Teaching

Transportation Systems with Artificial Intelligence (M1586.005100) 2025S

Typically, traffic operation means increasing the efficiency of road traffic facilities by introducing appropriate operation plans based on a sufficient understanding of traffic flow. To this end, it is important to understand the microscopic and macroscopic perspectives on traffic flow, the relationship between traffic flow characteristics such as traffic volume, speed, and density, and the process of how traffic congestion evolves and resolves. Meanwhile, due to the diversification of transportation modes, road transportation has become one of the components of the transportation system, and its scope naturally expanded beyond road transportation facilities. Moreover, although the development of information and communication technology has promoted the qualitative and quantitative growth of collectible information, there have been cases with incomplete information collection or uncertain future predictions due to internal and external factors of the transportation system. Recently, artificial intelligence (AI) has been applied to solve these issues. Therefore, this course visits the transportation-related theories behind traffic flow analysis and traffic signal control, as well as introduces various AI application cases in the traffic operation field, looking at related AI techniques including machine learning, deep learning, and generative AI. In addition, it is expected to provide a broad intellectual base by covering transportation systems included within the expanded category of transportation operations, such as autonomous vehicle control, public transportation, and emerging mobility systems.

Public Transportation Engineering (457.526A) 2024S, 2025S

Compared with personal travel modes, public transportation systems aim to serve a group of users sharing similar spatiotemporal attributes of travel, achieving economies of scale. Thanks to the advances in information and communication technologies, conventional public transportation systems such as buses and subways have improved their operation efficiency. At the same time, they have observed other emerging types of shared and personal modes interacting and/or competing with themselves more. This course, therefore, will focus on the system design and operation of both conventional public transportation systems and other types of travel modes such as shared modes, demand responsive transit, and emerging mobility services, not falling into personal modes. As a result, students are expected to track the state-of-the-art research in the public transportation domain and be equipped with fundamentals that support the development of existing studies and/or discover novel research subject.

Sustainable Transportation Systems (457.316A): 2023F, 2024F

As the population is concentrated in urban areas due to industrialization and urbanization, serious transportation-related problems have emerged. Resident’s quality of life has deteriorated due to traffic congestion increasing travel time and cost and air and noise pollution caused by excessive vehicle use. Public transportation was the optimal alternative to solve these problems, and has been introduced in major metropolitan areas around the world, playing an important role in social and economic activities. In this course, we will take an engineering approach to understand the concept and basics of public transportation and the characteristics of each mode and experience public transportation system planning. We also learn about the relationship between sustainability and public transportation, which has been receiving constant attention in the 21st century. Students in this course will be able to 1) explain the necessity and theoretical background of public transportation, 2) understand engineering factors to be considered when operating a public transportation system and establish a rough plan, and 3) think about sustainability and express your opinions on the direction of future advancement of public transportation.

Advanced Sustainable Transportation (Transportation Economics and Policy) (457.526A): 2024F

The transportation system, one of the key components of modern civilization, also operates according to economic principles that aim to balance supply and demand. Suppliers and consumers select the next step through numerous decision-making processes, and the most representative criterion is analyzing the economic values of the available alternatives. This lecture covers theoretical background and real-world examples of economic factors related to transportation systems, such as travel demand, operating costs, pricing, and benefit analysis. In addition, the term project can provide an opportunity to investigate a given transportation-related problem with the perspective of economics. Students who have taken this course will be able to 1) understand and explain the changing behavior of suppliers and consumers according to economic principles, 2) analyze the impacts of transportation policy and suggest a desirable direction, and 3) apply these in future transportation research.

Traffic Engineering & Lab. (457.208): 2023F

This introductory course provides the basics of traffic engineering including transportation engineering, transportation planning, highway engineering,  public transportation, and other fields. It is recommended to take this course before taking other advanced transportation-related courses in our department. Students will learn the concepts and fundamentals of traffic engineering and the applications in this domain through both lectures and experiences.