29 MAR 2019 (FRI) | 18:00 - 19:00
ROOM 6-32C, HAKING WONG BUILDING, THE UNIVERSITY OF HONG KONG
SPEAKER:
PROFESSOR HAI L. VU
Department of Civil Engineering, Monash University, Australia
JOINTLY ORGANIZED BY:
Department of Civil Engineering, The University of Hong Kong
Institute of Transport Studies, The University of Hong Kong
ABSTRACT:
Intelligent Transport System (ITS) or Smart Transport is an emerging solution underpinned by the advancements of information and communication technologies to address the challenges posed by the rapid grow of human population and their mobility needs in an increasing number of mega cities around the globe. In the future, ITS will evolve as a system-based demand-response solution that provides mobility as a service while optimize the entire transportation system based on its ability to access and analyse the vast amount of data and information in real-time. Such a solution relies on the smart use of information by both the user and mobility provider, and we expect that the real-time information will have a positive and crucial role in this approach. In this talk, I will explore the role of the real-time information in the context of the user’s route guidance and highlight some insights in regard to the value of this information in the future connected world.
ABOUT THE SPEAKER:
Hai L. Vu received the B.Sc./M.Sc. and Ph.D. degrees in electrical engineering from the Technical University of Budapest, Hungary, in 1994 and 1999, respectively. After five years at the University of Melbourne, and eleven years at Swinburne University of Technology, he joined Monash University (Melbourne, Australia) in 2016 where he currently is Professor of Intelligent Transport System (ITS) in the Department of Civil Engineering. He is a recipient of the 2012 prestigious research awards, the Australian Research Council (ARC) Future Fellowship as well as the Victoria Fellowship Award for his research and leadership in ITS. Prof Vu has authored or coauthored over 180 scientific journals and conference papers where his research interests include modelling, performance analysis and design of complex networks, stochastic optimization and control with applications to connected autonomous vehicles and intelligent transportation. More info can be found at https://www.monash.edu/engineering/lehaivu