Associate Professor Mehmet Yildirimoglu
Associate Professor

Mehmet Yildirimoglu

Email: 

Background

Mehmet Yildirimoglu is a Senior Lecturer of Transport Engineering at the School of Civil Engineering. Mehmet received his B.Sc. degree in civil engineering from the Middle East Technical University (METU) in 2009, M.Sc. degree in civil engineering from the Rutgers University in 2011 and Ph.D. degree in civil engineering from École Polytechnique Fédérale de Lausanne (EPFL) in 2015. Prior to joining the School of Civil Engineering at the University of Queensland in 2016, he was a Postdoctoral researcher at EPFL, Switzerland. His research revolves around large-scale traffic modeling, dynamic traffic assignment, data mining techniques and real-time traffic management.

Availability

Associate Professor Mehmet Yildirimoglu is:
Available for supervision

Qualifications

  • Doctor of Philosophy, Institution to be confirmed

Research interests

  • Traffic flow theory

  • Dynamic traffic assignment

  • Travel time estimation

  • Urban transportation systems

  • Data mining

  • Real-time traffic management

Search Professor Mehmet Yildirimoglu’s works on UQ eSpace

66 works between 2011 and 2026
All (66) Journal Article (38) Other Outputs (1) Conference Publication (27)

1 - 20 of 66 works

2026

Journal Article

Mode choice shifts to electric micromobility for car and public transport users

Wu, Yikang, Yildirimoglu, Mehmet and Zheng, Zuduo (2026). Mode choice shifts to electric micromobility for car and public transport users. Transportation Research Part D: Transport and Environment, 158 105442, 105442-105442. doi: 10.1016/j.trd.2026.105442

Mode choice shifts to electric micromobility for car and public transport users

2026

Journal Article

An equity-aware, data-driven congestion pricing: application of constrained deep reinforcement learning

Parishad, Nasser, Yildirimoglu, Mehmet and Hickman, Mark (2026). An equity-aware, data-driven congestion pricing: application of constrained deep reinforcement learning. Transportation Research Part C: Emerging Technologies, 189 105713, 105713. doi: 10.1016/j.trc.2026.105713

An equity-aware, data-driven congestion pricing: application of constrained deep reinforcement learning

2026

Other Outputs

An Interactive survey to explore a driver’s decisions in connected and incentivised on-ramp merging

Zheng, Zuduo, Yildirimoglu, Mehmet, Mohammadian, Saeed and Samarakoon, Gayasha (2026). An Interactive survey to explore a driver’s decisions in connected and incentivised on-ramp merging. The University of Queensland. (Dataset) doi: 10.48610/429d67e

An Interactive survey to explore a driver’s decisions in connected and incentivised on-ramp merging

2026

Journal Article

Modeling car owners’ stated preferences for electric micro-mobility ownership: evidence from a mixed logit approach

Wu, Yikang, Yildirimoglu, Mehmet and Zheng, Zuduo (2026). Modeling car owners’ stated preferences for electric micro-mobility ownership: evidence from a mixed logit approach. Transport Policy, 181 104063, 104063. doi: 10.1016/j.tranpol.2026.104063

Modeling car owners’ stated preferences for electric micro-mobility ownership: evidence from a mixed logit approach

2026

Journal Article

A physics-informed uncertainty quantification framework for deep learning-based real-time lane-change intention prediction

Cao, Zhuo, Zheng, Zuduo, Yildirimoglu, Mehmet and Haque, Shimul Md. Mazharul (2026). A physics-informed uncertainty quantification framework for deep learning-based real-time lane-change intention prediction. Transportation Research Part C-Emerging Technologies, 187 105637. doi: 10.1016/j.trc.2026.105637

A physics-informed uncertainty quantification framework for deep learning-based real-time lane-change intention prediction

2026

Journal Article

A Physics-Informed Deep learning framework for traffic state estimation in signalized arterial roads

Abewickrema, Wanuji, Yildirimoglu, Mehmet and Kim, Jiwon (2026). A Physics-Informed Deep learning framework for traffic state estimation in signalized arterial roads. Transportation Research Part C: Emerging Technologies, 182 105420, 1-26. doi: 10.1016/j.trc.2025.105420

