Research output per year
Research output per year
Personal profile
Biography
Dong is currently the Head of Transport section and the recipient of the UK Research Council (EPSRC) Advanced Fellow Award (2011-2016) in the area of Connected and Autonomous Vehicles. Dong Ngoduy obtained his PhD in traffic flow theory and simulation from the Technical University of Delft, the Netherlands (TU Delft) in 2006. He worked for the Institute for Transport Studies, University of Leeds, UK until 2017 in the role of research fellow-associate professor in Intelligent Transport Systems, then chaired the Conneted Traffic Systems Lab at the University of Canterbury, NZ before joining MonashCreate University. Dong does research in Connected and Autonomous Vehicles, Traffic Flow Theory and Simulation, Data Fusion and Urban Network Optimization. His current research ambition is to build a smart city research platform which innovates, synergizes, and advances theories and technologies commensurate with the smart transport infrastructure management in mega cities with multi-modal transport modes whilst considering the emerging connected environment.
Research interests
My research interests include (but are not limited to) the understanding of how multi-modal traffic flow systems operate, applications of AI and machine learning to predict and monitor traffic conditions in short-term, and the investigation of the fundamental changes in the dynamics of connected transport systems.
Supervision interests
Traffic flow theory, traffic network optimisation, traffic control, connected and autonomous vehicles (modelling, control and simulation, trajectory planning)
Monash teaching commitment
Transport and traffic engineering
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Traffic flow theory, PhD, Macroscopic discontinuity modelling for multiclass multilane traffic flow operations, Technische Universiteit Delft (Delft University of Technology)
Award Date: 13 Apr 2006
Traffic Engineering, MSc, Linköpings Universitet (Linkoping University)
Award Date: 20 Feb 2002
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A dynamic system optimal dedicated lane design for connected and autonomous vehicles in a heterogeneous urban transport network
Ngoduy, D., Nguyen, C. H. P., Lee, S., Zheng, Z. & Lo, H. K., Jun 2024, In: Transportation Research Part E: Logistics and Transportation Review. 186, 18 p., 103562.Research output: Contribution to journal › Article › Research › peer-review
Open Access1 Citation (Scopus) -
Guest Editorial: Modelling, operation and management of traffic mixed with connected and automated vehicles
Zong, F., Zhong, R., Ma, W., Yang, D., Pu, Z., Dong, N. & He, Z., Mar 2024, In: IET Intelligent Transport Systems. 18, 3, p. 433-435 3 p.Research output: Contribution to journal › Editorial › Other
Open AccessFile -
Inferring heterogeneous treatment effects of crashes on highway traffic: A doubly robust causal machine learning approach
Li, S., Pu, Z., Cui, Z., Lee, S., Guo, X. & Ngoduy, D., Mar 2024, In: Transportation Research Part C: Emerging Technologies. 160, 21 p., 104537.Research output: Contribution to journal › Article › Research › peer-review
3 Citations (Scopus) -
Integrated driving risk surrogate model and car-following behavior for freeway risk assessment
Wu, R., Li, L., Shi, H., Rui, Y., Ngoduy, D. & Ran, B., Jun 2024, In: Accident Analysis and Prevention. 201, 22 p., 107571.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
Stochastic switching mode model based filters for urban arterial traffic estimation from multi-source data
Trinh, X. S., Keyvan-Ekbatani, M., Ngoduy, D. & Robertson, B., Jul 2024, In: Transportation Research Part C: Emerging Technologies. 164, 29 p., 104664.Research output: Contribution to journal › Article › Research › peer-review
Open Access