Univ. Tokyo BinN Studies Unit > Seminar > 2017 > This page.
The 16th Summer course
Program
We, BinN Studies Unit at The University of Tokyo, have been learning about behavior model, from basics to applications. During this summer (Oct. 2017), we are organizing a special seminar. This series of 2-3 days lectures and exercises will be an insight in Model Estimation. This annual event has been held since 2002 and this is the 16th time. People from all around Japan, including from Univ. Kyoto, Univ. Nagoya, Univ. Hiroshima and etc., will be gathering in Tokyo. They major in Civil Engineering, Urban Planning ,and Architecture. Vigorous front-line researchers will be instructing you in methods of parameter estimation and probabilistic decision making model. Contents of this upcoming camp are as follows. Looking forward to seeing you in Japan this October.
1. Outstanding researchers will show you the case studies on demand estimations of location choice, route choice, and transportation mode choice used in the fields of: Civil planning, Urban planning, and Transportation planning.
2. You will learn the brand new methods of individual behavior survey like Probe Person, and think about how to apply it practically in real world such as: Redistribution of Road Usage, Tourism Planning, Renewal of City Central Area, and Marketing optimization.
3. You will have practices and presentations. Students will be divided into groups and do exercise in programming and modeling. After an extremely hard training, each group will make presentation showing how you have mastered BEHAVIOR MODEL.
4. Post-conference party will be held. Please feel free to join our party and enjoy conversations with other students and Teachers. It is interesting to share your ideas with those who have common interests. These conversations will enhance your intellectual curiosity.
Teachers List
Michel Bierlaire | Swiss Federal Institute of Technology in Lausanne (EPFL) [Keynote Speaker] | |
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Arnab Jana | IIT Mumbai | |
Toshiyuki YAMAMOTO | Nagoya University | |
Kuniaki SASAKI | Yamanashi University | |
Shinya KURAUCHI | Ehime University | |
Takamasa IRYO | Kobe University | |
Takuya MARUYAMA | Kumamoto University | |
Makoto CHIKARAISHI | Hiroshima University | |
Eiji HATO | The University of Tokyo | |
Daisuke FUKUDA | Tokyo Institute of Technology | |
Hideki YAGINUMA | Tokyo University of Science | |
Giancarlos Troncoso Parady | The University of Tokyo |
Registration
Registration is required. A representative of each team needs to send an E-mail containing the required information as follows.
1. Name (Each member of your team)
2. Your COMPANY (and Department)
3. Your Grade
4. Your Contacts
5. Your ability level of behavior model (shortly)
E-mail address: seminar [at] bin.t.u-tokyo.ac.jp
Secretary general: Issei YAMANO
(Please change [at] by @ when sending your message)
Participation dues: 2000 yen / person (Fees of post-conference drinking NOT included)
You can pan the registration fee before the start of seminar at Tokyo.
Reports from previous seminars
You can see the photos and final products of previous events.
15th seminar (2017. 9.23-25)
14th seminar (2015. 9.25-27)
13th seminar (2014. 9.27-28)
12th seminar (2013. 9.21-22)
Tentative Schedule
Date : 13-15th, October 2017
Place: Lecture Room No. 15, Engineering Bldg.#1, The University of Tokyo, Japan
10/13 (Fri) ※Mainly in English
for English speakers | ||
9:30-10:00 | Reception (in front of Lecture room No.13) | |
---|---|---|
10:00-12:00 | Lecture for PhD students and Young researchers | |
Introduction | Eiji Hato(UT) | |
Lecture 1 The theory and estimation methods of behavior model (50 minutes) | Arnab Jana(IIT Mumbai)/ Giancarlos Troncoso Parady(UT) | |
Break(10 minutes) | ||
Lecture2 Advanced model: Supervised Learning, Clustering using Sensing Data (50 minutes) | Makoto Chikaraishi(Hiroshima Univ.)/ Hideki Yaginuma(Tokyo Univ. of Science) | |
12:00-13:00 | Lunch | |
13:00-14:00 | Group Exercise | |
14:00-17:50 | Behavior in Networks Research Workshop | |
Research Presentation #1 (20 minutes) 14:00 - 14:20 Samal Sanjeewa Darmarathna | Organaized by Makoto Chikaraishi (Hiroshima Univ.) | |
Break(10 minutes) | ||
Behavior and Network Optimization Session (90 minutes) 14:30 - 15:00 Keiichiro Hayakawa 15:00 - 15:30 Qian Ge / Daisuke Fukuda 15:30 - 16:00 Takao Dantsuji | Organaized by Takamasa Iryo (Kobe Univ.) | |
Break(10 minutes) | ||
Special Research Talk (50 minutes) 16:10 - 17:00 | Prof. Michel Bierlaire (EPFL) | |
Break(10 minutes) | ||
Research Presentation #2 (40 minutes) 17:00 - 17:20 Karan Barpete 17:20-17:40 Ryuichi Shibasaki | Organaized by Daisuke Fukuda (Tokyo Tech Univ.) |
10/14 (Sat) ※Mainly in Japanese in the morning
for Japanese speakers | ||
8:30-9:00 | 受付@15号教室前 | |
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9:00-12:00 | Lecture 講義 | |
ガイダンス | 羽藤英二(東京大) | |
講義1 行動モデルの基礎と推定(75分) ・行動モデルの基礎理論 ・行動モデルの推定法・行動解析理論 | 倉内慎也(愛媛大) 佐々木邦明(山梨大) | |
休憩(10分) | ||
講義2 ネットワーク上の行動モデル:理論と観測(75分) ・行動モデルの応用 ・行動モデルと均衡 | 山本俊行(名古屋大) 井料隆雅(神戸大) | |
12:30-13:00 | Lunch 昼食 | |
for All Participants | ||
13:00-14:30 | Keynote Lecture Behavior Model and Optimization | |
Prof. Michel Bierlaire (EPFL) | ||
14:30-14:50 | Break | |
14:50-16:50 | Pre-exercise Presentation | |
17:00-18:30 | Welcome party (A light food will be served) | |
18:30- | Group exercises |
10/15 (Sun)
for All Participants | |||
8:30-12:30 | Group exercises | ||
---|---|---|---|
12:30-13:30 | Lunch | ||
13:30-17:30 | Final Presentation | ||
17:30-18:00 | Commendation ceremony | ||
We're planning to have an after party. |
Accommodations
We recommend the following accommodations. Other hotels also available near the Univ. Tokyo. Please make reservation by yourself.
■Forest Hongo Hotel フォーレスト本郷 (A few minutes walk from the place)
■Taieikan (Japanese‐style hotel ) 旅館 太栄館 (A few minutes walk from the place)
■Homeikan (Japanese‐style hotel ) 鳳明館 (A few minutes walk from the place)
■Kizankan Hotel ホテル機山館 (8 min. on foot)
■Toyoko INN Hotel 東横INN後楽園文京区役所前 (11 min. on foot)
Venue
Campus Map
Hongo Campus, The University of Tokyo
Access
About 10 minutes walk from Hongo-Sanchome ST.(Marunouchi Line) or Todaimae ST.(Nanboku Line).