
Collection | 复杂系统管理与控制国家重点实验室_平行智能技术与系统团队 |
Corresponding Author | Wang, Fei-Yue |
Affiliation | 1.Tsinghua Univ, Beijing Natl Res Ctr Informat Sci & Technol BNRis, Dept Automat, Beijing 100084, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Qingdao Acad Intelligent Ind, Qingdao 266000, Peoples R China 4.Tsinghua Univ, Grad Sch Shenzhen, Shenzhen 518055, Peoples R China 5.Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou 510275, Guangdong, Peoples R China 6.Xi An Jiao Tong Univ, Inst Artificial Intelligence & Robot IAIR, Xian 710049, Peoples R China |
Corresponding Author Affilication | Institute of Automation, Chinese Academy of Sciences |
Recommended Citation GB/T 7714 | Li, Li,Zhao, Can,Wang, Xiao,et al. Three Principles to Determine the Right-of-Way for AVs: Safe Interaction With Humans[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2021,23(7):16. |
APA | Li, Li.,Zhao, Can.,Wang, Xiao.,Li, Zhiheng.,Chen, Long.,...&Wang, Fei-Yue.(2021).Three Principles to Determine the Right-of-Way for AVs: Safe Interaction With Humans.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,23(7),16. |
MLA | Li, Li,et al."Three Principles to Determine the Right-of-Way for AVs: Safe Interaction With Humans".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 23.7(2021):16. |
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