A Physics-Informed Deep learning framework for traffic state estimation in signalized arterial roads

2025

Conference Publication

Distance-based pricing in multi-modal urban networks with deep reinforcement learning

Parishad, Nasser, Yildirimoglu, Mehmet and Hickman, Mark (2025). Distance-based pricing in multi-modal urban networks with deep reinforcement learning. 2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), Gold Coast, QLD, Australia, 18-21 November 2025. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/itsc60802.2025.11423199

Distance-based pricing in multi-modal urban networks with deep reinforcement learning

2025

Conference Publication

Koopman-Driven Predictive Modeling of Vehicle-Driver Interaction

Singh, Abhimanyu Pratap, Lim, Kai Li, Kanchwala, Husain and Yildirimoglu, Mehmet (2025). Koopman-Driven Predictive Modeling of Vehicle-Driver Interaction. IEEE. doi: 10.1109/itsc60802.2025.11423133

Koopman-Driven Predictive Modeling of Vehicle-Driver Interaction

2025

Conference Publication

Reflective LLM Prompt Optimisation for Interpreting GNN Predictions in Traffic Forecasting

Zhang, Zetong, Kim, Jiwon, He, Dan and Yildirimoglu, Mehmet (2025). Reflective LLM Prompt Optimisation for Interpreting GNN Predictions in Traffic Forecasting. IEEE. doi: 10.1109/itsc60802.2025.11423238

Reflective LLM Prompt Optimisation for Interpreting GNN Predictions in Traffic Forecasting

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

2025

Journal Article

An integrated method based on wavelet modulus maxima and local Holder exponents for automatic phase detection and labelling of lane-changing execution

Cao, Zhuo, Zheng, Zuduo, Yildirimoglu, Mehmet and (Md. Mazharul) Haque, Shimul (2025). An integrated method based on wavelet modulus maxima and local Holder exponents for automatic phase detection and labelling of lane-changing execution. Transportation Research Part C: Emerging Technologies, 179 105285, 1-35. doi: 10.1016/j.trc.2025.105285

An integrated method based on wavelet modulus maxima and local Holder exponents for automatic phase detection and labelling of lane-changing execution

2025

Journal Article

Congestion pricing in multi-modal networks: an application of deep reinforcement learning

Parishad, Nasser, Yildirimoglu, Mehmet and Hickman, Mark (2025). Congestion pricing in multi-modal networks: an application of deep reinforcement learning. Transportation Research Part C: Emerging Technologies, 177 105166, 105166. doi: 10.1016/j.trc.2025.105166

Congestion pricing in multi-modal networks: an application of deep reinforcement learning

2025

Journal Article

An ensemble deep learning framework for real-time queue length estimation at signalized intersections

Abewickrema, Wanuji, Yildirimoglu, Mehmet and Kim, Jiwon (2025). An ensemble deep learning framework for real-time queue length estimation at signalized intersections. Data Science for Transportation, 7 (2) 15, 1-18. doi: 10.1007/s42421-025-00129-1

An ensemble deep learning framework for real-time queue length estimation at signalized intersections

2025

Journal Article

Integrating road network operations planning into real-time traffic management: A conceptual framework

Keblawi, Mahmud, Maripini, Himabindu, Kim, Jiwon, Hickman, Mark, Zheng, Zuduo and Yildirimoglu, Mehmet (2025). Integrating road network operations planning into real-time traffic management: A conceptual framework. Transportation Research Interdisciplinary Perspectives, 32 101525, 1-23. doi: 10.1016/j.trip.2025.101525

Integrating road network operations planning into real-time traffic management: A conceptual framework

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

2023

Journal Article

Nonlinear model predictive control of large-scale urban road networks via average speed control

Sirmatel, Isik Ilber and Yildirimoglu, Mehmet (2023). Nonlinear model predictive control of large-scale urban road networks via average speed control. Transportation Research Part C: Emerging Technologies, 156 104338, 1-15. doi: 10.1016/j.trc.2023.104338

Nonlinear model predictive control of large-scale urban road networks via average speed control

