Invited by ITS Fellow Dr. Jintao Ke, a delegation of 2 teachers and 14 research students from the College of Transportation Engineering, Tongji University visited the Department of Civil Engineering of HKU on Oct 16, 2024. In the 2-hour academic sharing session, Yijun Liu (Tongji University), Jian Liang (HKU), Hao Zhong (Tongji University), Taijie Chen (HKU), Weihan Bi (Tongji University), and Jiguang Wang (HKU) presented their studies. Each presentation was followed by a Q&A session for in-depth discussions about the research. Dr. Jintao Ke was presented a souvenir from the delegation.
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Cognitive Hierarchy in Day-to-day Network Flow Dynamics
Speaker:
Prof. Feng Xiao
Business School, Sichuan University, China
Date: Nov. 01, 2024 (Friday)
Time: 3:00pm – 4:00pm
Venue: Room 612B, 6/F Haking Wong Building, The University of Hong Kong
Abstract
When making route decisions, travelers may engage in a certain degree of reasoning about what the others will do in the upcoming day, rendering yesterday’s shortest routes less attractive. This phenomenon was manifested in a recent virtual experiment that mimicked travelers’ repeated daily trip-making process. Unfortunately, prevailing day-to-day traffic dynamical models failed to faithfully reproduce the collected flow evolution data therein. To this end, we propose a day-to-day traffic behavior modeling framework based on the Cognitive Hierarchy theory, in which travelers with different levels of strategic-reasoning capabilities form their own beliefs about lower-step travelers’ capabilities when choosing their routes. Two widely studied day-to-day models, the Network Tatonnement Process dynamic and the Logit dynamic, are extended into the framework and studied as examples. Calibration of the virtual experiment is performed using the extended Network Tatonnement Process dynamic, which fits the experimental data reasonably well. We show that the two extended dynamics have multiple equilibria, one of which is the classical user equilibrium. While analyzing global stability is intractable due to the presence of multiple equilibria, local stabilities near equilibria are developed analytically and verified by numerical experiments. General insights on how key parameters affect the stability of user equilibria are unveiled.
About the Speaker
Feng Xiao is currently a professor at Business School of Sichuan University, recipient of the National Science Fund for Distinguished Young Scholars, China. Dr. Xiao’s research interests include artificial intelligence algorithms and data mining, modeling and optimization of complex traffic systems, financial risk management and quantitative trading, healthcare data management, etc. He has published more than 70 papers in internationally renowned journals and conferences in the fields of management science and engineering, transportation technology and data mining, such as Transportation Science, Transportation Research Part A, B, C, D, E, IEEE TKDE, ISTTT, etc.
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Large Deployment of Connected Vehicles in Australia
Speaker:
Prof. Majid Sarvi
Melbourne School of Engineering, University of Melbourne, Australia
Date: September 6, 2024 (Friday)
Time: 11:00 am – 12:00 pm
Venue: Room 612B, 6/F Haking Wong Building, The University of Hong Kong
Abstract
Co-operative Intelligent Transport Systems (C-ITS) technology enables road users and infrastructure to communicate with each other, sharing information about road conditions, disruptions, traffic flow and safety incidents. C-ITS has been proven to have the potential to provide significant safety benefits by detecting and providing advanced warning to drivers to prevent incidents and improve efficiency of transport networks. C-ITS needs alignment amongst governments and industry for deployment to realise these benefits. We have embarked on an ambition project which involves uplifting around 30 intersections across five key corridors in Melbourne busy urban environment with the advanced sensing and communication capability to continually transmit live information about traffic and safety for road users. Deploying C-ITS at scale in a real-world environment. This will allow assessment of proposed benefits, deployment considerations and options, and provide recommendations that could support Australia’s road authorities’ adoption of C-ITS in a nationally harmonised manner.
About the Speaker
Professor Sarvi is the chair in transport engineering and the director of Transport Technology program at the University of Melbourne. He is the founder and director of the Australian Integrated Multimodal EcoSystem (AIMES). AIMES is a world first; a grid mapped with smart sensors to test emerging, multimodal connected large-scale transport technologies in a complex urban environment. Through AIMES, Prof Sarvi is bringing the transport network together, collaborating with more than 50 domestic and international partners from industry and government. AIMES’ key objective is to deliver safer, more efficient and sustainable transport solutions for all road users to enable smarter cities to thrive. Prof Sarvi has more than 25 years of professional, academic and research experience in the areas of intelligent transport systems. His research is multidisciplinary with an international outlook applying theory to combat real-world challenges. His expertise covers a range of topics, including: Artificial Intelligence in Transport, connected and automated multimodal transport systems and CITS. He has been the author/co-author of over 350 refereed publications in top transportation journals and various conference and symposia proceedings. He currently serves on the editorial board of several journals including Transportation Research Part B, Transportation Research Part C, and Transportmetrica.
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