Selected as the university to carry out the Innovative Human Resources Development project for Smart City in 2019 (from 2019 to 2023) by Ministry of Land, Infrastructure and Transport and Korea Agency for Infrastructure Technology Advancement (KAIA), Seoul National University plans to carry forward the training of core professionals necessary for industrial revitalization and expansion to the overseas market with the specialized education program reflecting the need of the smart city industry. In order to train the core professionals, we have newly set up the Smart City Engineering Program in the Department of Civil and Environmental Engineering and enhanced the linkage with the undergraduate courses by utilizing diversity of the participating professors of seven Departments (Dept. of the Civil and Environmental Engineering, Dept. of the Computer Science and Engineering, Dept. of the Architecture and Architectural Engineering, etc.). *The number of participating professors will be increased in the future.

Kim, Dong-Kyu Associate Professor

• Transportation Planning

• +82-2-880-7348

• 35-308

• dongkyukim@snu.ac.kr

• http://trlab.kr

Transportation Planning and Logistics Laboratory

+82-2-880-7377 35-424

Transportation and logistic systems are one of the crucial infrastructures that allow economic activities of countries to be carried out. Furthermore, developing safe and convenient transportation and logistic systems is closely related to the quality of life to the members of the society. Transportation planning and logistics laboratory deals with a variety of topics related to planing and designing sustainable transportation and logistic systems that assures efficiency, safety, and convenience. Courses that are offered include 「Transportation Planning and Laboratory」, 「Design of Transportation System」, 「Transportation Optimization Techniques」, 「Transportation Network Theory」, 「Advanced Sustainable Transportation」. Research topics that are currently being progressed include transportation and logistic demand forecasting, optimal location and size decision, and optimal operation methods.