报告人及单位：杨波 研究员（新加坡南洋理工大学&AStar研究所）
报告时间：2018年5月8号下午3:00
报告地点：物理学院LE523
邀请人：胡自翔
报告内容简介:The dynamic part of the urban system, consisting of various types of transportation modes and commuters interacting in highly non-trivial ways, is a typical many-body system with both complex and universal behaviours. In this talk, I will present a few approaches in analysing and understanding such complex systems from quantitative, physical points of view, focusing on both the microscopic aspects and emergent phenomena arising from non-linear interactions between different components. In the first example, I discuss about the spatiotemporal dynamics of the traffic flow and the emergence of traffic congestions. In the second example, I discuss about traffic flow management near road intersections in a decentralised way without the use of traffic lights. For the third example I discuss about the dynamics of the taxi systems with and without ride-sharing. I will introduce some concepts about non-equilibrium phases in driven many-body systems, as well as various techniques including modern machine learning and artificial intelligence for the optimisation and efficient management of the urban transportation system.
报告人简介：杨波：2007年获得斯坦福大学物理和数学双学士学位，2013年普林斯顿大学物理系获博士学位，博士导师为著名物理学家，2016年诺贝尔物理学奖获得者F.D. M. Haldane教授。目前就职于新加A*STAR高性能计算研究中心和南洋理工大学物理系, 从事强关联凝聚态物理，非线性动力学，城市交通网络等相关研究，在PRL，PRB，PRE等刊物发表论文十余篇，其中PRL 4篇，获得普林斯顿大学Joseph Henry Prize,交通网络Best Paper Award 2016等奖励。
