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Doctor Liu Wei's Lecture Notice

Publish Date: 2019/09/10 08:41:12    Hits:

题目:Modelling and Managing Automated and Shared Mobility

主讲人:刘威博士,澳大利亚新南威尔士大学

时间:2019年9月11日(周三)下午4:30-6:00  

地点:新主楼A716

摘要:This presentation will talk about some recent advances in modeling and managing automated and shared mobility. We envision that autonomous vehicles will be gradually adopted in the future. Due to the adoption of autonomous vehicles (AVs), travel behaviours, traffic patterns and intersection management may change significantly. For example, with AVs, walking from parking spaces to the work location may no longer be needed. Instead, AVs will drop off the commuters at the workplace and then drive themselves to the parking spaces. This presentation will highlight the potential changes due to adoption of AVs and show how we can model them. This presentation will also briefly introduce some recent studies in shared transport, including ride/parking/car sharing and bundled transport sharing services.

主讲人简介:Dr Wei Liu is an Assistant Professor in Transport Engineering jointly appointed by the School of Computer Science and Engineering and the School of Civil and Environmental Engineering at the University of New South Wales (UNSW) Sydney. Prior to his position at UNSW, he was an Assistant Professor at University of Glasgow, UK, and was a Postdoctoral Researcher at EcolePolytechniqueFederale de Lausanne (EPFL), Switzerland. Dr. Liu received his Ph.D. degree in Transport Engineering from the Hong Kong University of Science and Technology in 2014, and his B.Eng. degree in Civil Engineering and B.A. degree in Law both from Tsinghua University, China, in

2010. Dr. Liu mainly works in transport system modelling and optimization, transport economics, large-scale traffic modelling and simulation, and urban data analytics. He has published more than 60 refereed journal/conference papers in the field of transport and computer science, including more than 20 papers in the prestigious Transportation Research Series. He was a winner of the European Transport Innovation Challenge 2017, and has received a Best Paper Award from the International Transportation Economics Association (ITEA) for young scholars in 2015.