Dr Seunghyeon Lee is working as a lecturer in the Faculty of Engineering and Information Technology at the University of Technology Sydney. Prior to this position, he had taken up a researcher position at the University of Canterbury and the University of Hong Kong. He has completed Ph.D. degree at the University of Hong Kong in 2016.
Dr Seunghyeon has about 30 publications as Q1 journals, peer-reviewed conference proceedings, and presentations. He has led most of the publications as the first and the corresponding authors. Contributing to the academic field of transportation engineering, he serves as the reviewers for 11 international journals, including Transportation Research Part B: Methodological, IEEE Transactions on Cybernetics, and Accident Analysis and Prevention. Moreover, he has performed about 20 funded research and consultancy projects in transport engineering with his supervisors in South Korea, Hong Kong, and New Zealand.
Dr Seunghyeon's major research interests are traffic management and control, traffic-flow theory, intelligent transportation systems, deep learning approach, and connected and autonomous traffic systems for multimodal transportation networks. He has carried out numerous research projects, including traffic signal control, real-time big-data surveillance and mining algorithms, car-following models, transport optimisations, traffic guidance and road marking, and preliminary feasibility studies on transport infrastructure, stochastic system modeling, and connected traffic systems structure. His research applies a range of approaches, such as empirical surveys, traffic simulation, data recursive process, mathematical programs, and stochastic differential equations.
Can supervise: YES
Lee, S & Wong, SC 2019, 'Group-based approach to derivatives of delay models based on incremental queue accumulations for isolated signalized junctions', TRANSPORTMETRICA B-TRANSPORT DYNAMICS, vol. 7, no. 1, pp. 202-222.View/Download from: Publisher's site
Lee, S, Ngoduy, D & Keyvan-Ekbatani, M 2019, 'Integrated deep learning and stochastic car-following model for traffic dynamics on multi-lane freeways', Transportation Research Part C: Emerging Technologies, vol. 106, pp. 360-377.View/Download from: UTS OPUS or Publisher's site
Ngoduy, D, Lee, S, Treiber, M, Keyvan-Ekbatani, M & Vu, HL 2019, 'Langevin method for a continuous stochastic car-following model and its stability conditions', TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, vol. 105, pp. 599-610.View/Download from: UTS OPUS or Publisher's site
Lee, S, Xie, K, Ngoduy, D, Keyvan-Ekbatani, M & Yang, H 2018, 'A Lane-based Predictive Model of Downstream Arrival Rates in a Queue Estimation Model Using a Long Short-Term Memory Network', INTERNATIONAL SYMPOSIUM OF TRANSPORT SIMULATION (ISTS'18) AND THE INTERNATIONAL WORKSHOP ON TRAFFIC DATA COLLECTION AND ITS STANDARDIZATION (IWTDCS'18) - EMERGING TRANSPORT TECHNOLOGIES FOR NEXT GENERATION MOBILITY, vol. 34, pp. 163-170.View/Download from: Publisher's site
Lee, S, Wong, SC & Varaiya, P 2017, 'Group-based hierarchical adaptive traffic-signal control part I: Formulation', TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, vol. 105, pp. 1-18.View/Download from: Publisher's site
Lee, S, Wong, SC & Varaiya, P 2017, 'Group-based hierarchical adaptive traffic-signal control Part II: Implementation', TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, vol. 104, pp. 376-397.View/Download from: Publisher's site
Lee, S & Wong, SC 2017, 'Group-based approach to predictive delay model based on incremental queue accumulations for adaptive traffic control systems', TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, vol. 98, pp. 1-20.View/Download from: Publisher's site
Lee, S, Wong, SC, Pang, CCC & Choi, K 2015, 'Real-Time Estimation of Lane-to-Lane Turning Flows at Isolated Signalized Junctions', IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, vol. 16, no. 3, pp. 1549-1558.View/Download from: Publisher's site
Lee, S, Lee, J & Choi, K 2010, 'Comparison between legibility of guide signs in diverse weather conditions', 17th ITS World Congress.
The legibility of expressway guide sign covered with retroreflective sheet generally tends to be deteriorated in adverse weather conditions. The purpose of this study is to compare and analyze the legibility of express guide signs in diverse weather conditions. In this study, legible distance of exit direction signs is collected from 4 subjects. In addition, guide sign system established at interchange of West Ansan in the 50th expressway route is modified from existing guide signs system. The size of panel, font, and arrow of modified guide sign system are different from existing guide signs system and these differences are made to improve both visibility and legibility. Accordingly, the effectiveness of modified guide signs system is also analyzed and the effect of diverse weather conditions on visible and legible distance of various expressway guide signs. In addition, Introduction of concentrating lighting signs is examined to ensure sufficient visible and legible distance regardless of weather for driver's safety.