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2019

PAST Event

Other activities 2019

Autonomous Driving, Future Transport and the Simulation Studies

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14 March 2019 (Thursday)

DATE:

speaker:

Professor Jianping Wu

18:30 - 19:30

Room 6-12B, Haking Wong Building, The University of Hong Kong

TIME:

VENUE:

School of Civil Engineering, Tsinghua University, China

Director of Tsinghua University - University of Cambridge - Massachusetts Institute of Technology

Center for Future Transport Research

ABSTRACT:

According to McKinsey's 2017 forecast, in the next five years, SAE 4-class autonomous vehicles may appear, and it takes about 10 years to achieve SAE 5-level fully automatic driving. In the era of autonomous driving full implementation, our roads may no longer be congested, our roads may be much safer than today, and people's lifestyles and travel behaviors will change dramatically. However, on the road to autonomous driving and future transport system, we will face many challenges. One of the key challenges is that from all human driving traffic system to all autonomous driving system there is a long period time when the roads will have mixed traffic of human driving

and autonomous driving. How do autonomous driving vehicles interact with human driving vehicles to ensure a safe and efficient transport system? How do our road systems and transportation systems change to accommodate these changes? Many of these issues will need extensive research and investigation, and microscopic traffic simulation has shown as a powerful tool for such studies.

ABOUT THE SPEAKER:

Jianping Wu, PhD and Professor in the School of Civil Engineering at Tsinghua University, China, Director of Tsinghua University - University of Cambridge - Massachusetts Institute of Technology Center for Future Transport Research, the "Cheung Kong Scholar" Professor, and the National “Thousand Talents” Expert. Main research interests: i) Smart city and smart transport, ii) Traffic modeling and simulation, and iii) Sustainable transport system. He has been the main investigator for over 50 research projects and authored and co-authored over 300 papers in international journals and conferences. Other main activities include Member of WFEO (World Federation of Engineering Organizations) Environment and Engineering Committee, Fellow of IET (Institute of Engineering and Technology, the UK), Associate Editor to IET ITS Journal, Executive Director of China Association of City Studies, Executive Director of China Association of Simulation, Smart Airport Advisor to Civil Aviation Administration of Ministry of Transport, China, and Transport Adviser to Beijing, Hangzhou, Nanning and Haikou municipal governments.

14  MAR 2019

past Event

Other activities 2019

Travel Modeling under Emerging Communications-and-Mobility Technologies

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DATE:

21 MAR 2019 (THURSDAY)

speaker:

Professor Yupo Chan

TIME:

18:00 - 19:00

Department of System Engineering, University of Arkansas at Little Rock, USA

VENUE:

Room 6-12B, Haking Wong Building, HKU

Jointly Organized by:

Department of Civil Engineering &

Institute of Transport Studies

ABSTRACT:

In recent years, one has witnessed rapid advances in communications and mobility technologies. These include breakthroughs in information and communications technology (ICT) on the one hand, and connected and automated vehicles (CAVs) on the other. We will review and track the evolution of these advances. Most importantly, we wish to map out the corresponding implications for travel modeling-and-simulation. The discussions will be carried out in two book chapters. The Part- I chapter will paint a plausible projection of how the travel modeling community will respond to ICT and CAVs as we see it today. The projection is based on existing data and observations, thus lending some credibility to the conjecture. In contrast to the Part-I chapter which takes the short-term view, the Part-II chapter is much more speculative, as we dive into the unknowns of the future. The unknowns pertain particularly to the alternate future scenarios and how stakeholders respond under these scenarios, representing the most tenuous aspect of analysis. Aimed at stimulating more thoughtful discussions on “visioning,” this chapter offers solid guidelines to deal with what is coming and to deal with uncertainties that are yet to come.

ABOUT THE SPEAKER:

Dr. Yupo Chan received all his degrees from MIT. After 28 years of post-doctoral experience, he became the Founding Chair of the Dept. of Systems Engineering at the University of Arkansas at Little Rock. Before UA Little Rock, Yupo worked at the Air Force Institute of Technology, Washington State University, the State University of New York at Stony Brook, Pennsylvania State University, and Kates, Peat & Marwick.  He was a Congressional Fellow in the Office of Technology Assessment in Washington, DC.  Dr. Chan’s training and research include transportation systems, telecommunications, networks and combinatorial optimization, multi-criteria decision-making and spatial-temporal information.  He has published numerous books and monographs, including Location Theory and Decision Analysis; Location – Second Edition, Transportation, & Land-Use (Second Edition under preparation); Data Engineering: (co-editors J. Talburt, and T. Talley).

