A tentative conference programme is given below.
The full programme can be downloaded here
The abstract booklet can be downloaded here
VIRTUAL POSTERS CAN BE VIEWED HERE here
|Day 1 (15 Oct 2022)
Title: Vehicular and Pedestrian Traffic Flow Dynamics at Different Resolutions and Travel Time Theory
Abstract: The talk will provide the mathematical foundations of the models used for vehicular and pedestrian traffic flows. It will present the models at different stratified levels and aggregations: microscopic, mesoscopic, as well as macroscopic models. It will show the synergy between these various aspects of modeling. The modeling will be presented at the level of a single link as well as at the network level. Various control problems will be discussed using these models at microscopic as well as macroscopic levels. Travel time theory as has been developed by the speaker will be presented in the macroscopic framework which is developed on top of this framework, and then control problems utilizing this theory will also be presented.
Speakers's bio: Prof. Pushkin Kachroo is the Lincy chaired Professor in the Department of Electrical and Computer Engineering at University of Nevada Las Vegas (UNLV). He obtained his Ph.D. in Mechanical Engineering from University of California at Berkeley performing research in Vehicle Control, and obtained another Ph.D. in Mathematics from Virginia Tech in the area of hyperbolic systems of partial differential equations with applications to Traffic Control and Evacuation. He is finishing his Ph.D. in Physics from UNLV on the topic of Quantum Logic and Computation. He has been a professor at Virginia Tech, and a visiting Professor at University of California at Berkeley, Indian Institute of Technology (IIT) Bombay, and IIT Jammu. His M.S. degrees are from Rice University, Virginia Tech, and UNLV, and his B.Tech. from IIT Bombay in Civil Engineering. He has published more than 200 journal and conference papers, including eleven books and four collected volumes. You can find more details at: http://pushkin.faculty.unlv.edu//
|Day 2 (16 Oct 2022)
Title: Travel Behaviour and Demand Modelling in the Era of Deep Learning: Past, Present and Future
Abstract: Since individual-level daily activity tours manifest into mobility patterns, activity-based models are dominantly used for travel demand forecasting. These models simulate and forecast city-level mobility patterns by generating a synthetic population of the city and the daily activity plans of synthetic residents. Econometrics/theory-driven travel behaviour models and household travel surveys have been the main ingredients of activity-based model. This talk will discuss how the emergence of passively collected mobility data (e.g., transit smart card data and cellular trace data) and innovations in deep learning bring new opportunities to improve our understanding of travel behaviour and the abilities of ABM to precisely forecast long-term future travel demand. The challenges in leveraging the advantages of these datasets and statistical methods will be discussed while laying out the research agenda for activity-based models.
Speakers's bio: Dr Prateek Bansal is a Presidential Young (Assistant) Professor in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS). He focuses on creating methodological innovations at the intersection of Bayesian Machine Learning, Econometrics, and Computational Psychology to address challenging questions related to mobility behavior and the adoption of emerging technologies at an individual level and an urban scale. Dr Bansal leads the Neurophysiology and Behavioural Science Lab at NUS and is actively involved in developing city-level agent-based models to understand system-level behaviour as a co-principal investigator at the Future Cities Laboratory, Singapore. His research group develops new methodological knowledge by assimilating concepts from multiple sub-disciplines of social science. His work has appeared in several inter-disciplinary journals, such as Transportation Research Part B: Methodological, Journal of the Royal Statistical Society: Series A, Energy Economics, and Analytical Methods in Accident Research.
|Day 3 (17 Oct 2022)
Title: Pedestrian dynamics: what changed during the pandemic?
Abstract: Pedestrian dynamics has the interest of researchers from different disciplines, and it has advanced significantly over the years. During the recent pandemic, these pedestrian dynamics changed, not only because of the variety of governmental measures (e.g., keep a distance to others), but also because of the changes in the walking preferences of the pedestrians themselves. In this talk, the effect of the pandemic on both the supply and the demand side on pedestrian dynamics will be addressed. Moreover, both indoor situations (restaurant, university building) and outdoor situations (train station, bus platform) will be covered. These observed changes will be used to initiate a discussion about how pedestrian management could benefit from these findings.
Speakers's bio: Dr. Winnie Daamen is an associate professor in the chair of Traffic Operations and Management of the Department of Transport & Planning, in the faculty of Civil Engineering and Geosciences, TU Delft. She works in the fields of active mode research, data collection and experimental research for traffic and transportation in general. She did her PhD research on 'Modelling passenger flows in public transfer facilities', covering the different types of pedestrian behaviour in transport facilities, such as walking, route choice, activity choice, and activity location choice. In the following years, Daamen continued her research in pedestrian behaviour, modelling and management. This research has been based on the application of new data collection techniques both in the form of laboratory experiments and real-time monitoring. In the recent years, she extended her field of reasearch to the design of heterogeneous sensor networks, and the analysis of behaviour of cyclists.
|Day 3 (17 Oct 2022 - Tentative)
Title: Mpemba effect in driven granular gases
Abstract: Mpemba effect is a counter-intuitive relaxation phenomenon where a hotter system relaxes to equilibrium faster than a cooler system, when quenched to low temperatures. The effect was first shown for water. However, the effect is more general and can be studied in the context of relaxation dynamics of systems far from equilibrium, an example being driven granular systems. In this talk, I will describe the criterion for observing the Mpemba effect in driven granular systems, as well as point out some issues in the definition of the effect. The results are based on kinetic theory calculations and event-driven molecular dynamics simulations.
Speakers's bio: R. Rajesh is a faculty at the Institute of Mathematical Sciences, Chennai. His research interests include granular systems, phase transitions, polymer physics, non-equilibrium statistical mechanics, and biomechanics.