Transportation and Urban Design Studio E 2018
for Graduate School of Civil Engineering in 2018 Autumn Semester (A1)
- Prof. Eiji Hato (Professor, Transport Research and Infrastructure Planning (TRIP) Lab.)
- Prof. Takamasa Iryo (Professor, Transport Research and Infrastructure Planning (TRIP) Lab.)
- Assoc Prof. Ryuichi Shibasaki (Associate Professor, Department of Systems Innovation, School of Engineering)
- Dr. Junji Urata (Assistant Professor, Transport Research and Infrastructure Planning (TRIP) Lab.)
- Dr. Wadiya Rallage Samal Sanjeewa Dharmarathna (Posdoc researcher, Transport Research and Infrastructure Planning (TRIP) Lab.)
Place and Time
in Lecture Room No.13 of Engineering Bldg No.1, on Monday and Thursdays 13:00-14:45
Purpose and Contents of the Course
This course focuses on learning some of methodologies to analyze transportations and regions, which are sometimes vulnerable to natural hazards. In addition to it, getting used to the essence of the basic way of theoretical and mathematical thinking in planning is another main target. For fulfilling these purposes, we choose three topics: 1) Traffic flow theory and modelling, 2) Logistics management and analysis, 3) Transportation modelling and statistics.
Schedule of the Course
Topic 1: Traffic Flow Theory and Modelling, by Prof. Iryo and Prof. Hato
Please download the lecture documents of Topic 1 from this page (Password was shared on the lecture)
- Sep. 27: Introduction [file]
- *Oct. 2 (8:30-10:15) Traffic Flow Theory and Modelling (1) *: Day&Time are changed
- *Oct. 4 (16:50-18:35) Traffic Flow Theory and Modelling (2) *: Time is changed
- *Oct. 9 (8:30-10:15) Traffic Flow Theory and Modelling (3) *: Day&Time are changed
- Oct. 15 Final Exercise for Topic 1
Topic 2: Logistics Management and Analysis, by Prof. Shibasaki and Prof. Hato
- Oct. 18 Logistics Operation and Advanced Methodologies (1) Lecture1 WORK
- Oct. 22 Logistics Operation and Advanced Methodologies (2) Lecture2
- Oct. 25 Logistics Operation and Advanced Methodologies (3) Lecture3
- Nov. 1 Final Presentation for Topic 2
Topic 3: Transportation Modelling and Statistics, by Dr. Urata and Dr. Samal, Prof. Hato
** Please bring your laptop which are installed R and RStudio in Topic 3 **
- Oct. 29 Transportation Modelling: Discrete Choice Modelling with "R" (1) Lecture1
- Nov. 5 Transportation Modelling: Advanced Discrete Choice Modelling (2) Lecture2
- Nov. 8 Transportation Modelling: Machine Learning with "R" (3) Lecture3
- Nov. 12 Final Presentation for Topic 3
Schedule of the Course
Assignments in each of the three topics (30 points @ 3), and attendance points for classes (10 points)
Lecture materials and Bibliography
- Train, K., Discrete Choice Methods with Simulation Second edition, Cambridge University Press, 2009.
- Sheffi, Y., Urban transportation network, Pretince Hall, 1985.
- Venables, W. N., Smith, D. M., and the R Core Team, An Introduction to R, 2017.
- Paradis, E., R for Beginners, 2005.