Conference Program
Final Program
The TRISTAN XII program is available here:
TRISTAN2025_final_program.pdf (0.2MB)
Special Program on Sunday Afternoon
We will host three Keynote sessions on Sunday afternoon in succession, followed by a Welcome Party. We hope you can join us for an engaging start to the conference and meaningful networking opportunities.
Weekday Sessions
From Monday to Friday, there will be three parallel sessions running from morning to evening, featuring a wide variety of presentations. We are also planning some social activities!
Arrive Early Recommendation
Given the updated start on Sunday, we highly recommend booking your travel to arrive in Okinawa by Saturday. We encourage you to adjust your plans to fully participate in all Sunday activities.
Keynote Speakers
Dr. Karen Smilowitz
Professor at Northwestern University, USA
“Combinatorial choices” by Dr. Michel Bierlaire
Professor at École Polytechnique Fédérale de Lausanne, Switzerland
Joint work with Frédéric Meunier and Prunelle Vogler
Traditional discrete choice models are grounded in the assumption that decision-makers solve a continuous optimization problem, with econometric formulations derived from its first-order optimality conditions. However, many real-world decisions involve selecting combinations of alternatives—such as planning a sequence of activities—rendering the choice inherently combinatorial. In such settings, the underlying decision problem becomes a combinatorial optimization task, for which standard optimality conditions do not apply. This lecture introduces the framework of combinatorial choice, with a focus on its relevance for modeling the activity schedules of travelers in the context of travel demand forecasting.
“Participatory Traffic Control: Leveraging Connected and Automated Vehicles for Enhanced Network Efficiency” by Dr. Yafeng Yin
Professor at University of Michigan, USA
Participatory traffic control is an emerging paradigm that envisions vehicles within the traffic stream serving as active control actuators to enhance the performance of traffic networks. With rapid advances in vehicle connectivity and automation, travelers are increasingly likely to relinquish personal control over certain travel decisions. This shift enables the development of a participatory traffic control framework, where a subset of connected and automated vehicles (CAVs) function as “traffic demand distributors.” By coordinating their departure times and route choices, these CAVs can influence the travel behavior of others, thereby improving overall system efficiency. This talk presents methods for enabling CAVs to stabilize day-to-day traffic dynamics and reduce congestion. It also explores the design of incentive mechanisms to encourage CAVs to participate as control agents within the broader traffic system.