Dr Weiming Zhao
Dr

Weiming Zhao

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Background

Dr Weiming Zhao is an ARC DECRA Fellow (2026 - 2029) in the School of Civil Engineering at the University of Queensland. His research sits at the intersection of robotics, human behaviour, and infrastructure, focusing on Intelligent Transportation Systems (ITS) and the interactions between Connected and Automated Vehicles (CAVs) and human drivers in mixed traffic. Using control theory and machine learning, including Model Predictive Control and Mathematica-based modelling, he develops trajectory planning solutions for CAVs at intersections and highway merging areas, aiming to improve safety, efficiency, and energy use in both urban and highway settings.

Dr Zhao completed his PhD at the University of Leeds, followed by a postdoctoral position at Aalto University. He joined UQ as a postdoc in 2022, before commencing his DECRA fellowship in 2026. His current DECRA project, Make Automated Vehicles Personalised and Socialised, investigates how control methods for automated vehicles can align with human driver behaviour to build trust.

Availability

Dr Weiming Zhao is:
Available for supervision
Media expert

Fields of research

Artificial intelligence Autonomous agents and multiagent systems Civil engineering Commerce, Management, Tourism and Services Engineering Human-centred computing Information and Computing Sciences Intelligent mobility Logistics Machine learning Planning and decision making Reinforcement learning Road transportation and freight services Social robotics Transport engineering Transportation, logistics and supply chains

Qualifications

  • Masters (Research) of Traffic Operations, Zhejiang University
  • Doctor of Philosophy of Autonomous Vehicles, University of Leeds

Research interests

  • Connected and automated vehicles in mixed traffic

    Modelling interactions between connected and automated vehicles and human drivers to improve traffic flow stability and safety.

  • Control and trajectory planning for automated vehicles

  • Machine learning for traffic data and control

  • Eco-driving for automated vehicles

  • Traffic Flow Modelling

Search Professor Weiming Zhao’s works on UQ eSpace

10 works between 2014 and 2025
All (10) Journal Article (9) Conference Publication (1)

1 - 10 of 10 works

2025

Journal Article

Bounded-METANET: A new discrete-time second-order macroscopic traffic flow model for bounded speed

Zhao, Weiming, Roncoli, Claudio and Yildirimoglu, Mehmet (2025). Bounded-METANET: A new discrete-time second-order macroscopic traffic flow model for bounded speed. Transportation Research Part C: Emerging Technologies, 180 105345, 1-23. doi: 10.1016/j.trc.2025.105345

Bounded-METANET: A new discrete-time second-order macroscopic traffic flow model for bounded speed

2024

Journal Article

A scalable macro–micro approach for cooperative platoon merging in mixed traffic flows

Zhao, Weiming and Yildirimoglu, Mehmet (2024). A scalable macro–micro approach for cooperative platoon merging in mixed traffic flows. Transportation Research Part C: Emerging Technologies, 169 104859, 1-20. doi: 10.1016/j.trc.2024.104859

A scalable macro–micro approach for cooperative platoon merging in mixed traffic flows

2024

Journal Article

Assessing the impact of CAV driving strategies on mixed traffic on the ring road and freeway

Li, Haizhen, Roncoli, Claudio, Zhao, Weiming and Ju, Yongfeng (2024). Assessing the impact of CAV driving strategies on mixed traffic on the ring road and freeway. Sustainability, 16 (8) 3179, 1-23. doi: 10.3390/su16083179

Assessing the impact of CAV driving strategies on mixed traffic on the ring road and freeway

2023

Journal Article

A constrained spectral clustering method for lane identification using trajectory data

Zhao, Weiming and Roncoli, Claudio (2023). A constrained spectral clustering method for lane identification using trajectory data. Transportation Research Part C: Emerging Technologies, 155 104270, 104270. doi: 10.1016/j.trc.2023.104270

A constrained spectral clustering method for lane identification using trajectory data

2021

Conference Publication

Queue profile identification at signalized intersections with high-resolution data from drones

Zhou, Qishen, Mohammadi, Roozbeh, Zhao, Weiming, Zhang, Kaihang, Zhang, Lihui, Wang, Yibing, Roncoli, Claudio and Hu, Simon (2021). Queue profile identification at signalized intersections with high-resolution data from drones. 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), Heraklion, Greece, 16-17 June 202. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/MT-ITS49943.2021.9529337

Queue profile identification at signalized intersections with high-resolution data from drones

2021

Journal Article

A bilevel programming model for autonomous intersection control and trajectory planning

Zhao, Weiming, Liu, Ronghui and Ngoduy, Dong (2021). A bilevel programming model for autonomous intersection control and trajectory planning. Transportmetrica A: Transport Science, 17 (1), 34-58. doi: 10.1080/23249935.2018.1563921

A bilevel programming model for autonomous intersection control and trajectory planning

2019

Journal Article

Competition of airline and high-speed rail in terms of price and frequency: Empirical study from China

Zhang, Rui, Johnson, Daniel, Zhao, Weiming and Nash, Chris (2019). Competition of airline and high-speed rail in terms of price and frequency: Empirical study from China. Transport Policy, 78, 8-18. doi: 10.1016/j.tranpol.2019.03.008

Competition of airline and high-speed rail in terms of price and frequency: Empirical study from China

2018

Journal Article

A platoon based cooperative eco-driving model for mixed automated and human-driven vehicles at a signalised intersection

Zhao, Weiming, Ngoduy, Dong, Shepherd, Simon, Liu, Ronghui and Papageorgiou, Markos (2018). A platoon based cooperative eco-driving model for mixed automated and human-driven vehicles at a signalised intersection. Transportation Research Part C: Emerging Technologies, 95, 802-821. doi: 10.1016/j.trc.2018.05.025

A platoon based cooperative eco-driving model for mixed automated and human-driven vehicles at a signalised intersection

2016

Journal Article

Gating Control for a Single Bottleneck Link Based on Traffic Load Equilibrium

Ma, Dongfang, Fu, Fengjie, Jin, Sheng, He, Zhengbing, Wang, Fujian, Zhao, Weiming and Wang, Dianhai (2016). Gating Control for a Single Bottleneck Link Based on Traffic Load Equilibrium. International Journal of Civil Engineering, 14 (5), 281-293. doi: 10.1007/s40999-016-0043-0

Gating Control for a Single Bottleneck Link Based on Traffic Load Equilibrium

2014

Journal Article

Optimization of time-of-day breakpoints based on improved NJW algorithm

Zhao, Wei-Ming, Wang, Dian-Hai, Zhu, Wen-Tao and Dai, Mei-Wei (2014). Optimization of time-of-day breakpoints based on improved NJW algorithm. Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 48 (12), 2259-2265. doi: 10.3785/j.issn.1008-973X.2014.12.022

Optimization of time-of-day breakpoints based on improved NJW algorithm

Current funding

  • 2026 - 2029
    Make automated vehicles personalised and socialised
    ARC Discovery Early Career Researcher Award
    Open grant

Availability

Dr Weiming Zhao is:
Available for supervision

Looking for a supervisor? Read our advice on how to choose a supervisor.

Available projects

Enquiries

Contact Dr Weiming Zhao directly for media enquiries about:

  • connected and automated vehicles
  • human-centred control
  • Intelligent transport system
  • smart city

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