全校师生：

我校定于2018年3月30日举办研究生灵犀学术殿堂——智能交通报告会，现将有关事项通知如下：

1.报告会简介

报告人：刘蓉晖英国利兹大学副教授

时间：2018年3月30日（星期五）下午15:00-17:00

地点：长安校区自动化学院楼341会议室

主题：Energy-efficient train control

内容简介：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.欢迎各学院师生前来听报告。报告会期间请关闭手机或将手机调至静音模式。

党委研究生工作部

自动化学院

2018年3月27日

报告人简介

刘蓉晖：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.