#128 An Infrastructure Based Approach Toward Connected Automated Vehicle-Highway System
Date
2016年7月25日
Venue
Lecture Room No.14, Engineering Building No.1, Hongo Campus The University of Tokyo
An Infrastructure Based Approach Toward Connected Automated Vehicle-Highway System
ウィスコンシン大学のRan Bin教授をお招きして，米国におけるインフラベースのITSに関するご講演をいただきます．詳細は，以下の通りです．ご関心のある方は是非ともご参加ください．
- 日時：2016年7月25日（月）16:30-18:00
- 場所：東京大学本郷キャンパス工学部1号館
（http://www.u-tokyo.ac.jp/campusmap/cam01_04_02_j.html）1階14号教室 - 発表タイトル：An Infrastructure Based Approach Toward Connected Automated Vehicle-Highway System （発表内容の概略については，英文をご覧ください）
- Ran Bin教授について：1986年に清華大学を卒業後，1989年に東京大学で修士号取得し，その後イリノイ大学シカゴ校でPhDを取得．MITやカリフォルニア大学バークレー校に滞在した経験もある．現在，ウィスコンシン大学マディソン校においてITSプログラムのディレクターをしている．専門は，動的交通ネットワークモデル，交通シミュレーション，交通情報システムなど．詳細は，英文をご覧下さい．
- 言語：英語
- 参加費用：無料
- お問い合わせ：
東京大学大学院工学系研究科 羽藤英二教授（hato[@]civil.t.u-tokyo.ac.jp）
東京大学大学院工学系研究科 加藤浩徳教授（kato[@]civil.t.u-tokyo.ac.jp）
We invite you to a special international seminar on ITS where Professor Ran Bin, Professor and Director of ITS Program at the University of Wisconsin at Madison, will make a short talk about the infrastructure-based ITS in the United States. Anybody who is concerned with his talk can join it. The details are shown below. Please contact Prof. Hironori Kato (kato[@]civil.t.u-tokyo.ac.jp) for more details.
- Time and day: From 4:30pm to 6:00 pm on July 25 (Monday), 2016
- Place: Lecture Room No.14, Engineering Building No.1, Hongo Campus The University of Tokyo (Campus map is available at http://www.u-tokyo.ac.jp/en/index.html)
- Presentation Title: “An Infrastructure Based Approach Toward Connected Automated Vehicle-Highway System”
- Abstract:
Internet companies and auto makers have been focusing on developing a vehicle-centric platform for connected vehicle and autonomous driving. This presentation presents an alternative approach, which is infrastructure based and could be more cost-effective and reliable. This presentation will discuss various definitions of Connected and Automated Vehicle-Highway System. In developing these systems in the next few decades, the active roles of transportation planning, design and management agencies and organizations will be presented. In addition, this presentation will discuss about the system architecture, major technologies, and the roadmap to achieve the four levels of automation and connectivity defined by the US DOT in 2015. The system designs, R&D efforts, challenges, and international collaboration will be discussed as well.
- About Professor Ran Bin:
Dr. Bin Ran is a Professor and Director of ITS Program at the University of Wisconsin at Madison. He also served as the Director of the Traffic Operations and Safety Lab (TOPS) at the University of Wisconsin at Madison. Dr. Ran holds the title of National Distinguished Expert in China. Dr. Ran is also the Director for Southeast University – University of Wisconsin Joint Research Institute on Internet of Mobility, which is an international collaborative effort between China and US.
Dr. Ran is an expert in dynamic transportation network models, traffic simulation and control, traffic information system, Internet of Mobility, and Connected Automated Vehicle-Highway System. He has led the development and deployment of various traffic information systems and technologies in the US and China. He has trained younger generations of professors and experts in traffic engineering and Intelligent Transportation Systems (ITS) in the US, China, Korea, and other countries.
Dr. Ran is the author of two leading textbooks on dynamic traffic networks. He has co-authored more than 130 journal papers and more than 220 referenced papers at national and international conferences. He co-authored 6 books on intelligent highways in China. He holds 3 US patents and 10 Chinese patents, and has a few patents pending in the US and China. He is an associate editor of Journal of Intelligent Transportation Systems. He is the Founding President of North America Chinese Overseas Transportation Association (NACOTA, currently named as Chinese Overseas Transportation Association or COTA) from 1996 to 1998.