21 MAR 2019

recent Event

Other activities 2019

The Role of Information in Smart Transport

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DATE:

29 MAR 2019 (FRIDAY)

speaker:

Professor hai l. vu

TIME:

18:00 - 19:00

Department of Civil Engineering, Monash University, Australia

Jointly Organized by:

Department of Civil Engineering &

Institute of Transport Studies

VENUE:

G/F – JLG03, James Hsioung Lee Science Building, 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

 

29 MAR 2019

recent Event

Other activities 2019

Habit and Latent Constructs in Bicycle Demand Modelling: a combined structural equation-ordinal logit model

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DATE:

20 May 2019 (Monday)

TIME:

19:00 - 20:00

VENUE:

CPD-3.29, 3/F The Jockey Club Tower, Centennial Campus, HKU

speaker:

Juan de Dios Ortúzar

Department of Transport Engineering and Logistics, Institute in Complex Engineering Systems, BRT+ Centre of Excellence, Pontificia Universidad Católica de Chile

Organiser:

Institute of Transport Studies

ABSTRACT:

In the last 21 years, bicycle use has experienced an enormous increase in Santiago, Chile. Data from the last three large-scale mobility surveys in the metropolis (1991, 2001-2006 and 2012) has revealed an impressive 13-time increase, from less than 0.3% to 1.87% and 4%, respectively, in this period. Notwithstanding, current figures are estimated to be higher and this research attempted to uncover the triggers for this increase in demand, and to examine in which form latent constructs, such as habit and risk aversion, influence the decision to travel by bike.

 

Two specially designed surveys were used. In the first, a random sample of 1432 individuals were asked about the main features of their daily trips to work or study, and whether they would be prepared to make that trip by bicycle; this question had the following responses available: No, Maybe/Depends and Yes. Non-bike users who selected one of the last two answers (812 individuals), were asked to participate in the second, a stated choice (SC) survey, with their current mode and bike as alternatives, considering the following level-of-service attributes: travel time, travel cost, walking and waiting time, type of bike infrastructure (cycleways and parking). In addition, respondents were requested to answer a set of specially designed psychometric indicators related with habit (current mode) and user perceptions (pro-environment; aversion to risk) towards bicycle use.

 

Data from the first survey was used to estimate a combined structural equation-ordinal logit model, where the utility function includes level-of-service attributes, socioeconomic characteristics, built environment attributes and three latent variables: habit, perception of insecurity when using a bike and a pro-environment (green) attitude. The model was applied to data from the 2012 mobility survey to estimate the proportion of individuals who could be willing to change to bike.

 

Data from the second survey will be used to estimate a mixed logit hybrid choice model including the above latent variables. We will also explore the possibility of estimating a joint model with both datasets.

ABOUT THE SPEAKER:

Juan de Dios Ortúzar got his PhD from Leeds University in 1980, became Full Professor at Pontificia Universidad Católica de Chile in 1986 and Emeritus in 2017. He received a Doctor Honoris Causa (Universidad de Cantabria, Spain) in 2018, the Life Achievement Award (International Association for Travel Behaviour Research) in 2012 and the Humboldt Research Award (Alexander von Humboldt Foundation) in 2010. Prof. Ortúzar pioneered the development of discrete choice modelling techniques and their application to determine willingness-to-pay for reducing externalities (accidents, noise and pollution). The valuation methodologies developed with his research team have been applied in Australia, Colombia, Germany, Norway and Spain.

 

He has formed several generations of professionals and specialists (including 13 PhD and 45 MSc) with a profound service vocation, who work in academia, government and professional practice in Chile, Latin America and Europe. He has published over 180 papers in archival journals and book chapters. Co-author of Modelling Transport, a book published by Wiley reflecting the state-of-practice in this discipline, which has sold over 20,000 copies and is now in its fourth edition. He also edited four international books and has two further books in Spanish dealing with travel demand models and econometrics of discrete choice. Co-author of Micro-GUTS, a simulation game to train transport planners, which is used by more than 50 academic institutions around the world. Finally, he is currently Co-Editor in Chief of Transportation Research A and member of the editorial board of several international journals.

20 MAY 2019