2023 Academic Year: Offered in Wednesdays’ 2nd period during S1/S2 term.

Plans to offer almost the same content in the 2024 academic year.

In this lecture, we will overview advanced transportation technologies integrated with information technology, and acquire skills necessary for traffic data analysis, traffic simulation, and construction of transportation guidance services. Fields such as traffic engineering, which aims for safe and smooth road traffic, and transportation planning, which designs optimal transportation according to demand, are becoming more convenient and efficient through the fusion with modern information technologies that handle vast amounts of data. In this lecture, we will introduce the latest examples and research results in collecting, visualizing, and analyzing transportation data, and applying them to social systems. Students will also gain hands-on experience with programming and data analysis tools using actual traffic data.

Lecture Video Link

Lectures conducted in the 2023 academic year will be available as videos, except for some parts.

1. Introduction to Traffic Informatics

 ・2023 Advanced Traffic Informatics, Session 1 “Introduction to Traffic Informatics” by Masaki Ito (Graduate School of Information Science and Technology, The University of Tokyo)

2. Geographic Information Systems (GIS) and Spatiotemporal Databases 1

 ・2023 Advanced Traffic Informatics, Session 2 “Geographic Information Systems (GIS) and Spatiotemporal Databases 1” by Masaki Ito (Graduate School of Information Science and Technology, The University of Tokyo)

3. Geographic Information Systems (GIS) and Spatiotemporal Databases 2

 ・2023 Advanced Traffic Informatics, Session 3 “Geographic Information Systems (GIS) and Spatiotemporal Databases 2” by Masaki Ito (Graduate School of Information Science and Technology, The University of Tokyo)

4. Public Transportation Data Analysis with PostgreSQL + PostGIS + QGIS 1

 ・2023 Advanced Traffic Informatics, Session 4 “Public Transportation Data Analysis 1 with PostgreSQL + PostGIS + QGIS” by Masaki Ito (Graduate School of Information Science and Technology, The University of Tokyo)

5. Guest Lecture 1: Concept of Mobility as a Service (MaaS) and Its Significance from the Perspective of Transportation Operators (Hirohei Fujigaki, Odakyu Electric Railway Co., Ltd.)

6. Public Transportation Data Analysis with PostgreSQL + PostGIS + QGIS 2

・2023 Advanced Traffic Informatics, Session 7 “Public Transportation Data Analysis 3 with PostgreSQL + PostGIS + QGIS” by Masaki Ito (Graduate School of Information Science and Technology, The University of Tokyo)

7. Public Transportation Data Analysis with PostgreSQL + PostGIS + QGIS 3 – Join Applications, Window Functions

・2023 Advanced Traffic Informatics, Session 7 “Public Transportation Data Analysis 3 with PostgreSQL + PostGIS + QGIS” by Masaki Ito (Graduate School of Information Science and Technology, The University of Tokyo)

8. Network Exploration and Automobile Traffic

9. Introduction to Traffic Flow Simulation

10. Guest Lecture 2: Past and Future of Transportation × IT × Data (Tsunehira Ota, Traffic Brain Co., Ltd.)

11. In-depth Study of Microscopic Traffic Flow Simulation SUMO

12. Revisiting Urban Transportation Planning

13. Future of Traffic Informatics (Discussion)