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Soyoung Ahn

Sue Ahn

Professor

Dr. Soyoung Ahn is a Professor in the Department of Civil and Environmental Engineering at the University of Wisconsin – Madison. She received her Ph.D. (2005) in Civil and Environmental Engineering from the University of California, Berkeley. Her research and teaching interests are in traffic flow theory and operations, Intelligent Transportation Systems applications, and traffic operational impacts on environment and safety. Her research goals are to 1) better understand the fundamental nature of traffic flow through observation, experimentation and the application of quantitative (statistical) methods, 2) examine the environmental and safety impact of traffic flow phenomena, and 3) apply the knowledge in developing traffic theories and control strategies through applications of ITS.

Department

Civil & Environmental Engineering

Contact

2304, Engineering Hall
1415 Engineering Dr
Madison, WI

  • PhD 2005, University of California-Berkeley
  • MS 2001, University of California-Berkeley
  • BS 2000, Ohio State University

  • Traffic Flow Analysis and Modeling
  • Traffic Control
  • Effects of Traffic Flow on Environment
  • Applications of Intelligent Transportation Systems

  • 2023 ACP 50 Traffic Flow Theory and Characteristics Committee, Transportation Research Board, Greenshields Prize (Best Paper Award)
  • 2020 University of Wisconsin-Madison, Vilas Associate
  • 2019 AHB 45 Traffic Flow Theory and Characteristics Committee, Transportation Research Board, Best Paper in Traffic Flow THeory
  • 2016 Transportation Research Board, Cunard Award: Best paper with first young author in the area of operations
  • 2012 National Science Foundation, NSF CAREER Award
  • 2008 Annual ITS Arizona Conference, Best ITS Planning Project
  • 2005 University of California, Berkeley, Outstanding Graduate Student Instructor
  • 2000 University of California, Berkeley, Fellowship
  • 2000 Ohio State University, Robert H. Simpson Memorial Prize for the highest GPA in graduating class
  • 1999 Ohio State University, Undergraduate Honors Fellowship and Internship
  • 1998 Ohio State University, C. Newton Brown Scholarship for academic excellence
  • 1996 Ohio State University, Dean’s List

  • Zhou, Y., Zhang, Z., Ding, F., Ahn, S., Wu, K., & Ran, B. (2024). A Deep Long Short-Term Memory Network Embedded Model Predictive Control Strategies for Car-Following Control of Connected Automated Vehicles in Mixed Traffic. IEEE Transactions on Intelligent Transportation Systems.
  • Kontar, W., & Ahn, S. (2024). A strategic approach to handle performance uncertainties in autonomous vehicle’s car-following behavior. Transportation research part C: emerging technologies, 160, 104499.
  • Zhong, X., Zhou, Y., Kamaraj, V., Zhou, Z., Kontar, W., Negrut, D., Lee, J. D., & Ahn, S. (2024). Human-Machine Interaction in Automated Vehicles: Reducing Voluntary Driver Intervention. arXiv preprint arXiv:2404.05832.
  • Jiang, J., Zhou, Y., Wang, X., & Ahn, S. (2024). On dynamic fundamental diagrams: Implications for automated vehicles. Transportation Research Part B: Methodological, 102979.
  • Yao, S., Zhou, Y., Friedrich, B., & Ahn, S. (2024). Planning trajectories for connected and automated vehicle platoon on curved roads: A two-dimensional cooperative approach. Transportation Research Part C: Emerging Technologies, 165, 104718.
  • Bulson, E. E., Kontar, W., Ahn, S., & Hicks, A. (2024). Reduced travel emissions through a carbon calculator with accessible environmental data: a case study in Madison, Wisconsin. npj Sustainable Mobility and Transport, 1(1), 3.
  • Huang, Z., Chen, S., Pian, Y., Sheng, Z., Ahn, S., & Noyce, D. A. (2024). Toward C-V2X Enabled Connected Transportation System: RSU-Based Cooperative Localization Framework for Autonomous Vehicles. IEEE Transactions on Intelligent Transportation Systems.
  • Tamaru, R., Cheng, Y., Parker, S., Perry, E., Ran, B., & Ahn, S. (2024). Truck Parking Usage Prediction with Decomposed Graph Neural Networks. arXiv preprint arXiv:2401.12920.
  • Zhong, X., Zhou, Y., Ahn, S., & Chen, D. (2024). Understanding heterogeneity of automated vehicles and its traffic-level impact: A stochastic behavioral perspective. Transportation Research Part C: Emerging Technologies, 164, 104667.
  • Tamaru, R., Cheng, Y., Parker, S., Perry, E., Ran, B., & Ahn, S. (2023). Web Portal Development and Site Usage Pattern Analysis for a Multi-State Truck Parking Information Management System (TPIMS). In International Conference on Transportation and Development 2023 (pp. 489–500).

  • CIV ENGR 699 - Independent Study (Spring 2025)
  • CIV ENGR 890 - Pre-Dissertator's Research (Spring 2025)
  • CIV ENGR 990 - Thesis (Spring 2025)
  • CIV ENGR 370 - Transportation Engineering (Fall 2024)
  • CIV ENGR 572 - Transportation Operations (Fall 2024)
  • CIV ENGR 699 - Independent Study (Fall 2024)
  • CIV ENGR 890 - Pre-Dissertator's Research (Fall 2024)
  • CIV ENGR 990 - Thesis (Fall 2024)
  • CIV ENGR 890 - Pre-Dissertator's Research (Summer 2024)
  • CIV ENGR 990 - Thesis (Summer 2024)
  • CIV ENGR 890 - Pre-Dissertator's Research (Spring 2024)
  • CIV ENGR 370 - Transportation Engineering (Fall 2023)
  • CIV ENGR 572 - Transportation Operations (Fall 2023)
  • CIV ENGR 890 - Pre-Dissertator's Research (Fall 2023)
  • CIV ENGR 890 - Pre-Dissertator's Research (Summer 2023)