Paper Review Records
All Paper Review Records
5 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
Quantitative assessment of mid-air collision probability in urban air mobility: A safety barrier-based framework for integrated operations
AuthorsJinpeng Zhang; Yan Xu; Kaiquan Cai; Victor Gordo; Gokhan Inalhan
AffiliationsSchool of Electronic Information Engineering, Beihang University, Beijing, 100191, China; Ingeniería y Economía del Transporte (INECO), Madrid, 28036, Spain; Sloane Institute, London, W1W5PF, UK
Towards fair lights: A multi-agent masked deep reinforcement learning for efficient corridor-level traffic signal control
AuthorsXiaocai Zhang; Lok Sang Chan; Neema Nassir; Majid Sarvi
AffiliationsDepartment of Infrastructure Engineering, Faculty of Engineering and Information Technology, The University of Melbourne, Melbourne, 3010, Australia
Few-shot learning for novel object detection in autonomous driving
AuthorsYifan Zhuang; Pei Liu; Hao Yang; Kai Zhang; Yinhai Wang; Ziyuan Pu
AffiliationsDepartment of Civil and Environmental Engineering, University of Washington, Seattle, 98195, USA; Intelligent Transportation Thrust, Systems Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, 511453, China; Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; School of Transportation, Southeast University, Nanjing, 211102, China
Survey of research on autonomous driving testing with large models
AuthorsSongyan Liu; Shijie Cong; Lan Yang
AffiliationsSchool of Information Engineering, Chang'an University, Xi'an, 710064, China; School of Vehicle and Mobility, Tsinghua University, Beijing, 100084, China
A systematic review of machine learning-based microscopic traffic flow models and simulations
AuthorsDavies Rowan; Haitao He; Fang Hui; Ali Yasir; Quddus Mohammed
AffiliationsDepartment of Architecture, Building and Civil Engineering, Loughborough University, Loughborough, LE11 3TU, UK; Department of Computer Science, Loughborough University, Loughborough, LE11 3TU, UK; Centre for Transport Engineering and Modeling, Department of Civil and Environmental Engineering, Imperial College London, London, SW7 2AZ, UK
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