Earlier in his career, Dr. Ran held positions at the Massachusetts Institute of Technology and the University of California at Berkeley. He is active in the Transportation Research Board and Intelligent Transportation Society of America. Dr. Ran received his PhD from the University of Illinois at Chicago in 1993, his MS from the University of Tokyo in 1989, and his BS from Tsinghua University in 1986.
- Language: English
- Fee: Free of charge
- Contact: Professor Eiji Hato, The University of Tokyo (hato[@]civil.t.u-tokyo.ac.jp) or Professor Hironori Kato, The University of Tokyo (kato[@]civil.t.u-tokyo.ac.jp)
#129 Influences of Intercity Transportation on Economic Development
Date
2016年7月19日
Venue
東京大学本郷キャンパス工学部11号館3階国際プロジェクト研究室セミナールーム
Influences of Intercity Transportation on Economic Development
Seminar on Smart and Connected Communities
Seminar on Smart and Connected Communities
Time:
15:00 – 17:00, July 15, 2016
Topic:
Toward Smart and Connected Communities: Challenges and Opportunities in Transportation
(abstract: see below)
Lecturer:
Prof. Yinhai Wang, University of Washington, USA
Venue:
Large Meeting Room, Graduate School for International Development and Cooperation, Hiroshima University
///////////////////////////////////////////////////////
Abstract:
Transportation involves human, infrastructure, vehicle, and environmental interactions and is therefore a very complicated system. Transportation activities are found affecting public health, air quality, sustainability, etc., and thus tie to everyone’s daily life and are critical for achieving goals of smart and connected communities. Traditionally, transportation has been studied through classical methods, typically with ideal assumptions, limited data support, and poor computing resources. While the theories (such as traffic flow and driver behavior models) developed through these efforts provide valuable insights in understanding transportation-related issues, they are often ineffective in large-scale transportation system analysis with massive amount of data from various sources. With recent advances in sensing, networking, and computing technologies, more and more cities and communities have launched their smart cities/communities plans to improve quality of life, sustainability, efficiency, and productivity. Sensor networks are fundamental elements of smart cities and the data they produce have the potential of generating the intelligence needed to make urban transportation smarter. We expect that many new transportation-related data and computational resources will become available in the smart cities context. These new assets are likely to bring in new opportunities to understand transportation systems better and address those critical transportation issues in a faster, more accountable, and more cost-effective way. To take advantage of these big data, a new theoretical framework and its supporting platform are clearly needed to integrate the quickly growing massive amount of data, typically from numerous sources of varying spatial and temporal characteristics, into the large-scale transportation problem solving and decision making processes. Efforts along this line are likely to form up a new subject area, namely e-science of transportation, in the years to come. Through his talk, the speaker will share his vision and pilot research on extracting transportation big data streams from the smart cities sensor networks and demonstrate the values of these data in large-scale system analysis and decision support through an online regional-map-based data platform named Digital Roadway Interactive Visualization and Evaluation Network (DRIVE Net).
Short bio of the lecturer:
Dr. Yinhai Wang is a professor in transportation engineering and the founding director of the Smart Transportation Applications and Research Laboratory (STAR Lab) at the University of Washington (UW). He also serves as director for Pacific Northwest Transportation Consortium (PacTrans), USDOT University Transportation Center for Federal Region 10. Dr. Wang has a Ph.D. in transportation engineering from the University of Tokyo (1998) and a master’s degree in computer science from the UW. Dr. Wang’s active research fields include traffic sensing, smart transportation systems, e-science of transportation, transportation safety, etc.
Dr. Wang has actively involved in numerous research projects and received over $53 million of research funds as principal investigator over the past fifteen years. He has published over 110 peer-reviewed journal articles, three edited books, one book chapter, and nearly 50 peer-reviewed conference papers. To disseminate research findings, he has delivered over 120 invited talks and nearly 200 other academic presentations.
Dr. Wang serves as a member of the Transportation Information Systems and Technology Committee and Highway Capacity and Quality of Service Committee of the Transportation Research Board (TRB). He is currently on the Board of Governors for the ASCE Transportation & Development Institute and a member of the steering committee for the IEEE Smart Cities. He was an elected member of the Board of Governors for the IEEE ITS Society from 2010 to 2013. Additionally, Dr. Wang is associate editor for three journals: Journal of ITS, Journal of Computing in Civil Engineering, and Journal of Transportation Engineering. He was the winner of the ASCE Journal of Transportation Engineering Best Paper Award for 2003. He was also a conference co-chair for the 2015 IEEE International Smart Cities Conference to be held in Guadalajara, Mexico from October 25 to 28 2015.
