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Steering Automated, Shared, Electric Vehicles to a Better Future



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Email to hkits@hku.hk

Confirmation emails with ZOOM link will be sent to participants.


SPEAKER:

Prof. Daniel Sperling NAE, University of California, Davis


DATE & TIME: 27 September 2022 (Tuesday), 10:00 – 11:00 (Hong Kong Time)


ORGANISED BY:

Institute of Transport Studies, The University of Hong Kong


ABSTRACT:

Passenger transportation has seen little systems innovation for half a century. That is now changing. The ubiquity of smart phones is enabling the commercialization of a range of new mobility services, rapid advances in battery technology are enabling electrification of vehicles; and rapid advances in digital technologies is enabling automation of vehicles. The challenge is to integrate these innovations and direct them toward the public interest in a timely manner. Professor Sperling will investigate pathways of change for transportation, building on his research and policy experiences.


ABOUT THE SPEAKER:

Professor Daniel Sperling is Distinguished Blue Planet Prize Professor of Civil Engineering and Environmental Science and Policy, and founding Director of the Institute of Transportation Studies at the University of California, Davis (ITS-Davis). He has held the transportation seat on the California Air Resources Board since 2007 and served as Chair of the Transportation Research Board (TRB) of the National Academies in 2015-16. Among his many prizes are the 2018 Roy W. Crum award from TRB, its highest research award; and the 2013 Blue planet Prize from the Asahi Glass Foundation Prize for being “a pioneer in opening up new fields of study to create more efficient, low-carbon, and environmentally beneficial transportation systems.” He served twice as lead author for the IPCC (sharing the 2007 Nobel Peace Prize), testified 8 times to the US Congress, and has authored or co-authored over 250 technical papers and 13 books, including Three Revolutions: Steering Automated, Shared, and Electric Vehicles to a Better Future (Island Press, 2018). In 2022 he was inducted into the National Academy of Engineering.


ABOUT THE INSTITUTE OF TRANSPORT STUDIES AT THE UNIVERSITY OF HONG KONG:

The Institute of Transport Studies, HKU was established in 2003. It is a university centre that seeks to identify research programmes as mission-oriented activities and not by traditional academic disciplines alone. As an exemplary interdisciplinary research group, the Institute is having 29 Institute Fellows, all being academic staff at the Professional level, from the Faculty of Architecture, Faculty of Business and Economics, Faculty of Engineering, Faculty of Law, Faculty of Social Sciences, and Li Ka Shing Faculty of Medicine. Apart from hosting the Distinguished Transport Lecture series, international workshops and other seminars, the Institute has co-organized the International Conference on Smart Mobility and Logistics in Future Cities with the Chartered Institute of Transport and Logistics in Hong Kong and the Transport Department of the Hong Kong Special Administrative Region.

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Ride-Sourcing Systems & Multiple-Objective Online Ride Matching



SPEAKER:

Dr Hai WANG Singapore Management University, Singapore


DATE & TIME:

June 28 (Tuesday) 11:30-12:30 HKT


VENUE:

Room 632, 6/F, Haking Wong Building, The University of Hong Kong


ZOOM:

https://hku.zoom.us/j/97369816828 (Meeting ID: 973 6981 6828)


ABSTRACT:

We propose a general framework to study the on-demand shared ride-sourcing transportation systems and summarize the relevant research problems in four areas, namely, demand, supply, platform operation, and system problems. We then focus on the online matching problem, in which the platforms match passengers and drivers in real-time without observing future information, considering multiple objectives such as pick-up time, platform revenue, and service quality. Given stationary and non-stationary decision scenarios, we develop efficient online matching policies that adaptively balances the trade-offs between multiple objectives in a dynamic setting and provide theoretical performance guarantees for the policy. Through numerical experiments and industrial testing using real data from a ride-sourcing platform, we demonstrate that our approach can arrive at a delicate balance among multiple objectives and bring value to all the stakeholders in the ride-sourcing ecosystem.


ABOUT THE SPEAKER:

Dr. Wang is an Associate Professor in the School of Computing and Information Systems at Singapore Management University and a visiting faculty at the Heinz College of Information Systems and Public Policy at Carnegie Mellon University. He received B.S. from Tsinghua University and Ph.D. in Operations Research from MIT. His research focuses on methodologies of analytics and optimization, data-driven decision-making models, machine learning algorithms, and their applications in smart cities, transportation and logistics systems. He has published in leading journals such as Transportation Science, American Economic Review P&P, M&SOM, and Transportation Research Part B/C. He has long term collaborations with leading companies such as DiDi, Meituan, Tencent, and Upwork. He serves as Associate Editor for Transportation Science, Special Issue Guest Editor for Transportation Research Part B, Part C, and Service Science, and Editorial Board Member for Transportation Research Part E. Dr. Wang was selected as Chan Wu & Yunying Rising Star Fellow in transportation and mobility, received Lee Kong Chian Research Excellence Award, was nominated for MIT’s top graduate teaching award, and won the Excellent Teaching award for junior faculty at SMU. During his Ph.D. studies at MIT, he also served as the co-President of the MIT Chinese Students & Scholars Association and as Chair of the MIT-China Innovation and Entrepreneurship Forum.


CO-ORGANIZERS:

Department of Civil Engineering & Institute of Transport Studies, The University of Hong Kong

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The HK-Swiss Symposium on Future Cities

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