全校師生：
我校定于2018年3月30日舉辦研究生靈犀學術殿堂——智能交通報告會，現將有關事項通知如下：
1.報告會簡介
報告人：劉蓉暉英國利茲大學副教授
時間：2018年3月30日（星期五）下午15:00-17:00
地點：長安校區自動化學院樓341會議室
主題：Energy-efficient train control
內容簡介：The traditional optimal train control problem is to find the energy-efficient strategy to drive the train through a specific railway segment within a predetermined time, while maintaining specific speeds at both ends of the segment. The problem is usually formulated as an optimal control problem, and solved to provide the train drivers with detailed speed or control advice along the segment. This talk presents the latest development carried out by the railway operations research group at ITS Leeds, which proposes a novel approach to solve the complex optimal train control problems that so far cannot be perfectly tackled by the existing methods, including the optimal control of a fleet of interacting trains, and the optimal train control involving scheduling.
2.歡迎各學院師生前來聽報告。報告會期間請關閉手機或將手機調至靜音模式。
黨委研究生工作部
自動化學院
2018年3月27日
報告人簡介
劉蓉暉：Dr Ronghui Liu is an Associate Professor and the Director of International Activities at the Institute for Transport Studies (ITS), University of Leeds, UK. She received her BSc from Peking University and PhD from Cambridge University. Before joining ITS Leeds, she was a Research Fellow at University College London, and while at ITS, she was seconded to head the Transport Modelling Division at TRL, UK in 2005. She served as an Associate Editor for journal IEEE Transaction on Intelligent Transportation Systems, and Member of Editorial Board of IET Journal of Intelligent Transport. Her research areas span a number of themes in the field of transport studies: in vehicle dynamics and traffic microsimulaton model developments; in traffic control theory and algorithms; in travel behaviour and Intelligent mobility; in stochastic models and reliability analysis; in public transport operations and controls; in timetabling and schedule coordination; and in train control and railway traffic management systems. She is particularly interested in the interrelationships between these themes, and methodologies for estimation, design and evaluation of their network-wide effects.