#127 International seminar on disaster management and humanitarian logistics
Date
2016年7月15日
Venue
Rohm Plaza, Katsura Campus, Kyoto University
International seminar on disaster management and humanitarian logistics
Application: Please send an email to Qureshi.aligu.4c[@]Kyoto-u.ac.jp
Audience: The seminar is open to general public, academia, and practitionersProgram:
9:30-9:40 Eiichi Taniguchi (Kyoto University)
Welcome
9:40-10:20 Eiichi Taniguchi (Kyoto University)
Humanitarian logistics in disasters
10:20-11:00 Russell G. Thompson (University of Melbourne)
Transport modelling for improved disaster management
11:00- 11:20 Break
11:20-12:00 Benny Chen (University of Melbourne)
Intelligent Disaster Decision Support System (IDDSS) and Transport
12:00- 13:30 Lunch
13:30-14:10 Jan-Dark Schmoecker (Kyoto University)
Analysing Evacuation Decisions with Data from the 2011 Great East Japan earthquake
14:10-14:50 Arash Kavani (University of Melbourne)
Modelling for Traffic Management after disasters
14:50-15:30 Rubel Das (Tohoku University)
Analysis of different relief distribution strategies during limited information environment
15:30-15:40 Russell G. Thompson (University of Melbourne)
Closing remarks
#126 Toward Smart and Connected Communities: Challenges and Opportunities in Transportation
Date
2016年7月15日
Venue
Large Meeting Room, 1F, IDEC, Hiroshima University
Toward Smart and Connected Communities: Challenges and Opportunities in Transportation
講演会「健康経営とまちづくりへの展開」
健康まちづくり研究小委員会ワンディセミナー
#79 開発途上国の交通に関するセミナー International Seminar on Transportation in Developing Countries
Date
2016年6月13日
Venue
JICA市ヶ谷ビル セミナールーム
開発途上国の交通に関するセミナー International Seminar on Transportation in Developing Countries
#125 開発途上国の交通に関するセミナー International Seminar on Transportation in Developing Countries （ワンデイセミナー No.79）
Date
2016年6月13日
Venue
JICA市ヶ谷ビル セミナールーム
開発途上国の交通に関するセミナー International Seminar on Transportation in Developing Countries （ワンデイセミナー No.79）
#124 Transport Modeling in the Era of Cloud Computing and Big Data
Date
2016年5月31日
Venue
東京工業大学大岡山キャンパス石川台4号館B02-05会議室
Transport Modeling in the Era of Cloud Computing and Big Data
2016年度土木計画学研究委員会 第1回国際セミナー（通算 第124回国際セミナー）Transport Modeling in the Era of Cloud Computing and Big Data
日時：2016年5月31日(火) 9：00-12：00 (8:30受付開始)
場所：東京工業大学大岡山キャンパス石川台4号館B02-05会議室（地下1階）
http://www.titech.ac.jp/maps/ookayama/
使用言語：英語
セミナー概要：
– Latest in our flagship product Cube, a comprehensive toolbox for transport and land use planning
（Cubeの紹介と交通・土地利用計画への適用）
– New innovative tools by integrating Cube with GIS, Cloud computing, and Big Data Analytics for accessibility analysis and public transport planning, operations and management.
（公共交通計画のためのCubeとGIS，クラウドコンピューティング，ビッグデータの統合ツールの紹介）
プログラム:
08:30 – 09:00 Registration
09:00 – 09:10 Opening Remarks by Professor Shinya Hanaoka
09:10 – 09:20 Welcome Remarks and Introduction of Citilabs ? Mr. Luke Cheng
09:20 – 10:30 Self Introduction
09:30 – 10:30 Cube ? Transportation and Land Use Solutions ? Mr. Luke Cheng
10:30 – 10:45 Coffee Break
10:45 – 11:45 Harnessing Big Data for Better Public Transport Planning & Operations ? Mr. Luke Cheng
11:45 – 12:00 Q&A
12:00 – 13:00 Lunch time (Lunch Box)
参加申込み方法：
件名を「5月31日Cubeセミナー参加希望」として，本文にお名前・ご所属をご記入の上，以下のアドレスにお送りください。
参加費は無料です。弁当も準備しておりますので，弁当希望の有無をお知らせください。
会場の定員になり次第，お申込みを終了させて頂くことがございます。
Mr. Luke Cheng: lcheng[at]citilabs.com（英語のみ）
川崎智也：kawasaki[at]ide.titech.ac.jp
※[at]を@に変換してください．