INTR Seminar: Modeling and Analysis of Rail and Urban Transit Systems

10:00am - 11:00am
Zoom ID: 947 0289 8716 Passcode: 178970

ABSTRACT

Rail and urban transit systems often serve a large number of passengers on a daily basis and play an important role in supporting economic activities. This presentation will discuss how to utilize modeling and data analysis tools to improve our understanding and performance of rail or urban transit systems. In particular, this presentation will first discus data mining and modeling techniques for quantifying mobility patterns and demand prediction in rail/transit systems. Then, given certain levels of demand information, pricing and service network design problems in rail/transit systems will be presented. A few examples on game-theoretical models and network design models for passenger-freight integrated transit/rail system will be illustrated. In addition, several empirical studies that examine the impacts of rail development on accessibility, economy and equity will be discussed, where the joint effect of rail development and megalopolis policy will also be covered. In summary, this presentation illustrates with examples how modeling and analysis tools can be applied to rail and urban transit systems for better policy and decision making.

讲者/ 表演者:
Dr. Wei Liu

 

BIOGRAPHY

Dr. Wei Liu is currently a Senior Lecturer 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). Dr. Liu is a recipient of the Discovery Early Career Researcher Award from the Australian Research Council. He leads an interdisciplinary research group across schools of civil engineering, computer science, and aviation. Currently, his research group mainly works in transport system modelling and optimization; data-driven decision analytics; and transport economics. Dr. Liu has co-authored 44 peer-reviewed journal publications and 6 highly competitive computer science conference publications. He was also a winner of the European Transport Innovation Challenge 2017 under European Commission.

语言
英文
适合对象
教职员
研究生
本科生
主办单位
Systems Hub, HKUST(GZ)
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