2023

Journal Article

A hybrid modelling framework for the estimation of dynamic origin–destination flows

Kumarage, Sakitha, Yildirimoglu, Mehmet and Zheng, Zuduo (2023). A hybrid modelling framework for the estimation of dynamic origin–destination flows. Transportation Research Part B: Methodological, 176 102804, 1-27. doi: 10.1016/j.trb.2023.102804

A hybrid modelling framework for the estimation of dynamic origin–destination flows

2023

Journal Article

Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimation

Abewickrema, Wanuji, Yildirimoglu, Mehmet and Kim, Jiwon (2023). Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimation. Transportation Research Part C: Emerging Technologies, 154 104238, 1-19. doi: 10.1016/j.trc.2023.104238

Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimation

2023

Journal Article

Demand and state estimation for perimeter control in large-scale urban networks

Kumarage, Sakitha, Yildirimoglu, Mehmet and Zheng, Zuduo (2023). Demand and state estimation for perimeter control in large-scale urban networks. Transportation Research Part C: Emerging Technologies, 153 104184, 104184. doi: 10.1016/j.trc.2023.104184

Demand and state estimation for perimeter control in large-scale urban networks

2023

Journal Article

Estimation of macroscopic fundamental diagram solely from probe vehicle trajectories with an unknown penetration rate

Saffari, Elham, Yildirimoglu, Mehmet and Hickman, Mark (2023). Estimation of macroscopic fundamental diagram solely from probe vehicle trajectories with an unknown penetration rate. IEEE Transactions on Intelligent Transportation Systems, 24 (12), 14970-14981. doi: 10.1109/tits.2023.3303439

Estimation of macroscopic fundamental diagram solely from probe vehicle trajectories with an unknown penetration rate

Current funding

  • 2026 - 2029
    Shaping net-zero cities with safe and efficient micromobility solutions
    ARC Discovery Projects
    Open grant

Past funding

  • 2024 - 2025
    AI Solutions for Enhancing SIDRA Network Model for Road Traffic Congestion Analysis
    iMove Cooperative Research Centre
    Open grant
  • 2022 - 2024
    Framework and Conceptual Solution for Integrating Road Network Operations Planning into Real-time Traffic Management
    iMove Cooperative Research Centre
    Open grant
  • 2022 - 2025
    Rethinking traffic modelling for next generation city-scale networks
    ARC Discovery Early Career Researcher Award
    Open grant
  • 2021 - 2024
    Unifying Traffic Modelling and Safety Management for Safer and Faster Roads
    ARC Discovery Projects
    Open grant
  • 2019 - 2024
    Real-time Analytics on Urban Trajectory Data for Road Traffic Management
    ARC Linkage Projects
    Open grant

Availability

Associate Professor Mehmet Yildirimoglu is:
Available for supervision

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

Available projects

Supervision history

Current supervision

  • Doctor Philosophy

    Autonomous vehicle control strategies for driving safety

    Principal Advisor

    Other advisors: Dr Kai Li Lim

  • Doctor Philosophy

    Traffic modelling and control in next-generation cities

    Principal Advisor

    Other advisors: Professor Zuduo Zheng

  • Doctor Philosophy

    An efficient traffic modelling framework for large-scale networks

    Principal Advisor

    Other advisors: Professor Mark Hickman

  • Doctor Philosophy

    An investigation on the allocation of fast-charging stations considering renewable energy sources

    Principal Advisor

    Other advisors: Associate Professor Jiwon Kim

  • Doctor Philosophy

    Lane Change Modelling for Mixed Traffic: Phase Detection, Perception, Prediction, and Social Interactions

    Associate Advisor

    Other advisors: Professor Zuduo Zheng

  • Doctor Philosophy

    Fundamental Issues in Calibrating and Validating Microscopic Traffic Dynamics of Automated and Human-driven Vehicles

    Associate Advisor

    Other advisors: Professor Zuduo Zheng

  • Doctor Philosophy

    Model interpretation and data-centric modeling for advanced traffic prediction (MINDMAP)

    Associate Advisor

    Other advisors: Associate Professor Jiwon Kim

Completed supervision

Enquiries

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