報(bào)告題目:Closing the Macro-Micro Loop: Control of Urban Mobility Systems
報(bào)告時(shí)間:2025年11月11號(星期二)上午10:00開始
報(bào)告地點(diǎn):中南大學(xué)瀟湘校區(qū)(新校區(qū))信息樓216會議室
報(bào)告人:魚歡(助理教授),香港科技大學(xué)(廣州).
報(bào)告簡介:
Modern urban mobility systems show complex multi-scale dynamics, with macro traffic flow and micro vehicle behaviors interacting to affect congestion, efficiency, and safety. Emerging technologies (autonomous driving, wireless communication, AI) reshape urban mobility in infrastructure management and CAV design. This talk explores using control theory to bridge macro-micro loops for system optimization. It will start with infrastructure-based traffic control. Then, it will discuss how CAVs enable fine-grained micro-level sensing and control. Compared to human-driven vehicles, CAVs’ advanced perception/control stabilize traffic and ensure safety, focusing on safety-critical designs with control barrier functions for mixed-autonomy collision avoidance. The talk also highlights physics-informed and neural operator learning to merge theory and data-driven adaptability for next-generation mobility systems.
報(bào)告人簡介:
Dr. Huan Yu is an Assistant Professor at the Hong Kong University of Science and Technology (Guangzhou), jointly appointed with the Intelligent Transportation and Robotics & Autonomous Systems Thrusts. She received the B.Sc. degree from Northwestern Polytechnical University, and the M.Sc./Ph.D. degrees in mechanical and aerospace engineering from the University of California (UC), San Diego, with visiting scholar stints at UC Berkeley and MIT. Her research integrates control theory, transportation science, and machine learning, with applications for urban mobility systems ranging from CAV and emerging low-altitude air transportation systems.
魚歡博士,香港科技大學(xué)(廣州)智能交通學(xué)域和機(jī)器人與自主系統(tǒng)學(xué)域聯(lián)聘助理教授, 博士生導(dǎo)師。她博士畢業(yè)于加州大學(xué)圣地亞哥分校,機(jī)械與航空航天工程專業(yè),曾分別在麻省理工學(xué)院土木及環(huán)境工程系和加州大學(xué)伯克利分校智能交通研究中心擔(dān)任訪問學(xué)者。魚歡博士已在控制與交通領(lǐng)域的權(quán)威國際期刊和會議發(fā)表論文50余篇, 交通控制專著1本,單篇引用百余次。目前擔(dān)任IFAC自適應(yīng)與學(xué)習(xí)系統(tǒng),IEEE控制系統(tǒng)智慧城市,分布式參數(shù)系統(tǒng)學(xué)術(shù)委員會成員,長期受邀參與Automatica, IEEE Transaction on Automatic Control, Transportation Research Part B/C 等權(quán)威期刊審稿工作。魚博士主要從事控制理論、機(jī)器學(xué)習(xí)與交通科學(xué)領(lǐng)域的研究,聚焦城市交通系統(tǒng)的創(chuàng)新應(yīng)用。她領(lǐng)導(dǎo)的"自主交通系統(tǒng)實(shí)驗(yàn)室"致力于攻克網(wǎng)聯(lián)自動駕駛汽車、智能交通控制、人機(jī)協(xié)同控制及新興低空交通等前沿課題。