Journal Publications

S. Oh, Y. Yoon (2024). Urban drone operations: A data-centric and comprehensive assessment of urban airspace with a Pareto-based approach. Transportation Research Part A: Policy and Practice, 182, 104034.

Y. Shin, N. Kim, H. Lee, S. In, M. Hansen, Y. Yoon (2024). Deep learning framework for vessel trajectory prediction using auxiliary tasks and convolutional networks. Engineering Applications of Artificial Intelligence, 132, 107936

Y. Shin, Y. Yoon. (2024). PGCN: Progressive graph convolutional networks for spatial-temporal traffic forecasting. IEEE Transactions on Intelligent Transportation Systems

Y. Shin, Y. Yoon (2023). Performance Evaluation of Building Blocks of Spatial-Temporal Deep Learning Models for Traffic Forecasting. IEEE Access, 11, 136478-136495

Lee, H., Kim, N., Kim, S., & Yoon, Y. (2023). Detecting socioeconomic changes of Chicago regions between 2013 and 2020 using urban region representation learning. Procedia Computer Science, 220, 259-266. 

Seong, G., Kim, N., Kim, S., & Yoon, Y. (2023). Multi-modal Based Region Representation Learning Considering Mobility Data in Seoul. Procedia Computer Science, 220, 251-258. 

Oh, S., & Yoon, Y. (2022). Data-driven risk analysis of unmanned aircraft system operations considering spatiotemporal characteristics of population distribution. Transportation Research Interdisciplinary Perspectives, 16, 100732. 

Kim, N., & Yoon, Y. (2021). Regionalization for urban air mobility application with analyses of 3D urban space and geodemography in San Francisco and New York. Procedia Computer Science, 184, 388-395. 

Cho, J., & Yoon, Y. (2021). Extracting the topology of urban airspace through graph abstraction. Transportation Research Part C: Emerging Technologies, 127, 103116. 

Lee, K., Eo, M., Jung, E., Yoon, Y., & Rhee, W. (2021). Short-term traffic prediction with deep neural networks: A survey. IEEE Access, 9, 54739-54756. 

Noh, Y., Kim, S., Jang, Y. J., & Yoon, Y. (2021). Modeling individual differences in driver workload inference using physiological data. International journal of automotive technology, 22, 201-212. 

Shin, Y., & Yoon, Y. (2020). Incorporating dynamicity of transportation network with multi-weight traffic graph convolutional network for traffic forecasting. IEEE Transactions on Intelligent Transportation Systems, 23(3), 2082-2092. 

Oh, S., Kim, S., & Yoon, Y. (2020). An Analysis of Runway Accident Precursors Based on Latent Class Model. KSCE Journal of Civil Engineering, 24(9), 2784-2793.  

Noh, Y., Kwon, O. H., & Yoon, Y. (2020). Comparative risk factor analyses on bi-level injury severity of taxi and private car crashes in Seoul, South Korea. Traffic injury prevention, 21(3), 188-194. 

Lee, S. E., Jung, J. W., Choi, Y., Yoon, Y. J., & Hong, J. W. (2019). Unmanned aerial vehicle impacts on heat-strengthened glass. IEEE Access, 7, 104269-104278. 

Kim, N., & Yoon, Y. (2019). Cooperative sUAV collision avoidance based on satisficing theory. International Journal of Aeronautical and Space Sciences, 20(4), 978-986. 

Kim, S., & Yoon, Y. (2019). On node criticality of the Northeast Asian air route network. Journal of Air Transport Management, 80, 101693. 

Kim, S., Lee, J., Oh, S., & Yoon, Y. (2019). Assessment of the volcanic hazard of Mt. Paektu explosion to international air traffic using South Korean airspace. Natural Hazards, 96, 647-667. 

Noh, Y., Kim, M., & Yoon, Y. (2018). Elderly pedestrian safety in a rapidly aging society—Commonality and diversity between the younger-old and older-old. Traffic injury prevention, 19(8), 874-879. 

Lee, K., Lee, H., Lee, H., Yoon, Y., Lee, E., & Rhee, W. (2018). Assuring explainability on demand response targeting via credit scoring. Energy, 161, 670-679. 

Kim, S., Rhee, W., Choi, D., Jang, Y. J., & Yoon, Y. (2018). Characterizing driver stress using physiological and operational data from real-world electric vehicle driving experiment. International Journal of Automotive Technology, 19, 895-906. 

Han, J., Lee, E., Cho, H., Yoon, Y., Lee, H., & Rhee, W. (2018). Improving the energy saving process with high-resolution data: A case study in a university building. Sensors, 18(5), 1606. 

Cho, J., & Yoon, Y. (2018). How to assess the capacity of urban airspace: A topological approach using keep-in and keep-out geofence. Transportation Research Part C: Emerging Technologies, 92, 137-149. 

Ud-Din, S., & Yoon, Y. (2018). Analysis of loss of control parameters for aircraft maneuvering in general aviation. Journal of Advanced Transportation, 2018, 1-19.  

Noh, Y., & Yoon, Y. (2017). Elderly road collision injury outcomes associated with seat positions and seatbelt use in a rapidly aging society—A case study in South Korea. PLoS one, 12(8), e0183043. 

Cho, J., You, M., & Yoon, Y. (2017). Characterizing the influence of transportation infrastructure on Emergency Medical Services (EMS) in urban area—A case study of Seoul, South Korea. PloS one, 12(8), e0183241. 

Kwon, O. H., Rhee, W., & Yoon, Y. (2015). Application of classification algorithms for analysis of road safety risk factor dependencies. Accident Analysis & Prevention, 75, 1-15.  

Kwon, O. H., Yoon, Y., & Jang, K. (2014). Evaluating the effectiveness of the law banning handheld cellphone use while driving. Safety science, 70, 50-57.  

Jung, S., Jang, K., Yoon, Y., & Kang, S. (2014). Contributing factors to vehicle to vehicle crash frequency and severity under rainfall. Journal of safety research, 50, 1-10. 

Lee, J. W., Jung, H. J., Park, J. Y., Lee, J. B., & Yoon, Y. (2013). Optimization of building window system in Asian regions by analyzing solar heat gain and daylighting elements. Renewable energy, 50, 522-531.  

Yeo, H., Yoon, Y., & Madanat, S. (2013). Algorithms for bottom-up maintenance optimisation for heterogeneous infrastructure systems. Structure and Infrastructure Engineering, 9(4), 317-328. 

Jung, S., Xiao, Q., & Yoon, Y. (2013). Evaluation of motorcycle safety strategies using the severity of injuries. Accident Analysis & Prevention, 59, 357-364. 

Yoon, Y., Hansen, M., & Ball, M. O. (2012). Optimal route decision with a geometric ground-airborne hybrid model under weather uncertainty. Transportation research part E: logistics and transportation review, 48(1), 34-49.