21st Summer Course (Behavior Modeling in Transportation Networks)

The Summer Course was held on September 23^rd to 25^th, 2022 for both online and on-site participants at the University of Tokyo Hongo Campus. Students and researchers from different universities and organizations gathered to join the event. The 3-day course provided a vast knowledge of different behavior modeling techniques for transportation networks and insights from keynote speakers, professors, and researchers.

Laboratory Introduction

Short Tour to Homeikan for International Students

3-Day Program

DAY 1

8:30 – 8:40   Opening Ceremony

8:40 – 10:00 Deterministic/Stochastic Demand Optimization for Urban Logistics Prof. Teodor Gabriel Crainic (Université de Montréal)

10:00 – 11:00 Coding Tutorial for Beginners

11:00 – 12:00 Feedback for Group Work (E & J)

12:00-13:30 Lunch

13:30-14:00 Professor Jana
14:00-14:30 Professor Parady
14:30-14:45 Break
14:45-15:15 Professor Chikaraishi
15:15-15:45 Professor Shafique
15:45-16:15 Professor Yaginuma
16:15-16:30 Break
16:30-17:00 Professor Oyama

17:10 – 18:30 Laboratory Introduction

DAY 2

9:00 – 10:30 Keynote Lecture (lecture in Japanese)
10:30 – 11:00 Break

11:00 – 12:00 Keynote Lecture (lecture in Japanese)

12:00-13:00 Lunch

13:00-14:30 #1 BinN Research Seminar: Latest Optimization Theory and Network Problems

1. Meta-reinforcement learning for multi-modal multi-region coordinated control,
    Takao Dantsuji (Kanazawa University)
2. A structured programming method for matching heterogeneous demand in mixed freight and
    passenger network, Fuga Mayuzumi (UTokyo)
3. Optimization of inventory transportation strategy, considering the procurement of goods by
    the affected population, Riki Kawase (Tokyo Institute of Technology)

14:30-15:00 Break + Transfer

15:00-18:00 Group work and feedback @Homeikan (edited) 

DAY 3

10:30-12:00 BinN Research Seminar 2: Can Urbanists Change Cities with Diverse Mathematics? (E)

1. Modeling and Case Study of Land Transaction Mechanism with Gale-Shapley
   Algorithm, Risa Kobayashi (UTokyo)
2. Characteristic of transport network based on the eigenvalue analysis, Hiroe
   Ando (Kumamoto University)
3. Bayesian sample selection model for dealing with non-randomly missing travel
   behavior outcomes, Hajime Watanabe (UTokyo)

12:00 – 13:00 Lunch Break
13:00 – 14:00 Keynote Lecture
14:00-15:30 Watching Presentation Videos of Groupwork
15:30-16:30 Discussion about Presentation
16:30-16:50 Comments from young researchers
16:50-17:00 Break
17:00 – 18:10 BinN Young Prize Ceremony (E & J)