Related references
Note: Only part of the references are listed.
Article
Environmental Sciences
Siliang Chen et al.
Summary: Studying the characteristics and concepts of land use in ancient cities is valuable. This paper proposes an intelligent method based on geographic information systems and specific algorithms to analyze the characteristics of urban land use and their cultural significance. The method is feasible, effective, accurate, manageable, and portable. By constructing a model for acquiring and analyzing urban element areas, various operations for areas in the city plan were achieved, including area value calculation, land use structure calculation, area modulus analysis, area ratio analysis between areas, and determination of the cultural significance of numbers and ratios.
Editorial Material
Automation & Control Systems
Fei-Yue Wang et al.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2023)
Article
Computer Science, Artificial Intelligence
Siyu Teng et al.
Summary: Intelligent vehicles (IVs) have received global attention for their increased convenience, safety advantages, and potential commercial value. Despite the prediction of commercial deployment by 2025, the implementation of IVs remains limited to small-scale validation, requiring precise tracking controllers and motion planners. This article reviews the state-of-the-art motion planning methods for IVs, including pipeline planning and end-to-end planning methods. It discusses the selection, expansion, and optimization operations in pipeline methods, as well as the training approaches and validation scenarios for driving tasks in end-to-end methods. Experimental platforms are reviewed to assist readers in choosing suitable training and validation strategies. A side-by-side comparison of the methods is provided to highlight their strengths and limitations, aiding system-level design choices. Current challenges and future perspectives are also discussed in this survey.
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
(2023)
Article
Computer Science, Artificial Intelligence
Fei-Yue Wang et al.
Summary: This article discusses the impact and significance of the autonomous science movement and the role and potential uses of intelligent technology in DAO-based decentralized science organizations. It also explores the potential contributions of DeSci to multidisciplinary studies and its relationship with social movement organizations and cyber movement organizations. The article addresses issues on DeSci to current professional communities and reviews the effort for the framework and process of DAO-based DeSci.
IEEE INTELLIGENT SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Chen Zhao et al.
Summary: This article provides an overview of parallel transportation management and control, discussing its principles, applications, challenges, and emerging opportunities. Additionally, it proposes a transportation foundation model based on parallel learning and federated intelligence as a potential path for future development.
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE
(2022)
Article
Computer Science, Information Systems
Xingyuan Dai et al.
Summary: Traffic signal control is shifting towards proactive control, requiring an effective prediction model for controllers. This paper proposes a learning-based traffic world model that describes traffic states in image form and generates planning data for control policy optimization. Experimental results show that the model provides accurate prediction and outperforms baseline methods in optimized control policy.
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Dongpu Cao et al.
Summary: This is the brief report of the first IEEE Distributed/Decentralized Hybrid Workshop on Future Directions of Intelligent Vehicles. The workshop addressed various issues related to intelligent vehicles and potential topics for future research and development.
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
(2022)
Article
Engineering, Electrical & Electronic
Can Zhao et al.
Summary: This study proposes a negotiation-based lane-changing strategy that balances safety and efficiency, which significantly improves the success rate of lane changing compared to traditional safety methods.
IET INTELLIGENT TRANSPORT SYSTEMS
(2021)
Article
Computer Science, Cybernetics
Ying Tang et al.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2020)
Article
Information Science & Library Science
Susan Ariel Aaronson
DIGITAL POLICY REGULATION AND GOVERNANCE
(2019)
Article
Computer Science, Cybernetics
Shuai Wang et al.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2018)
Article
Computer Science, Cybernetics
Jun Jason Zhang et al.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2018)
Article
Economics
Paul Collier et al.
OXFORD REVIEW OF ECONOMIC POLICY
(2016)
Article
Area Studies
Beibei Tang
Article
Environmental Sciences
Marjana Šijanec Zavrl et al.
Article
Law
Elizabeth Brown
LAW & SOCIETY REVIEW
(2010)
Article
History
AJ Steinhoff
JOURNAL OF URBAN HISTORY
(2004)
Article
Ecology
I Douglas et al.
ECOLOGICAL ECONOMICS
(2002)
